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Processes
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Advances in Numerical Heat Transfer and Fluid Flow (2023)
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Advances in Numerical Heat Transfer and Fluid Flow (2023)

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 8261

Special Issue Editors

Dr. Basma Souayeh

E-Mail Website
Guest Editor
1. Department of Physics, College of Science, King Faisal University, P.O. Box 400, Al-Ahsa 31982, Saudi Arabia
2. Laboratory of Fluid Mechanics, Physics Department, Faculty of Sciences of Tunis, University of Tunis El Manar, 2092 Tunis, Tunisia
Interests: modeling and simulation; finite volume method; computational fluid dynamics; convection; CFD simulation; heat exchangers; aerodynamics; thermal engineering; engineering simulation; fluid flow; heat transfer
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Fateh Mebarek-Oudina

E-Mail Website
Guest Editor
1. Department of Physics, Faculty of Sciences, University of 20 août 1955 - Skikda, B.P 26 Road El-Hadaiek, Skikda 21000, Algeria
2. Laboratoire des Matériaux et Génie Energétique (LMGE), University of 20 août 1955-Skikda, Skikda 21000, Algeria
Interests: modeling and simulation; mathematical physics; fluid dynamics; computational physics; applied mathematics; engineering physics; computer engineering; communication engineering
Prof. Dr. Wael Al-Kouz

E-Mail Website
Guest Editor
College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
Interests: computational fluid mechanics; aerodynamics; modeling and simulation; thermodynamics; engineering; applied and computational mathematics; thermal engineering; convection

Special Issue Information

Dear Colleagues,

In the current era of digital transformations, challenges in engineering design and prototyping are routinely tackled using numerical simulations and physical testing. Due to the complexity of advanced engineering systems, there is an increasing demand on simulations and experiments on heat and fluid flow. The main goal of this Special Issue is to call out specialists, developers, and users of open-source (CFD codes) or in-house codes to share their recent findings in the broad fields of heat transfer and fluid transportation via complex engineering problems belonging to the fields of aeronautics and aerospace, green technology, transportation, biological engineering, analysis of combustion, aspects of heat transfer, and environmental engineering, to name only a few. Use of CFD is considered important.

This Special Issue on “Advances in Numerical Heat Transfer and Fluid Flow (2023)” in the scientific journal Processes is addressed to researchers from all over the world who deal with mathematical modeling and experiments on heat and fluid flow. We welcome papers dealing with solutions of problems of scientific and industrial relevance in the broad fields of heat transfer and fluid transportation, including natural resources, biomedical, and industrial processes in various configurations having engineering standpoints.

Dr. Basma Souayeh
Prof. Dr. Fateh Mebarek-Oudina
Prof. Dr. Wael Al-Kouz
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • numerical simulations of mass and/or heat transfer
  • modeling, optimization, and control of heat transfer and fluid flow
  • simulations of single or multiphase flows, including Newtonian and non-Newtonian fluids
  • computational fluid dynamics
  • modelling of turbulence
  • thermal system
  • multiphase flow
  • nanofluids and hybrid nanofluids
  • fluid flow
  • heat transfer applications
  • cooling
  • heating
  • energy conversion
  • entropy generation
  • improved physical geometries

Published Papers (7 papers)

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Research

20 pages, 16709 KiB  
Article
Numerical Study and Structural Optimization of Impinging Jet Heat Transfer Performance of Floatation Nozzle
by Xijiang Liu, Zhiming Yang, Xin Ye, Qian Lu, Shuai Yuan and Fengze Jiang
Processes 2024, 12(1), 106; https://0-doi-org.brum.beds.ac.uk/10.3390/pr12010106 - 01 Jan 2024
Viewed by 805
Abstract
A floatation nozzle can effectively transfer heat and dry without touching the substrate, and serves as a vital component for heat transfer to the substrate. Enhancing the heat transfer performance, and reducing its heat transfer unevenness to the substrate play an important role [...] Read more.
A floatation nozzle can effectively transfer heat and dry without touching the substrate, and serves as a vital component for heat transfer to the substrate. Enhancing the heat transfer performance, and reducing its heat transfer unevenness to the substrate play an important role in improving product quality and reducing thermal stress. In this work, the effects of key structural parameters of the floatation nozzle on the heat transfer mechanism are systematically investigated by means of a numerical simulation of computational fluid dynamics. The findings demonstrate that the secondary vortex structure induced by the floatation nozzle with effusion holes increases heat transfer performance by 254.3% compared with the nozzle without effusion holes. The turbulent kinetic energy and temperature distribution between the jet and the target surface are affected by the jet angle and slit width respectively, which change the heat transfer performance of the float nozzle in different degrees. Furthermore, to improve the comprehensive heat transfer performance of the floatation nozzle structure, taking into account the average heat transfer capability and heat transfer uniformity, the floatation nozzle’s design is optimized by the application of the response surface method. The comprehensive heat transfer performance