Next Article in Journal
A Small Hybrid Power System of Photovoltaic Cell and Sodium Borohydride Hydrolysis-Based Fuel Cell
Next Article in Special Issue
Editorial for the Special Issue on Inertial Microfluidics
Previous Article in Journal
A Hybrid Fuzzy Decision Model for Evaluating MEMS and IC Integration Technologies
Previous Article in Special Issue
Inertial Microfluidics Enabling Clinical Research
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Micromachines
Volume 12
Issue 3
10.3390/mi12030277
micromachines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Transport of Non-Spherical Particles in Square Microchannel Flows: A Review

by
Tohme Tohme
,
Pascale Magaud
and
Lucien Baldas
*
Institut Clément Ader (ICA), INSA, ISAE-SUPAERO, Mines-Albi, UPS, Université de Toulouse, 3 rue Caroline Aigle, 31400 Toulouse, France
*
Author to whom correspondence should be addressed.
Micromachines 2021, 12(3), 277; https://0-doi-org.brum.beds.ac.uk/10.3390/mi12030277
Submission received: 7 February 2021 / Revised: 27 February 2021 / Accepted: 2 March 2021 / Published: 7 March 2021
(This article belongs to the Special Issue Inertial Microfluidics)
Browse Figures
Versions Notes

Abstract

:
Understanding the behavior of a single particle flowing in a microchannel is a necessary step in designing and optimizing efficient microfluidic devices for the separation, concentration, counting, detecting, sorting, or mixing of particles in suspension. Although the inertial migration of spherical particles has been deeply investigated in the last two decades, most of the targeted applications involve shaped particles whose behavior in microflows is still far from being completely understood. While traveling in a channel, a particle both rotates and translates: it translates in the streamwise direction driven by the fluid flow but also in the cross-section perpendicular to the streamwise direction due to inertial effects. In addition, particles’ rotation and translation motions are coupled. Most of the existing works investigating the transport of particles in microchannels decouple their rotational and lateral migration behaviors: particle rotation is mainly studied in simple shear flows, whereas lateral migration is neglected, and studies on lateral migration mostly focus on spherical particles whose rotational behavior is simple. The aim of this review is to provide a summary of the different works existing in the literature on the inertial migration and the rotational behavior of non-spherical particles with a focus and discussion on the remaining scientific challenges in this field.

1. Introduction

Many applications in various fields, such as agriculture, biomedicine, environmental sciences, food technology, and the pharmaceutical industry, demand counting, detecting, sorting, and/or orienting particles in a suspending fluid. The conventional separation processes (settling, centrifugation, membrane filtration…) require large volumes and have an important energetic cost. In the past decade, miniaturized particle separation systems using microfluidic flows have been developed: they allow lowering the sample volumes and the energetic cost and increasing the adaptability to automation and the portability of the devices. These microsystems often include a preliminary stage in which the particles are focused into a tight stream.
A diverse set of methods has emerged to help to achieve focusing at the microscale [1]: some of them require additional sheath flows [2], while others demand an outer force that can be electric [3], magnetic [4], optical [5], or acoustic [6]. However, the requirement of sheath flows and/or external forces complicates the device fabrication, increases the cost, makes miniaturization difficult, and could also damage biological cells flowing in the device. More recently, inertial focusing techniques have gained significant attention, since they only rely on the behavior of the particles in the channel without using any sheath flows or outer forces. This behavior is controlled by the hydrodynamic interactions between the fluid and the particles and between the different particles flowing together.
The phenomenon of inertial migration was first observed by Poiseuille in 1836 [7], while studying blood flows; then, it was quantitatively confirmed in 1962 by the experiments of Segré and Silberberg on spherical particles [8,9]. It has been shown that under specific flow and geometrical conditions, flowing particles naturally migrate toward lateral equilibrium positions where they concentrate. The number and the locations of the equilibrium positions vary in function of parameters related to the channel (cross-section (Figure 1) and length), the particle (shape, size and deformability), the suspension (solid volume fraction and type of suspending fluid), and the flow (flow rate, type of flow). After migrating laterally, the particles are shown to form trains, as it will be detailed in Section 3.
The mechanisms of inertial migration were highlighted by Matas et al. [12]. Three primary lift forces carry the particles across the streamlines toward their equilibrium positions in rectangular and square microchannels: the wall-induced lift force that pushes the particle away from the wall, the shear-induced lift force that drags the particle close to the wall, and the rotation-induced lift force. These three lift forces are depicted in Figure 2.
Most of the theoretical, numerical, and experimental works conducted on inertial migration during the last two decades have mainly investigated spherical particles. This simple geometry can be easily fabricated for experimental studies and quickly represented mathematically and numerically. These works have increased the knowledge on the transport of spherical particles in microchannels and demonstrated the ability of inertial focusing methods to separate particles based on their sizes. For example, Di Carlo [13] highlighted the possibility to separate particles of different sizes within the transverse plane of the channel. The separation was experimentally proven by Bhaghat et al. [14] by extracting 590 nm particles from a mixture of 1.9 µm and 590 nm particles using inertial migration.
However, particles found in real suspensions are rarely spherical. For instance, a human red blood cell adopts a biconcave disk-like shape in the body, Escherichia coli is cylindrical, and Euglena gracilis has an ellipsoidal geometry. Furthermore, in many applications, particles of the same size but different geometries can be found, which complicates the size-based separation or even makes it impossible. Thus, shape could serve as a specific marker in the separation, which raises a question: How do non-spherical particles travel in a microchannel? The transport of non-spherical particles in a microchannel is indeed much more complicated than the transport of spherical ones, since their translational and rotational motions are strongly coupled [15,16,17]. Thus, both rotational and migratory behaviors should be considered when studying non-spherical particles flowing in a microchannel. Other particle properties such as deformability or surface topography can play an important role in inertial focusing [18], but the physical mechanisms involved are different. As the main objective of this review was to better understand the role played by the particles’ shape in their inertial migration and rotational behavior, these two parameters were not considered in our analysis.
The aim of this review is, by analyzing and comparing works in the literature investigating the flow transport of rigid non-spherical particles, to identify and summarize the main findings and remaining questions related to the behavior of complex shape particles flowing in microchannels. Section 2 covers the studies done on the rotational motions of different non-spherical particles in straight shear flows. In Section 3, we present the transport of non-spherical particles flowing in a straight square microchannel where the lateral migration has to be considered. Finally, in Section 4, an overall summary of the review is given, conclusions are drawn, and unanswered questions related to the inertial migration and rotational behavior of a non-spherical particle are identified. Table 1 summarizes the references dealing with suspensions of non-spherical particles cited in this review paper. These works are classified according to the phenomena investigated (rotational behavior, inertial migration), the type of flow (unbounded and bounded shear flows, Poiseuille flow), and the approach adopted by the researchers (theoretical, numerical, or experimental approach).

2. Rotational Behavior of a Non-Spherical Particle in a Shear Flow

Different geometries have been studied in the literature. They can be classified into three main categories: ellipsoids, non-ellipsoidal axisymmetric particles, and asymmetrical ones (see Figure 3). Based on the aspect ratio of the particle (λ = radial diameter/equatorial diameter), an ellipsoid can be a prolate or an oblate (λ > 1 and λ < 1, respectively). Similarly, non-ellipsoidal axisymmetric particles are subclassified into rod-shaped particles (λ > 1) and disc-shaped ones (λ < 1).

2.1. Ellipsoidal Particle

Since an ellipsoid is the closest non-spherical shape to a sphere, the first studies done on the effect of the shape of a particle on its rotational behavior investigated ellipsoidal particles. These first studies were mainly theoretical and numerical.

2.1.1. Jeffery’s Theory

In 1922, Jeffery [19] theoretically studied the rotational behavior of an ellipsoid in a simple shear flow. The particle was rigid, isolated, and neutrally buoyant; the fluid was Newtonian, and the suspension flowed in a simple shear, creeping, unbounded flow (i.e., with a constant shear rate and with neglected fluid inertia and wall effects).
Jeffery found that an ellipsoid rotates around the vorticity axis (perpendicular to the flow-gradient plane) along one of an infinite set of closed orbits, the so-called Jeffery orbits, which are dependent on the initial conditions, the shear rate, and the spheroid’s aspect ratio. This mode of rotation is called “kayaking”, since the particle’s trajectory resembles the motion of a kayak paddle (Figure 4a,b1–b3). The two extreme orbits are called “tumbling”, when the axis of revolution of the particle is rotating in the flow-gradient plane (Figure 4a,c1–c3), and “log-rolling” when the particle rotates around its axis of revolution aligned with the vorticity axis (Figure 4a,d1–d3).
Jeffery also showed that the particle’s angular velocity is not constant but periodic. It has a maximum value when the particle’s axis of revolution is perpendicular to the direction of the fluid motion and a minimum value when the particle is aligned with the flow. The period of rotation T is the time needed to complete one orbit. It depends on the shear rate γ and the particle’s aspect ratio λ, and it can be calculated as follows:
T = (λ +1/λ) × 2π/γ.

2.1.2. Extension of Jeffery’s Theory for General Shear Flows

Bretherton et al. [20] extended Jeffery’s theory. They theoretically investigated the rotational behavior of an ellipsoid flowing in a general shear flow, where the shear rate γ changes with the position. The results validated Jeffery’s analysis: the particle orbits around the vorticity axis and has a period of rotation T that can be calculated using Equation (1), with γ equal to the shear rate at the center of the studied particle.

2.1.3. Effect of Fluid Inertia

Fluid inertia is shown to have a significant influence on the dynamics of particles suspended in a fluid: it makes ellipsoids adopt a rotational behavior that is different from the one found by Jeffery [19].
For a small non-zero Reynolds number, a prolate particle gradually turns its axis of revolution into the flow-gradient plane in order to tumble [27] (Figure 4a1,a2). The tumbling mode corresponds to the orbit with the maximal energy dissipation [21,28]. At high Reynolds numbers, other rotational modes have been observed by several authors. Ding and Aidun [36] found that above a critical Reynolds number (Re ≈ 29 for neutrally buoyant particles), a prolate can cease rotating in a steady-state flow. According to them, this change in the particle’s rotational motion is due to modifications in the recirculation zones created around the moving particle. In the absence of inertia, the streamlines are fully attached, and therefore, the torque on the ellipsoid is always forcing it to rotate, creating a time-periodic state. This rotating state is stable. However, at Re > 0, the streamlines detach, creating recirculation zones that influence the particle’s behavior by generating an opposing torque and thus decreasing the net torque exerted on the particle. Beyond the critical Reynolds number, the opposing torque becomes high enough to stop the particle from rotating. This steady-state mode has not been observed by other authors. Qi and Luo [32,33] identified in lieu three different rotational modes with increasing inertia: at low Re (Re < 205), the prolate tumbles in the flow-gradient plane; at intermediate Re (205 < Re < 345), the axis of the spheroid deviates from the flow-gradient plane, and at higher Re (345 < Re < 467), the prolate rolls with its revolution axis aligned with the vorticity axis. According to Yu et al. [37], a prolate spheroid flowing in a simple shear flow with Re increasing from 0 to 256 undergoes the following transitions: Jeffery’s orbit, tumbling, kayaking, log-rolling, and inclined rolling (log-rolling around a tilted axis with respect to the vorticity axis). Huang et al. [38] also found numerically an additional rotational mode that they called inclined kayaking. Both Yu et al. [37] and Huang et al. [38] found that some of these solutions co-exist for a given set of parameters and that the final rotational mode depends on the initial conditions.
In the case of an oblate and in the presence of fluid inertia, Saffman [27] theoretically showed that the axis of symmetry of the particle gradually aligns with the vorticity axis imposing a log-rolling rotational mode (Figure 5b1,b2). For high Reynolds numbers (220 < Re < 467), Qi and Luo [32,33] showed that the inclined log-rolling is the dominant rotational regime. According to Yu et al. [37], an oblate spheroid in a simple shear flow with Re increasing from 0 to 192 undergoes the following transitions: Jeffery orbit, log-rolling, inclined rolling, and steady-state. During this last rotational mode, the oblate does not rotate and has its axis of revolution aligned with the gradient axis.
To summarize, the studies converge on the fact that prolate ellipsoids flowing in low-inertia shear flows tumble and oblate particles log-roll. However, at higher values of Re, the results diverge, and different rotational modes are observed.

2.1.4. Extension of Jeffery’s Theory for Bounded Flows

In Jeffery’s theory, the particle is flowing in an unbounded flow where no wall effect on the particle is considered. Chwang [22] theoretically studied the rotational behavior of ellipsoids in bounded Couette and Poiseuille flows and showed that Jeffery’s results were applicable as long as the particle is far from the walls.

2.1.5. Effect of Buoyancy (Sometimes Called “Particle Inertia”)

Jeffery’s theory [19] is based on a neutrally buoyant condition, where the particle and the fluid have the same density. While increasing the particle-to-fluid density ratio, Ding and Aidun [36] observed that the ellipsoid’s rotational modes are conserved and that only the transition Reynolds numbers between the different modes are increased.

2.1.6. Effect of the Particle’s Aspect Ratio

In the absence of fluid inertia, Equation (1) shows that an increase in the particle’s aspect ratio causes an increase in the rotation period. This phenomenon has been shown to be still valid in the presence of fluid inertia in [40].
Moreover, the variation in the rotational rate is shown to increase when the ellipsoid’s aspect ratio is increased: the maximum angular velocity (when the particle is perpendicular to the flow) becomes higher, and the minimum angular velocity (when the particle is aligned with the flow) becomes lower. This was also reported by Bretherton [20], who observed that an elongated prolate with a high value of λ spends most of its time almost parallel to the streamlines, and it reverses itself periodically.

2.1.7. Effect of the Particle’s Initial Orientation

In the absence of inertia, Jeffery’s theory [19] considered that the particle’s initial orientation has a determinant effect on its trajectory and the choice of the orbit. When the inertial effects start taking place, the conclusions are more controversial. Yu et al. [37] showed theoretically that the trajectories of prolates and oblates flowing in a Couette flow at a given Reynolds number are determined by their initial orientations. However, the results of Huang et al. [38] and Rosén et al. [41] indicate that the rotational mode of an ellipsoid is influenced by its initial orientation only within certain intervals of Re.

2.2. Axisymmetric Non-Ellipsoidal Particle

Due to several challenges in the fabrication of ellipsoids for experimental testing and since the non-spherical particles that flow in real suspensions have more complex shapes, some of the studies were extended from ellipsoids to axisymmetric non-ellipsoidal particles (mainly rods, doublets, and discs). These works helped understand the effect of the shape of the particle on its behavior, especially when the particle has sharp edges and/or is more flattened or elongated than an ellipsoidal particle.

2.2.1. Extension of Jeffery’s Theory to Axisymmetric Non-Ellipsoidal Particles

Bretherton [20] showed that Jeffery’s equations are also valid for almost any axisymmetric particle, provided that an equivalent aspect ratio λe is used. This latter is determined experimentally by measuring the orbital period [20,50]. So, it can be deduced that an axisymmetric non-ellipsoidal neutrally buoyant particle in simple, creeping, and unbounded flows kayaks around the vorticity axis in a closed orbit. The orbit is determined by the particle’s initial orientation, and the rotational period depends on the equivalent aspect ratio.

2.2.2. Effect of Fluid Inertia

As seen previously, in the presence of inertia, a prolate particle gradually turns into the flow-gradient plane in order to tumble, whereas an oblate particle gradually aligns its axis with the vorticity axis in order to log-roll. With increasing Reynolds number, other rotational modes can appear.
In the same way, in the presence of fluid inertia, a rod-like particle (λe > 1) tumbles in the flow-gradient plane, while a disc-like particle (λe < 1) rolls with its axis of revolution perpendicular to this same plane [29,30,51,52]. A Reynolds number Re ~O(10−3) is sufficient to force rods and discs to drift from kayaking to a new rotational behavior [23,24,29].
Ku and Lin [42] obtained similar results for fibers that are rod-like particles with a large aspect ratio. At Re = 0, a fiber in a simple shear flow far from the walls rotates with a constant period that can be accurately calculated using Jeffery’s equations. At weak inertia, the fiber still rotates periodically, but it slowly drifts toward the flow direction. Similar to the case of prolates and rod-like particles, low inertia forces the fiber to tumble in the shearing plane perpendicular to the vorticity.
Above a critical Reynolds number (4 < Rec < 13, varying with the particle’s aspect and confinement ratios), Zettner and Yoda [53] showed experimentally that a cylindrical particle can cease rotating, resting at a nearly horizontal equilibrium orientation. Ku and Lin [42] obtained similar results for fibers, for a particle Reynolds number Rep ≥ 6 (Rep is the Reynolds number based on the length of the particle and the flow average velocity). In addition, they showed that the stable stationary orientation is established with the fiber’s axis tilted by a small angle about the flow direction.

2.2.3. Walls and Confinement Effects

The experimental study of Poe and Acrivos [54] and the numerical simulations of Aidun [43] on the transport of rods in simple shear flows revealed that low confinement ratios (κ < 0.32) have negligible effects on the particle’s behavior. This parameter, also called blockage ratio, is the ratio between the diameter of the particle and the smallest dimension in the channel cross-section. However, κ has a marked effect at higher values [36,53].
Increasing the confinement degree causes an increase in the value of the critical Reynolds number above which a fiber changes its rotational behavior from a periodic tumbling to a steady state, meaning that it delays the transition from time-periodic rotation to stationary state. It also decreases the angle between the fiber stationary equilibrium orientation and the streamwise direction [42]. However, for a highly confined flow, a fiber has a stable stationary orientation through the whole range of Reynolds numbers studied in this paper.

2.2.4. Effect of the Particle’s Aspect Ratio

As explained previously, an increase in the aspect ratio of an ellipsoid increases its period of rotation and can also alter its rotational behavior.
Similar results were obtained in the case of cylinders. Trevelyan and Mason [31], Kittipoomwong et al. [34], and Skjetne et al. [44] showed that when the aspect ratio of a cylinder λ increases at a constant shear rate, the cylinder’s angular velocity decreases and its period of rotation increases (Figure 6). However, the measured period of rotation was less than the one predicted by Jeffery [19] when the actual aspect ratio λ was inserted in Jeffery’s equations. For example, Trevelyan and Mason [31] observed that the period of rotation of a cylindrical particle is equal to two-thirds the period of rotation of a prolate with the same aspect ratio. This deviation is due to the non-spheroidal form and can be taken into consideration by replacing the aspect ratio λ by the equivalent ellipsoidal axis ratio λe [20,29,31,50,59]. For rod-like particles, it was found experimentally and numerically that λe/λ ≈ 0.7 [31,35].
An increase in the particle’s aspect ratio also modifies the rotational mode. It increases the critical Reynolds number above which the particle adopts a steady state, i.e., stops rotating [53]. In addition, the maximum value of the angular velocity (when the particle is perpendicular to the flow) increases, and its minimum value (when the particle is aligned with the flow) decreases.

2.2.5. Effect of the Solid Volume Fraction (Suspension’s Concentration)

Anczurowski et al. [51,52] showed that the drift from Jeffery’s orbits to a tumbling motion occurred faster (i.e., at a smaller Re) by increasing the suspension’s concentration.
Table 2 summarizes the key conclusions regarding the rotational behavior of ellipsoidal and axisymmetric non-ellipsoidal particles in shear flows.

2.3. Asymmetric Particles

On a higher level of complexity, few works investigated the effect of the particle asymmetry on its rotational behavior in a shear flow. Gierszewski and Chaffey [25] ran numerical simulations to study the rotation of a triaxial ellipsoid in a simple shear flow. They showed that if the particle is asymmetric, its motion is qualitatively different from that of an axisymmetric particle, and it has no fixed period of rotation around the fluid’s vorticity axis. In fact, once the symmetry is broken, the period of rotation is altered, and the more the particle is asymmetric, the more the period is modified. As a function of the asymmetry in the particle’s geometry, particles can tumble periodically, quasi-periodically (also called doubly periodic), or in a chaotic way [26]. The behavior can be chaotic in both space and time references.

3. Rotational and Migratory Behaviors of a Particle Flowing in a Square Microchannel

In this section, we present several studies investigating the behavior of a particle in a square microchannel and the effect of parameters related to the particle, the channel, the suspension, and the flow on this behavior.

3.1. Spherical Particles

As seen in the introduction, neutrally buoyant spherical particles flowing at moderate Reynolds numbers in a square microchannel laterally migrate toward four equilibrium positions located at the centers of the channel walls. The lateral migration consists of two main stages: the particle migrates first in the lateral direction through the velocity iso-contours and reaches an equilibrium ring; then, it moves cross-laterally along the chosen ring toward its equilibrium position [12,60,61,62,63]. In the first stage, called the cross-streamline migration, the shear-induced and the wall-induced lift forces drive the particles to a rectangular ring-like region where the effects of both forces are canceled. The rotation-induced lift force dominates in the second stage of migration (called the cross-lateral migration) and drives the particles to their equilibrium positions with a smaller migration velocity.
Depending on the Reynolds numbers, three different migration regimes can be observed. At low Re (Re < 5 in the experimental conditions of [60]), spheres laterally migrate toward the center of the channel. At moderate Re (5 < Re < 200), particles migrate toward the four equilibrium positions described above. At high Reynolds numbers (Re > 450, according to [62]), secondary equilibrium positions appear at the corners of the channel, increasing the total number of equilibrium positions from four to eight. Regardless of the regime, increasing the Reynolds number accelerates the migration process and thus decreases the focusing length. The distance between a face-centered equilibrium position and its nearest wall varies with the Reynolds number. An increase in Re in the moderate range gets the spheres closer to the walls [60]. However, at high values of Re, increasing this number increases the distance between the face-centered equilibrium positions and the walls, and the particles are observed to be closer to the channel centerline [62].
The confinement ratio κ is also shown to have an effect on the sphere’s inertial migration. In the case of neutrally buoyant particles, increasing κ accelerates the migration process and thus decreases the channel length needed to reach the final stage of migration. In addition, bigger spheres (i.e., higher κ) focus at an equilibrium position closer to the channel centerline than smaller particles [60].
The migration toward the equilibrium positions is followed by a particle longitudinal ordering, during which the particles form trains and follow each other in the channel with a constant interparticle spacing (Figure 7a). This phenomenon only occurs after the lateral migration is fully developed. This was observed by Segré and Silberberg [8,9]; then, it was investigated and explained by Matas et al. [64] and Lee et al. [61]. The “reversing streamlines” created around the particle while flowing in the channel were found to be the physical phenomenon underlying this particle alignment (Figure 7b).
In addition to their inertial migration, particles have a rotational behavior in the channel. According to [60], the rotational behavior of a spherical neutrally buoyant particle flowing in a square microchannel at moderate Reynolds numbers depends on the sphere’s lateral migration development. During the migration process, the particle’s angular velocity has three components along the three main axes of the channel: it rotates around both cross-sectional directions due to the presence of two parabolic velocity profiles in a typical square Poiseuille flow, and it rotates also around the flow axis. Once the particle is focused, only the rotation in the cross-sectional direction parallel to its closest wall remains. The particle’s angular velocity increases with increasing Re. Figure 8 shows particles focused on their equilibrium positions in a square cross-section with their rotational axis.

3.2. Non-Spherical Particles

3.2.1. Rotation Behavior and Lateral Migration at Moderate Reynolds Numbers

The main difficulty in the study of non-spherical particles is that their migration is strongly coupled with their orientation and rotational regime [17]. For example, the lift component induced by the particle’s rotation has an obvious influence on the transverse focusing position of the particles, which cannot be neglected [65].
In 2017, Lashgari et al. [16] were the first to study the motion of oblate particles in a microfluidic configuration where not only the equilibrium position but also the entire migration dynamics of the particle from the initial to the final position, including particle trajectory, velocity, rotation, and orientation, were investigated. The results of their numerical simulations reveal phenomena similar to those observed for spherical particles. In particular, an oblate particle experiences at moderate Re a lateral motion toward a face-centered equilibrium position so that four face-centered equilibrium positions are observed as for spheres (Figure 9). Likewise, oblates migrate in a two-stage process: they first migrate laterally toward a square annulus in the vicinity of the walls, and they secondly move cross-laterally in the annulus toward the four-centered equilibrium positions.
More recently, Nizkaya et al. [17] studied inertial focusing of oblate spheroidal particles in channel flow at moderate Reynolds numbers Re = 11–44 using lattice Boltzmann simulations. They found also that all spheroids focus on the four face-centered equilibrium positions.
For cylindrical particles flowing in a square channel as well, Su et al. [45] demonstrated numerically that there are always four stable equilibrium positions for Re varying from 50 to 200. The two-stage process (cross-streamline and cross-lateral migrations) was also shown for these cylindrical particles.
While the particles migrate toward their equilibrium positions, their rotational mode changes. Pan et al. [46] showed that an ellipsoidal particle in a Poiseuille flow has a stable orientational behavior after reaching its equilibrium position: a prolate ellipsoid tumbles and an oblate ellipsoid log-rolls, as they do in a shear flow at moderate Re (see Section 2). According to [16,17], the streamwise motion of an oblate spheroid, from its initial to its final equilibrium position is coupled to a rotation around its axis of revolution (log-rolling) and a tumbling around its equatorial axis creating the already described kayaking mode. As the particle gets closer to the equilibrium position, the tumbling motion vanishes gradually, and the particle just rotates around its axis of revolution (Figure 10). This means that oblates start to migrate with a kayaking motion and slowly move to a log-rolling motion while getting closer to their equilibrium lateral positions. The kayaking motion is responsible for oscillations of the trajectories.
Lashgari et al. [16] found that, on its final equilibrium position, the orientation vector of an oblate particle is parallel to the nearest wall, perpendicular to the flow. This is in agreement with the experimental findings of Di Carlo et al. [13] on the inertial focusing of particles in microchannels. Finally, at the equilibrium position, an oblate particle rotates around its axis of revolution (with zero streamwise and wall-normal rotation rates).
According to [16], the focusing length in square channels is slightly longer for oblate particles compared to spherical particles of the same volume starting from the same initial lateral position. This is mainly attributed to the presence of a tumbling motion during the migration, which reduces the lateral velocity of the oblates. However, this is not the case in rectangular channels where the focusing length is slightly shorter for oblates than for spheres. Tumbling is negligible in that case, and it has been numerically found that the lateral velocity for oblate particles is higher than that of spheres in a rectangular cross-section [16].
Unlike spherical particles [16,60], non-spherical ones oscillate while being transported in a microchannel flow. Hur et al. [55], Masaeli et al. [49], and Su et al. [45] observed that an elongated particle (λ > 1) will keep oscillating regardless of its position in the channel (still migrating or focused on an equilibrium position) (Figure 11). This might be due to the fact that a prolate particle prefers to tumble (see Section 2.1.3) and that, while adopting this type of rotation, the angular velocity, the sweeping area, and the distance from the wall continuously change, leading to periodical variations of the wall-induced lift force and thus a periodic motion of the particle toward and away from the wall [45]. In the same way, Nizkaya et al. [17] showed that an oblate particle oscillates while kayaking, since the kayaking motion is a combination of tumbling and log-rolling but stopped oscillating once it is focused on its equilibrium position.
Despite this oscillatory behavior, the magnitudes of the observed oscillations are very small: around 1.25% of the particle’s length [45]. It can be deduced that similarly to spheres, non-spherical particles have well-defined equilibrium positions.

3.2.2. Influence of the Reynolds Number Re

Similar to spherical particles, Hur et al. [55] experimentally showed that neutrally buoyant discs, rods, and doublets migrate toward the channel center at low Reynolds numbers (Re < 14).
For an oblate particle flowing in a square microchannel at moderate and high Reynolds numbers, Lashgari et al. [16] identified three migration regimes, as seen in Figure 12:
  • For Re < 150, particles log-roll and migrate toward the four face-centered equilibrium positions, with the particles being closer to the wall with increasing Re;
  • For 150 < Re < 200, an oblate particle still focuses close to a face-centered equilibrium position but with its axis not perpendicular to the closest wall. This rotational mode resembles the inclined rolling mode reported in the dynamical system analysis of the motion of an oblate spheroid in a simple shear flow [36,39]. In that range of Re, particles still get closer to the wall when Re increases;
  • For Re > 200, an oblate particle approaches one of the four standard equilibrium positions, but its orientation and rotation are time-dependent and chaotic. The rotational mode seems to be a combination of the tumbling and the log-rolling motions. This behavior of oblates was also observed by Rosén et al. [39], who showed that above a certain particle Reynolds number, the tumbling motion can be found in addition to the already existing log-rolling mode. At Re > 300, the particle focuses closer to the channel center.
Similar results have been obtained for rod-like particles. In a square channel, while increasing the fluid inertia, Su et al. [45] (Re = 50–400) did not observe any modification in the distribution of cylindrical particles in the channel. The non-spherical particles kept their four equilibrium positions at the centers of the channel walls regardless of Re. In addition, no works showed the transition from four to eight equilibrium positions, which was observed for spherical particles (see Section 3.1).
Moreover, Masaeli et al. [49] observed that at a fixed distance from the channel inlet, the percentage of tumbling prolate particles increased from 39% at Re ≈8 to 84% at Re ≈ 20. So, an increase in the Reynolds number increases the probability of finding a prolate particle with a tumbling rotational mode. It might be deduced from this observation that an increase in Re accelerates the transition phase from the kayaking mode to other modes (tumbling for prolates and log-rolling for oblates), lowering by that the channel length needed to reach the equilibrium rotational mode. Note that the Reynolds number has the same effect on the focusing length: when Re increases, the equilibrium positions are reached faster [55].
Finally, it has been observed that the effect of the Reynolds number on the distance between the equilibrium positions of spheres and the closest wall is the same in the case of non-spherical particles. The experimental results in [49] showed that the equilibrium positions of rod-like particles move closer to the channel wall while increasing the Reynolds number up to 200. The numerical simulations of Huang et al. [47] showed also that the focusing positions of oblate particles tend to get closer to the channel centerline while increasing Re above 200 (Figure 13).

3.2.3. Influence of the Confinement Ratio κ

At moderate Reynolds numbers, when spherical particles migrate toward the four face-centered equilibrium positions, it is seen that spheres get closer to the centerline when the confinement degree increases.
An “equivalent diameter” definition is needed to quantify the confinement for particles of different shapes. The definitions of this diameter vary among the different studies. Hur et al. [55] experimentally observed that the particle’s equilibrium position Yeq is determined by its rotational diameter drot (the longest distance between two points on the particle, which corresponds to the particle’s longest axis of symmetry for most of the cases), regardless of its geometrical shape. This was shown to be true for all the tested geometries (spheres, cylinders, discs, symmetric and asymmetric doublets) except for the case of asymmetric disks (h-particles). The observations of [55] were later numerically confirmed by Masaeli et al. [49]. Thus, we chose the rotational diameter as an equivalent diameter. Figure 14 represents the equilibrium distance from the nearest wall, which is normalized by the channel smallest dimension W) as a function of the confinement ratio.
It can be deduced from Figure 14 that the normalized equilibrium position increases with the confinement ratio, which means that non-spherical particles get closer to the channel centerline, as do spheres in the same conditions [63,66].
Moreover, the evolution is quite linear, following the fitting curve obtained by Hur et al. [55]. This linear progression was also observed in the case of spherical particles [67,68]. We have added in Figure 14 two parallel lines bounding a confidence zone in which the deviation from the fitting line is considered acceptable. The lines are located at ±0.043 W from the fitting curve. This value is equal to the half of the radius of the smallest particle of the data presented in Figure 14 (drot-(min)/W = 0.17142). Most of the particles (94%) are within the confidence zone. Solely the results of Li et al. [57] seem to be far from the others, and this deviation could be due to the fact that their work is focused on living microorganisms for which additional parameters such as their deformability can play a role in their displacement in the channel.
Concerning the effect of the confinement degree on the focusing length, Lashgari et al. [16] numerically found that the focusing length of an oblate particle decreases with increasing κ. In other words, large particles focus faster than smaller ones. This is similar to the spherical case where smaller particles need longer channels to reach their focusing positions.
Finally, Lashgari et al. [16] observed that in a square channel and for a high value of confinement (κ = 1/2.43), the migration dynamics of an oblate are completely different. The equilibrium position is along the diagonal symmetry line, between the corner and the center of the channel (Figure 15). In order to explain the peculiar behavior of the large oblate in a square channel, the authors examine the rotation rate of the oblate around the streamwise direction during the migration process. Typically, during the migration stages, the angular velocity increases and then decreases. It increases due to the fast motion of the particle toward the equilibrium wall and then decreases due to the particle’s slow motion toward the equilibrium position under the action of the rotation-induced lift force. The magnitude of this force is reduced when the angular velocity decreases, and the particle eventually focuses at a face-centered equilibrium position. This behavior is not observed for the largest oblates presented here. In this case, the streamwise rotation does not reduce to zero as the particle moves toward the vertical symmetry line, which accelerates the particle motion. This might occur because large oblates are more susceptible to tumbling. As a result of this acceleration, the particle crosses the vertical symmetry line and focuses on the diagonal where the streamwise rotation rate becomes zero and the shear-induced and wall-induced lift forces balance each other. This strange behavior was not observed by Hur et al. [55], who studied the inertial migration in highly confined rectangular channels and confirmed that the particles focus at the centers of the longest channel sides similarly to the cases of low κ values.

3.2.4. Influence of the Particle’s Aspect Ratio λ

Figure 9a,b, reprinted from Nizkaya et al. [17], present respectively the streamwise component (colored curves) and the vorticity component (black curves) of the orientation vector as well as the trajectories of three oblate particles with the same rotational diameter but different aspect ratios (λ1 = 0.5 (solid), λ2 = 0.8 (dashed), and λ3 = 1 (sphere) (dotted)). As seen in Figure 10a, the streamwise component of the orientation vector experiences decaying oscillations, while the vorticity component converges to unity. This confirms that oblates start with a kayaking motion (responsible for oscillations) and slowly converge to a log-rolling motion with the revolution and rotational axes aligned with the vorticity direction. As seen in Figure 10b, the equilibrium positions for the three oblates are very close, indicating that the equilibrium positions and the log-rolling motions are controlled by the particle’s rotational diameter with a weak dependence on the aspect ratio. This result is in full agreement with the experimental findings of [49,55].
Concerning the rotational behavior, it can be observed that the oscillations vary with the value of λ, showing that the particle’s aspect ratio influences the kayaking motion. For example, the oscillations of the less-oblate spheroid (λ = 0.8) decay much slower than those for λ = 0.5 (more oblate). Moreover, it can be noted that in the case studied by Nizkaya et al. [17], the particles reach their equilibrium position (Figure 10b) before the stabilization of their rotational mode (Figure 10a). This phenomenon is more pronounced when the particle aspect ratio λ is closer to 1 (spherical case).
Equation (1), proposed by Jeffery for the calculation of the period of rotation, indicates that an increase in the aspect ratio of the ellipsoid increases its period of rotation T. This was shown to be true by Masaeli et al. [49], who studied the behavior of elongated particles (λ = 3 and 5) in a rectangular Poiseuille flow. However, this result was not obtained by Hur et al. [55], who claimed that T is independent of λ and that it increases with the confinement ratio κ (Figure 16). However, the study presented in [55] was performed on a small range of λ (2 < λ < 4). In our opinion, the work should be done on a larger interval in order to validate the obtained results.

3.2.5. Effect of Other Parameters

Other parameters, such as the particle asymmetry and its initial position and orientation, have been shown to have an influence on the rotational behavior, but the relative literature summarized hereafter is still poor regarding confined flow.
Effect of asymmetry in the particle’s geometry: In the case of a shear flow (cf. Section 2.3), asymmetry in the particle’s geometry generates chaos in its rotational behavior [25,26]. This was confirmed by Einarsson et al. in a Poiseuille flow [48,56]. However, the findings of Hur et al. [55] in a rectangular channel show that h-shaped particles log-roll similar to axisymmetric discs, and no chaotic behavior is observed.
Effect of the particle’s initial conditions: As shown earlier, in a shear flow, when inertia is present, the effect of the particle’s initial conditions is still unclear. In a Poiseuille flow, with a Reynolds number varying between 11 and 44, Nizkaya et al. [17] numerically found that oblates choose to log-roll regardless of their initial position and orientation.

3.2.6. Applications

Works conducted during the last two decades on inertial focusing have shown that this technique has a great potential in terms of practical applications. The most developed application of inertial focusing of non-spherical particles is separation.
Particles of different shapes (hence different λ) but the same volume have different rotational diameters, which thus modifies the corresponding confinement ratio. As seen in Section 3.2.3, an alteration in κ induces a change in the particle equilibrium position. Some works took advantage of this effect to perform a so-called “shape-based” separation of biological particles. Mach and Di Carlo [58] designed an inertial microfluidic device to separate pathogenic bacteria cells from diluted blood. After two passes of the single channel system, the device removed 80% of the pathogenic bacteria and enriched red blood cells concentration four times. Two similar works were done using more sophisticated separator designs, permitting the separation of yeast cells [49] and E. gracilis [57] of different aspect ratios, with high levels of purity (more than 90%).
Although the separation in these works is presented as a “shape-based” separation, it is still not clear if the difference in the equilibrium positions is due to a change in the aspect ratio λ or in the confinement degree κ. Thus, complementary experiments should be performed on particles with identical κ but different aspect ratios λ to verify if they have the same Yeq or not. In the case where the equilibrium positions of particles of different shapes are identical, kinetic separation based on the migration velocity could be considered, exploiting for example the observations from Nizkaya et al. [17] regarding the relation between the transitory rotational mode of the particles and their aspect ratio.

4. Conclusions

This review aimed to summarize and compare recent works in the literature dealing with the transport of non-spherical particles in straight square microchannels. For this purpose, a preliminary analysis of the main studies on non-spherical particles in unconfined shear flows has been conducted to identify the main parameters influencing their rotational behavior.
These different works have highlighted that in a Poiseuille flow, a particle simultaneously rotates and translates. At moderate Reynolds numbers (0 < Re < 150–200 depending on the configuration), near the channel entrance, the particle undergoes a transition phase. During this transition phase, it laterally migrates toward one of the equilibrium positions located near the channel walls, and its rotational mode gradually shifts from kayaking to tumbling if its aspect ratio is above 1 (prolate spheroids, rods, fibers…) or to log-rolling if its aspect ratio is below 1 (oblate spheroids, discs…). At the end of the transition period, the particle that is focused on its equilibrium position translates solely in the streamwise direction and tumbles or log-rolls with its axis of rotation parallel to the closest wall. The channel length needed for a particle to reach its equilibrium position can be different, depending on the particle aspect ratio, from that needed to reach its equilibrium rotational mode. The particles symmetry, aspect ratio, volume fraction, confinement ratio, and Reynolds number play a major role in both the rotational behavior and the translational migration of the particles. At higher Reynolds numbers, other rotational modes (steady state, inclined rolling…) and focusing positions can appear, but the different existing studies do not converge on these points.
Although several numerical works have studied both the rotational and translational motions of non-spherical particles flowing in square channels, there is a real lack of experimental investigations in that field. To our knowledge, solely Hur et al. [55] have published experimental data on this problem. De facto, the experimental analysis of the particles’ behavior is much more complicated for non-spherical particles than for spherical ones, since a three-dimensional approach is needed to observe simultaneously the particles’ position and orientation. The recent advances in image-based 3D reconstruction techniques could be advantageously exploited here to bring new experimental insights on this subject.
All the results presented in this work are essential to better understand the particles’ transport in a Poiseuille flow and demonstrate that shape-based separation is possible. However, for that purpose, three important aspects still need to be clarified and should be the object of the coming works in that field:
  • The particles’ behavior (rotational and translational) at high Reynolds numbers (over 200), which is still a subject of discussion in the literature;
  • The role of the interaction between non-spherical particles on their lateral migration and longitudinal ordering, which has not been studied yet to the best of our knowledge, although it has been proven to be essential in the case of spherical particles;
  • The coupling between the lateral migration and the rotation of the particle during the transitional phase, which is not yet completely understood.
Overcoming these three remaining points is essential to develop shape-based separation devices that could be integrated into Lab-on-Chip platforms.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Gossett, D.R.; Weaver, W.M.; Mach, A.J.; Hur, S.C.; Tse, H.T.K.; Lee, W.; Amini, H.; Di Carlo, D. Label-Free Cell Separation and Sorting in Microfluidic Systems. Anal. Bioanal. Chem. 2010, 397, 3249–3267. [Google Scholar] [CrossRef] [Green Version]
  2. Takagi, J.; Yamada, M.; Yasuda, M.; Seki, M. Continuous Particle Separation in a Microchannel Having Asymmetrically Arranged Multiple Branches. Lab Chip 2005, 5, 778. [Google Scholar] [CrossRef] [PubMed]
  3. Zhu, J.; Tzeng, T.-R.J.; Xuan, X. Continuous Dielectrophoretic Separation of Particles in a Spiral Microchannel. Electrophoresis 2010, 31, 1382–1388. [Google Scholar] [CrossRef] [PubMed]
  4. Inglis, D.W.; Riehn, R.; Austin, R.H.; Sturm, J.C. Continuous Microfluidic Immunomagnetic Cell Separation. Appl. Phys. Lett. 2004, 85, 5093–5095. [Google Scholar] [CrossRef] [Green Version]
  5. MacDonald, M.P.; Spalding, G.C.; Dholakia, K. Microfluidic Sorting in an Optical Lattice. Nature 2003, 426, 421–424. [Google Scholar] [CrossRef] [PubMed]
  6. Laurell, T.; Petersson, F.; Nilsson, A. Chip Integrated Strategies for Acoustic Separation and Manipulation of Cells and Particles. Chem. Soc. Rev. 2007, 36, 492–506. [Google Scholar] [CrossRef] [PubMed]
  7. Poiseuille, J. Observations of Blood Flow. Ann. Sci. Nat. STrie 1836, 5, 111–115. [Google Scholar]
  8. Segré, G.; Silberberg, A. Behaviour of Macroscopic Rigid Spheres in Poiseuille Flow Part 1. Determination of Local Concentration by Statistical Analysis of Particle Passages through Crossed Light Beams. J. Fluid Mech. 1962, 14, 115–135. [Google Scholar] [CrossRef]
  9. Segré, G.; Silberberg, A. Behaviour of Macroscopic Rigid Spheres in Poiseuille Flow Part 2. Experimental Results and Interpretation. J. Fluid Mech. 1962, 14, 136–157. [Google Scholar] [CrossRef]
  10. Di Carlo, D. Inertial Microfluidics. Lab Chip 2009, 9, 3038. [Google Scholar] [CrossRef]
  11. Amini, H.; Lee, W.; Di Carlo, D. Inertial Microfluidic Physics. Lab Chip 2014, 14, 2739. [Google Scholar] [CrossRef] [PubMed]
  12. Matas, Jp.; Morris, Jf.; Guazzelli, E. Lateral Forces on a Sphere. Oil Gas Sci. Technol. 2004, 59, 59–70. [Google Scholar] [CrossRef]
  13. Di Carlo, D.; Irimia, D.; Tompkins, R.G.; Toner, M. Continuous Inertial Focusing, Ordering, and Separation of Particles in Microchannels. Proc. Natl. Acad. Sci. USA 2007, 104, 18892–18897. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Bhagat, A.A.S.; Kuntaegowdanahalli, S.S.; Papautsky, I. Inertial Microfluidics for Continuous Particle Filtration and Extraction. Microfluid. Nanofluidics 2009, 7, 217–226. [Google Scholar] [CrossRef]
  15. Broday, D.; Fichman, M.; Shapiro, M.; Gutfinger, C. Motion of Spheroidal Particles in Vertical Shear Flows. Phys. Fluids 1998, 10, 86–100. [Google Scholar] [CrossRef]
  16. Lashgari, I.; Ardekani, M.N.; Banerjee, I.; Russom, A.; Brandt, L. Inertial Migration of Spherical and Oblate Particles in Straight Ducts. J. Fluid Mech. 2017, 819, 540–561. [Google Scholar] [CrossRef] [Green Version]
  17. Nizkaya, T.V.; Gekova, A.S.; Harting, J.; Asmolov, E.S.; Vinogradova, O.I. Inertial Migration of Oblate Spheroids in a Plane Channel. Phys. Fluids 2020, 32, 112017. [Google Scholar] [CrossRef]
  18. Hur, S.C.; Henderson-MacLennan, N.K.; McCabe, E.R.B.; Di Carlo, D. Deformability-Based Cell Classification and Enrichment Using Inertial Microfluidics. Lab Chip 2011, 11, 912. [Google Scholar] [CrossRef]
  19. Jeffery, G.B. The Motion of Ellipsoidal Particles Immersed in a Viscous Fluid. Proc. R. Soc. Lond. A. 1922, 102, 161–179. [Google Scholar] [CrossRef] [Green Version]
  20. Bretherton, F.P. The Motion of Rigid Particles in a Shear Flow at Low Reynolds Number. J. Fluid Mech. 1962, 14, 284–304. [Google Scholar] [CrossRef]
  21. Leal, L.G. Particle Motions in a Viscous Fluid. Annu. Rev. Fluid Mech. 1980, 12, 435–476. [Google Scholar] [CrossRef]
  22. Chwang, A.T. Hydromechanics of Low-Reynolds-Number Flow. Part 3. Motion of a Spheroidal Particle in Quadratic Flows. J. Fluid Mech. 1975, 72, 17–34. [Google Scholar] [CrossRef]
  23. Subramanian, G.; Koch, D.L. Inertial Effects on Fibre Motion in Simple Shear Flow. J. Fluid Mech. 2005, 535, 383–414. [Google Scholar] [CrossRef]
  24. Candelier, F.; Einarsson, J.; Lundell, F.; Mehlig, B.; Angilella, J.-R. Role of Inertia for the Rotation of a Nearly Spherical Particle in a General Linear Flow. Phys. Rev. E 2015, 91, 053023. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Gierszewski, P.J.; Chaffey, C.E. Rotation of an Isolated Triaxial Ellipsoid Suspended in Slow Viscous Flow. Can. J. Phys. 1978, 56, 6–11. [Google Scholar] [CrossRef]
  26. Hinch, E.J.; Leal, L.G. Rotation of Small Non-Axisymmetric Particles in a Simple Shear Flow. J. Fluid Mech. 1979, 92, 591–607. [Google Scholar] [CrossRef] [Green Version]
  27. Saffman, P.G. On the Motion of Small Spheroidal Particles in a Viscous Liquid. J. Fluid Mech. 1956, 1, 540–553. [Google Scholar] [CrossRef] [Green Version]
  28. Harper, E.Y.; Chang, I.-D. Maximum Dissipation Resulting from Lift in a Slow Viscous Shear Flow. J. Fluid Mech. 1968, 33, 209. [Google Scholar] [CrossRef]
  29. Karnis, A.; Goldsmith, H.L.; Mason, S.G. The Flow of Suspensions through Tubes: V. Inertial Effects. Can. J. Chem. Eng. 1966, 44, 181–193. [Google Scholar] [CrossRef]
  30. Mason, S.G.; Manley, R.S.J. Particle Motions in Sheared Suspensions: Orientations and Interactions of Rigid Rods. Proc. R. Soc. Lond. A. 1956, 238, 117–131. [Google Scholar] [CrossRef]
  31. Trevelyan, B.J.; Mason, S.G. Particle Motions in Sheared Suspensions. I. Rotations. J. Colloid Sci. 1951, 6, 354–367. [Google Scholar] [CrossRef]
  32. Qi, D.; Luo, L. Transitions in Rotations of a Nonspherical Particle in a Three-Dimensional Moderate Reynolds Number Couette Flow. Phys. Fluids 2002, 14, 4440–4443. [Google Scholar] [CrossRef] [Green Version]
  33. Qi, D.; Luo, L.-S. Rotational and Orientational Behaviour of Three-Dimensional Spheroidal Particles in Couette Flows. J. Fluid Mech. 2003, 477. [Google Scholar] [CrossRef] [Green Version]
  34. Kittipoomwong, P.; See, H.; Mai-Duy, N. Dynamic Simulation of Non-Spherical Particulate Suspensions. Rheol. Acta 2010, 49, 597–606. [Google Scholar] [CrossRef] [Green Version]
  35. Joung, C.G. Dynamic Simulation of Arbitrarily Shaped Particles in Shear Flow. Rheol. Acta 2006, 46, 143–152. [Google Scholar] [CrossRef]
  36. Ding, E.-J.; Aidun, C.K. The Dynamics and Scaling Law for Particles Suspended in Shear Flow with Inertia. J. Fluid Mech. 2000, 423, 317–344. [Google Scholar] [CrossRef]
  37. Yu, Z.; Phan-Thien, N.; Tanner, R.I. Rotation of a Spheroid in a Couette Flow at Moderate Reynolds Numbers. Phys. Rev. E 2007, 76, 026310. [Google Scholar] [CrossRef]
  38. Huang, H.; Yang, X.; Krafczyk, M.; Lu, X.-Y. Rotation of Spheroidal Particles in Couette Flows. J. Fluid Mech. 2012, 692, 369–394. [Google Scholar] [CrossRef]
  39. Rosén, T.; Do-Quang, M.; Aidun, C.K.; Lundell, F. Effect of Fluid and Particle Inertia on the Rotation of an Oblate Spheroidal Particle Suspended in Linear Shear Flow. Phys. Rev. E 2015, 91, 053017. [Google Scholar] [CrossRef]
  40. Lundell, F.; Carlsson, A. Heavy Ellipsoids in Creeping Shear Flow: Transitions of the Particle Rotation Rate and Orbit Shape. Phys. Rev. E 2010, 81, 016323. [Google Scholar] [CrossRef] [PubMed]
  41. Rosén, T.; Do-Quang, M.; Aidun, C.K.; Lundell, F. The Dynamical States of a Prolate Spheroidal Particle Suspended in Shear Flow as a Consequence of Particle and Fluid Inertia. J. Fluid Mech. 2015, 771, 115–158. [Google Scholar] [CrossRef]
  42. Ku, X.K.; Lin, J.Z. Inertial Effects on the Rotational Motion of a Fibre in Simple Shear Flow between Two Bounding Walls. Phys. Scr. 2009, 80, 025801. [Google Scholar] [CrossRef]
  43. Aidun, C.K.; Lu, Y.; Ding, E.-J. Direct Analysis of Particulate Suspensions with Inertia Using the Discrete Boltzmann Equation. J. Fluid Mech. 1998, 373, 287–311. [Google Scholar] [CrossRef]
  44. Skjetne, P.; Ross, R.F.; Klingenberg, D.J. Simulation of Single Fiber Dynamics. J. Chem. Phys. 1997, 107, 2108–2121. [Google Scholar] [CrossRef]
  45. Su, J.; Chen, X.; Hu, G. Inertial Migrations of Cylindrical Particles in Rectangular Microchannels: Variations of Equilibrium Positions and Equivalent Diameters. Phys. Fluids 2018, 30, 032007. [Google Scholar] [CrossRef] [Green Version]
  46. Pan, T.-W.; Chang, C.-C.; Glowinski, R. On the Motion of a Neutrally Buoyant Ellipsoid in a Three-Dimensional Poiseuille Flow. Comput. Methods Appl. Mech. Eng. 2008, 197, 2198–2209. [Google Scholar] [CrossRef]
  47. Huang, Y.; Marson, R.L.; Larson, R.G. Inertial Migration of Neutrally Buoyant Prolate and Oblate Spheroids in Plane Poiseuille Flow Using Dissipative Particle Dynamics Simulations. Comput. Mater. Sci. 2019, 162, 178–185. [Google Scholar] [CrossRef]
  48. Einarsson, J.; Mihiretie, B.M.; Laas, A.; Ankardal, S.; Angilella, J.R.; Hanstorp, D.; Mehlig, B. Tumbling of Asymmetric Microrods in a Microchannel Flow. Phys. Fluids 2016, 28, 013302. [Google Scholar] [CrossRef] [Green Version]
  49. Masaeli, M.; Sollier, E.; Amini, H.; Mao, W.; Camacho, K.; Doshi, N.; Mitragotri, S.; Alexeev, A.; Di Carlo, D. Continuous Inertial Focusing and Separation of Particles by Shape. Phys. Rev. X 2012, 2, 031017. [Google Scholar] [CrossRef] [Green Version]
  50. Goldsmith, H.L.; Mason, S.G. Particle Motions in Sheared Suspensions XIII. The Spin and Rotation of Disks. J. Fluid Mech. 1962, 12, 88–96. [Google Scholar] [CrossRef]
  51. Anczurowski, E.; Mason, S.G. The Kinetics of Flowing Dispersions: III. Equilibrium orientations of rods and discs (experimental). J. Colloid Interface Sci. 1967, 23, 533–546. [Google Scholar] [CrossRef]
  52. Anczurowski, E.; Cox, R.G.; Mason, S.G. The Kinetics of Flowing Dispersions: IV. Transient orientations of cylinders. J. Colloid Interface Sci. 1967, 23, 547–562. [Google Scholar] [CrossRef]
  53. Zettner, C.M.; Yoda, M. Moderate-Aspect-Ratio Elliptical Cylinders in Simple Shear with Inertia. J. Fluid Mech. 2001, 442, 241–266. [Google Scholar] [CrossRef]
  54. Poe, G.G.; Acrivos, A. Closed-Streamline Flows Past Rotating Single Cylinders and Spheres: Inertia Effects. J. Fluid Mech. 1975, 72, 605–623. [Google Scholar] [CrossRef]
  55. Hur, S.C.; Choi, S.-E.; Kwon, S.; Carlo, D.D. Inertial Focusing of Non-Spherical Microparticles. Appl. Phys. Lett. 2011, 99, 044101. [Google Scholar] [CrossRef] [Green Version]
  56. Einarsson, J.; Johansson, A.; Mahato, S.K.; Mishra, Y.N.; Angilella, J.R.; Hanstorp, D.; Mehlig, B. Periodic and Aperiodic Tumbling of Microrods Advected in a Microchannel Flow. Acta Mech. 2013, 224, 2281–2289. [Google Scholar] [CrossRef] [Green Version]
  57. Li, M.; Muñoz, H.E.; Goda, K.; Di Carlo, D. Shape-Based Separation of Microalga Euglena Gracilis Using Inertial Microfluidics. Sci. Rep. 2017, 7, 10802. [Google Scholar] [CrossRef] [Green Version]
  58. Mach, A.J.; Di Carlo, D. Continuous Scalable Blood Filtration Device Using Inertial Microfluidics. Biotechnol. Bioeng. 2010, 107, 302–311. [Google Scholar] [CrossRef]
  59. Goldsmith, H.L.; Mason, S.G. The Microrheology of Dispersions. In Rheology; Academic Press: Cambridge, MA, USA, 1967; pp. 85–250. ISBN 978-1-4832-2941-6. [Google Scholar]
  60. Abbas, M.; Magaud, P.; Gao, Y.; Geoffroy, S. Migration of Finite Sized Particles in a Laminar Square Channel Flow from Low to High Reynolds Numbers. Phys. Fluids 2014, 26, 123301. [Google Scholar] [CrossRef] [Green Version]
  61. Lee, W.; Amini, H.; Stone, H.A.; Di Carlo, D. Dynamic Self-Assembly and Control of Microfluidic Particle Crystals. Proc. Natl. Acad. Sci. USA 2010, 107, 22413–22418. [Google Scholar] [CrossRef] [Green Version]
  62. Shichi, H.; Yamashita, H.; Seki, J.; Itano, T.; Sugihara-Seki, M. Inertial Migration Regimes of Spherical Particles Suspended in Square Tube Flows. Phys. Rev. Fluids 2017, 2, 044201. [Google Scholar] [CrossRef]
  63. Gao, Y. Inertial Migration of Particles in Microchannel Flows. Ph.D. Thesis, Université de Toulouse, Toulouse, France, 2017. [Google Scholar]
  64. Matas, J.-P.; Glezer, V.; Guazzelli, É.; Morris, J.F. Trains of Particles in Finite-Reynolds-Number Pipe Flow. Phys. Fluids 2004, 16, 4192–4195. [Google Scholar] [CrossRef] [Green Version]
  65. Wang, Q.; Yuan, D.; Li, W. Analysis of Hydrodynamic Mechanism on Particles Focusing in Micro-Channel Flows. Micromachines 2017, 8, 197. [Google Scholar] [CrossRef] [Green Version]
  66. Choi, Y.-S.; Seo, K.-W.; Lee, S.-J. Lateral and Cross-Lateral Focusing of Spherical Particles in a Square Microchannel. Lab Chip 2011, 11, 460–465. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Asmolov, E.S.; Dubov, A.L.; Nizkaya, T.V.; Harting, J.; Vinogradova, O.I. Inertial Focusing of Finite-Size Particles in Microchannels. J. Fluid Mech. 2018, 840, 613–630. [Google Scholar] [CrossRef] [Green Version]
  68. Yuan, C.; Pan, Z.; Wu, H. Inertial Migration of Single Particle in a Square Microchannel over Wide Ranges of Re and Particle Sizes. Microfluid. Nanofluidics 2018, 22, 102. [Google Scholar] [CrossRef]
Micromachines 12 00277 g001 550
Figure 1. Equilibrium positions at a moderate Reynolds number (in the range 10–250) in a (a) circular cross-section (annulus); (b) square cross-section (the centers of the four faces); (c) rectangular cross-section (the centers of the long faces). Figures (a) and (b) are republished with permission of Royal Society of Chemistry, from [10]; permission conveyed through Copyright Clearance Center, Inc. The figure (c) is republished with permission of Royal Society of Chemistry, from [11]; permission conveyed through Copyright Clearance Center, Inc.
Figure 1. Equilibrium positions at a moderate Reynolds number (in the range 10–250) in a (a) circular cross-section (annulus); (b) square cross-section (the centers of the four faces); (c) rectangular cross-section (the centers of the long faces). Figures (a) and (b) are republished with permission of Royal Society of Chemistry, from [10]; permission conveyed through Copyright Clearance Center, Inc. The figure (c) is republished with permission of Royal Society of Chemistry, from [11]; permission conveyed through Copyright Clearance Center, Inc.
Micromachines 12 00277 g001
Micromachines 12 00277 g002 550
Figure 2. Illustration of the wall-induced lift force Fw, the shear-induced lift force Fs, and the rotation-induced lift force FΩ.
Figure 2. Illustration of the wall-induced lift force Fw, the shear-induced lift force Fs, and the rotation-induced lift force FΩ.
Micromachines 12 00277 g002
Micromachines 12 00277 g003 550
Figure 3. Non-spherical geometries: (a) prolate (ellipsoid); (b) oblate (ellipsoid); (c) cylinder (non-ellipsoidal axisymmetric); (d) disc (non-ellipsoidal axisymmetric); (e) axisymmetric doublet; (f) h-particle (asymmetric); ((e,f) are reprinted from [55], with the permission of AIP Publishing).
Figure 3. Non-spherical geometries: (a) prolate (ellipsoid); (b) oblate (ellipsoid); (c) cylinder (non-ellipsoidal axisymmetric); (d) disc (non-ellipsoidal axisymmetric); (e) axisymmetric doublet; (f) h-particle (asymmetric); ((e,f) are reprinted from [55], with the permission of AIP Publishing).
Micromachines 12 00277 g003
Micromachines 12 00277 g004 550
Figure 4. Schematics of Jeffery’s orbits: (a) the log-rolling motion (blue), the tumbling motion (green), and the kayaking motion (brown); (b1–b3): kayaking at three different moments for a cylindrical particle; (c1–c3): tumbling at three different moments for a cylindrical particle and (d1–d3): log-rolling at three different moments for a cylindrical particle.
Figure 4. Schematics of Jeffery’s orbits: (a) the log-rolling motion (blue), the tumbling motion (green), and the kayaking motion (brown); (b1–b3): kayaking at three different moments for a cylindrical particle; (c1–c3): tumbling at three different moments for a cylindrical particle and (d1–d3): log-rolling at three different moments for a cylindrical particle.
Micromachines 12 00277 g004
Micromachines 12 00277 g005 550
Figure 5. (a1) A tumbling prolate; (a2) a prolate with its axis of revolution in green; (b1) a log-rolling oblate; (b2) an oblate with its axis of revolution in blue. Figures (a1) and (b1) are adapted from [39].
Figure 5. (a1) A tumbling prolate; (a2) a prolate with its axis of revolution in green; (b1) a log-rolling oblate; (b2) an oblate with its axis of revolution in blue. Figures (a1) and (b1) are adapted from [39].
Micromachines 12 00277 g005
Micromachines 12 00277 g006 550
Figure 6. Normalized period of rotation as a function of the aspect ratio of a cylindrical rod (reprinted from [34] by permission from Springer Nature Customer Service Centre GmbH).
Figure 6. Normalized period of rotation as a function of the aspect ratio of a cylindrical rod (reprinted from [34] by permission from Springer Nature Customer Service Centre GmbH).
Micromachines 12 00277 g006
Micromachines 12 00277 g007 550
Figure 7. (a) A captured image representing the longitudinal ordering of spherical particles in a square channel at Re = 210 (reprinted from [63]; (b) Simulated streamlines around an isolated sphere at Re = 48 putting into evidence the reversing streamlines created at both sides of the particle (reprinted from [61]).
Figure 7. (a) A captured image representing the longitudinal ordering of spherical particles in a square channel at Re = 210 (reprinted from [63]; (b) Simulated streamlines around an isolated sphere at Re = 48 putting into evidence the reversing streamlines created at both sides of the particle (reprinted from [61]).
Micromachines 12 00277 g007
Micromachines 12 00277 g008 550
Figure 8. A schematic representing a square microchannel in which particles are focused on their equilibrium positions and are rotating around their rotational axis (dashed black lines).
Figure 8. A schematic representing a square microchannel in which particles are focused on their equilibrium positions and are rotating around their rotational axis (dashed black lines).
Micromachines 12 00277 g008
Micromachines 12 00277 g009 550
Figure 9. Stages of inertial lateral migration of: (a) a sphere. The solid circles are the initial positions of each trajectory. The thick black lines are the projection of particle trajectories for Re = 120. The dark, mid, and light gray dashed lines (red, blue, and green) are the respective trajectories for Re = 12, 60, and 120 launched from the same initial position (reprinted from [60], with the permission of AIP Publishing); (b) an oblate at Re = 100. The open circles and triangles show the initial position and final equilibria, respectively. The initial and final orientations of the oblate are shown for a particular case with the light blue solid line (reproduced from [16] with permission).
Figure 9. Stages of inertial lateral migration of: (a) a sphere. The solid circles are the initial positions of each trajectory. The thick black lines are the projection of particle trajectories for Re = 120. The dark, mid, and light gray dashed lines (red, blue, and green) are the respective trajectories for Re = 12, 60, and 120 launched from the same initial position (reprinted from [60], with the permission of AIP Publishing); (b) an oblate at Re = 100. The open circles and triangles show the initial position and final equilibria, respectively. The initial and final orientations of the oblate are shown for a particular case with the light blue solid line (reproduced from [16] with permission).
Micromachines 12 00277 g009
Micromachines 12 00277 g010 550
Figure 10. (a) x-components (colored curves) and y-components (black curves) of the orientation vector of an oblate and (b) trajectories for spheroids with κ = 0.15 and λ = 0.5 (solid), 0.8 (dashed), and 1 (dotted) (reprinted from [17], with the permission of AIP Publishing).
Figure 10. (a) x-components (colored curves) and y-components (black curves) of the orientation vector of an oblate and (b) trajectories for spheroids with κ = 0.15 and λ = 0.5 (solid), 0.8 (dashed), and 1 (dotted) (reprinted from [17], with the permission of AIP Publishing).
Micromachines 12 00277 g010
Micromachines 12 00277 g011 550
Figure 11. The oscillations of the center of mass of a doublet around its equilibrium position Yeq. This latter is determined by averaging the values of the positions of the particle’s center. Blue circles in (a) indicate the data points retrieved from the high-speed microscopic images (b,c) taken at the corresponding times (reprinted from [55], with the permission of AIP Publishing).
Figure 11. The oscillations of the center of mass of a doublet around its equilibrium position Yeq. This latter is determined by averaging the values of the positions of the particle’s center. Blue circles in (a) indicate the data points retrieved from the high-speed microscopic images (b,c) taken at the corresponding times (reprinted from [55], with the permission of AIP Publishing).
Micromachines 12 00277 g011
Micromachines 12 00277 g012 550
Figure 12. (a) Lateral trajectories of a rigid oblate particle in a square channel at different Reynolds numbers. Open circles and triangles show the initial and final equilibrium positions, respectively. The final orientation of the oblate spheroid is shown with solid and dashed (for unstable cases) lines. (b) Zoom on a particle trajectory at Re = 200. (c) The x-component of the orientation vector, nx, as a function of time for the different Reynolds numbers under investigations (same color coding as in panel a) (reproduced from [16] with permission).
Figure 12. (a) Lateral trajectories of a rigid oblate particle in a square channel at different Reynolds numbers. Open circles and triangles show the initial and final equilibrium positions, respectively. The final orientation of the oblate spheroid is shown with solid and dashed (for unstable cases) lines. (b) Zoom on a particle trajectory at Re = 200. (c) The x-component of the orientation vector, nx, as a function of time for the different Reynolds numbers under investigations (same color coding as in panel a) (reproduced from [16] with permission).
Micromachines 12 00277 g012
Micromachines 12 00277 g013 550
Figure 13. The results of Huang et al. [47] represented as the evolution of the normalized equilibrium position of an ellipsoidal particle (prolate and oblate) as a function of the Reynolds number. H is the channel’s height.
Figure 13. The results of Huang et al. [47] represented as the evolution of the normalized equilibrium position of an ellipsoidal particle (prolate and oblate) as a function of the Reynolds number. H is the channel’s height.
Micromachines 12 00277 g013
Micromachines 12 00277 g014 550
Figure 14. The evolution of the normalized equilibrium position Yeq/W as a function of the confinement ratio κ (the normalized rotational diameter drot/W). The results are obtained by Lashgari et al., 2017 [16] (blue) [Oblate at Re = 100 with ARc = 0.5 (channel aspect ratio) (filled square)], Hur et al., 2011 [55] (green) [Sphere at Re = 200 with 0.6 < ARc < 0.66 (filled square), Disc at Re = 200 with 0.6 < ARc < 0.66 (filled triangle), Cylinder at Re = 200 with 0.6 < ARc < 0.66 (filled rhombus), Doublet at Re = 200 with 0.6 < ARc < 0.66 (filled circle), Asymmetric disc at Re = 200 with 0.6 < ARc < 0.66 (asterisk)], Li et al., 2017 [57] (yellow) [E. gracilis at Re = 205 with ARc = 0.55 (filled square), E. gracilis at Re = 128 with ARc = 0.55 (filled circle), E. gracilis at Re = 77 with ARc = 0.55 (filled triangle), E. gracilis at Re = 205 with ARc = 0.45 (dashed square), E. gracilis at Re = 128 with ARc = 0.45 (dashed circle), E. gracilis at Re = 77 with ARc = 0.45 (dashed triangle)] and Masaeli et al., 2012 [49] (purple) (Sphere/Rod at Re = 13.09 with ARc = 0.74 (filled triangle), Sphere/Rod at Re = 19.64 with ARc = 0.74 (filled square), Sphere/Rod at Re = 26.18 with ARc = 0.74 (filled rhombus), Sphere/Rod at Re = 32.73 with ARc = 0.74 (filled circle), Sphere/Rod at Re = 39.27 with ARc = 0.74 (dotted triangle), Sphere/Rod at Re = 45.82 with ARc = 0.74 (filled rectangle), Sphere/Rod at Re = 52.36 with ARc = 0.74 (dotted square), Sphere/Rod at Re = 58.91 with ARc = 0.74 (dotted rhombus), Sphere/Rod at Re = 65.45 with ARc = 0.74 (dotted rectangle), Sphere/Rod at Re = 72 with ARc = 0.74 (dotted circle), Sphere/Rod at Re = 14 with ARc = 0.64 (empty triangle), Sphere/Rod at Re = 21 with ARc = 0.64 (empty square), Sphere/Rod at Re = 28 with ARc = 0.64 (empty rhombus), Sphere/Rod at Re = 35 with ARc = 0.64 (empty circle), Sphere/Rod at Re = 42 with ARc = 0.64 (X), Sphere/Rod at Re = 49 with ARc = 0.64 (asterisk), Sphere/Rod at Re = 14.8 with ARc = 0.53 (dashed triangle), Sphere/Rod at Re = 22.2 with ARc = 0.53 (dashed rectangle), Sphere/Rod at Re = 29.6 with ARc = 0.53 (dashed rhombus), Sphere/Rod at Re = 37 with ARc = 0.53 (dashed circle)). The black line corresponds to the fitting curve obtained by the experiments of [55], and the two dashed black lines bound the range of acceptable deviation also called the confidence zone (half of the radius of the smallest particle).
Figure 14. The evolution of the normalized equilibrium position Yeq/W as a function of the confinement ratio κ (the normalized rotational diameter drot/W). The results are obtained by Lashgari et al., 2017 [16] (blue) [Oblate at Re = 100 with ARc = 0.5 (channel aspect ratio) (filled square)], Hur et al., 2011 [55] (green) [Sphere at Re = 200 with 0.6 < ARc < 0.66 (filled square), Disc at Re = 200 with 0.6 < ARc < 0.66 (filled triangle), Cylinder at Re = 200 with 0.6 < ARc < 0.66 (filled rhombus), Doublet at Re = 200 with 0.6 < ARc < 0.66 (filled circle), Asymmetric disc at Re = 200 with 0.6 < ARc < 0.66 (asterisk)], Li et al., 2017 [57] (yellow) [E. gracilis at Re = 205 with ARc = 0.55 (filled square), E. gracilis at Re = 128 with ARc = 0.55 (filled circle), E. gracilis at Re = 77 with ARc = 0.55 (filled triangle), E. gracilis at Re = 205 with ARc = 0.45 (dashed square), E. gracilis at Re = 128 with ARc = 0.45 (dashed circle), E. gracilis at Re = 77 with ARc = 0.45 (dashed triangle)] and Masaeli et al., 2012 [49] (purple) (Sphere/Rod at Re = 13.09 with ARc = 0.74 (filled triangle), Sphere/Rod at Re = 19.64 with ARc = 0.74 (filled square), Sphere/Rod at Re = 26.18 with ARc = 0.74 (filled rhombus), Sphere/Rod at Re = 32.73 with ARc = 0.74 (filled circle), Sphere/Rod at Re = 39.27 with ARc = 0.74 (dotted triangle), Sphere/Rod at Re = 45.82 with ARc = 0.74 (filled rectangle), Sphere/Rod at Re = 52.36 with ARc = 0.74 (dotted square), Sphere/Rod at Re = 58.91 with ARc = 0.74 (dotted rhombus), Sphere/Rod at Re = 65.45 with ARc = 0.74 (dotted rectangle), Sphere/Rod at Re = 72 with ARc = 0.74 (dotted circle), Sphere/Rod at Re = 14 with ARc = 0.64 (empty triangle), Sphere/Rod at Re = 21 with ARc = 0.64 (empty square), Sphere/Rod at Re = 28 with ARc = 0.64 (empty rhombus), Sphere/Rod at Re = 35 with ARc = 0.64 (empty circle), Sphere/Rod at Re = 42 with ARc = 0.64 (X), Sphere/Rod at Re = 49 with ARc = 0.64 (asterisk), Sphere/Rod at Re = 14.8 with ARc = 0.53 (dashed triangle), Sphere/Rod at Re = 22.2 with ARc = 0.53 (dashed rectangle), Sphere/Rod at Re = 29.6 with ARc = 0.53 (dashed rhombus), Sphere/Rod at Re = 37 with ARc = 0.53 (dashed circle)). The black line corresponds to the fitting curve obtained by the experiments of [55], and the two dashed black lines bound the range of acceptable deviation also called the confidence zone (half of the radius of the smallest particle).
Micromachines 12 00277 g014
Micromachines 12 00277 g015 550
Figure 15. Lateral trajectories of oblate rigid particles of different sizes in a square duct at Re = 100. The particles have the same aspect ratio (ratio between the particle axes, λ = 1/3) and different volumes. The confinement ratios κ are equal to 1/6.93, 1/3.47, and 1/2.43 for the pink, green, and blue particles, respectively. The values of κ are calculated using the particles aspect ratio and the equivalent volume diameters dv (diameter of the sphere of the same volume). Open circles and triangles show the initial and final equilibrium positions, respectively. The initial and final orientations of the oblates are shown with dashed and solid lines (reproduced from [16] with permission).
Figure 15. Lateral trajectories of oblate rigid particles of different sizes in a square duct at Re = 100. The particles have the same aspect ratio (ratio between the particle axes, λ = 1/3) and different volumes. The confinement ratios κ are equal to 1/6.93, 1/3.47, and 1/2.43 for the pink, green, and blue particles, respectively. The values of κ are calculated using the particles aspect ratio and the equivalent volume diameters dv (diameter of the sphere of the same volume). Open circles and triangles show the initial and final equilibrium positions, respectively. The initial and final orientations of the oblates are shown with dashed and solid lines (reproduced from [16] with permission).
Micromachines 12 00277 g015
Micromachines 12 00277 g016 550
Figure 16. Normalized period of rotation of doublets with various size and asymmetry as a function of the aspect ratio λ (purple) and the confinement ratio drot/W (blue) (reprinted from [55], with the permission of AIP Publishing).
Figure 16. Normalized period of rotation of doublets with various size and asymmetry as a function of the aspect ratio λ (purple) and the confinement ratio drot/W (blue) (reprinted from [55], with the permission of AIP Publishing).
Micromachines 12 00277 g016
Table
Table 1. References dealing with suspensions of non-spherical particles cited in this review paper. These works are classified according to the studied phenomenon, the type of flow, and the type of approach adopted by the investigators.
Table 1. References dealing with suspensions of non-spherical particles cited in this review paper. These works are classified according to the studied phenomenon, the type of flow, and the type of approach adopted by the investigators.
Studied PhenomenonRotational BehaviorInertial Migration
Type of flow
Type of study		Unbounded shearBounded shearPoiseuille
Theoretical[15,19,20,21,22,23,24,25,26][27,28,29,30,31][22,29]-
Numerical[15,23,25,26,32,33,34,35][36,37,38,39,40,41,42,43,44][16,17,45,46,47,48][16,17,45,47,49]
Experimental-[27,28,29,30,31,50,51,52,53,54][29,48,51,55,56][49,55,57,58]
Table
Table 2. Summary of the key conclusions concerning the rotational behavior of ellipsoidal and axisymmetric non-ellipsoidal particles. Ka means “kayaking”, Tu means “tumbling”, LR means “log-rolling”, SS means “steady state”, DNC means “studies do not converge”, and X means “no work identified in the literature”. The papers analyzed to produce this table are listed in the second and third columns of Table 1.
Table 2. Summary of the key conclusions concerning the rotational behavior of ellipsoidal and axisymmetric non-ellipsoidal particles. Ka means “kayaking”, Tu means “tumbling”, LR means “log-rolling”, SS means “steady state”, DNC means “studies do not converge”, and X means “no work identified in the literature”. The papers analyzed to produce this table are listed in the second and third columns of Table 1.
ParticleEllipsoidAxisymmetric
Prolate
(λ > 1)		Oblate
(λ < 1)		Rod/cylinder
(λ > 1)
Re (increasing)Ka→Tu→DNC Ka→LR→DNC Ka→Tu→SS
Walls/κNo effect, if the particle is far from the wallLow κ: no effect
High κ: effect on the transition Re
BuoyancyEffect on the transition ReX
λ (getting far from 1)Period of rotation increases
Initial orientationEffect present for Re = 0
DNC for Re > 0		X
Concentration (increasing)XThe transition (Ka→Tu) occurs faster
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tohme, T.; Magaud, P.; Baldas, L. Transport of Non-Spherical Particles in Square Microchannel Flows: A Review. Micromachines 2021, 12, 277. https://0-doi-org.brum.beds.ac.uk/10.3390/mi12030277

AMA Style

Tohme T, Magaud P, Baldas L. Transport of Non-Spherical Particles in Square Microchannel Flows: A Review. Micromachines. 2021; 12(3):277. https://0-doi-org.brum.beds.ac.uk/10.3390/mi12030277

Chicago/Turabian Style

Tohme, Tohme, Pascale Magaud, and Lucien Baldas. 2021. "Transport of Non-Spherical Particles in Square Microchannel Flows: A Review" Micromachines 12, no. 3: 277. https://0-doi-org.brum.beds.ac.uk/10.3390/mi12030277

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop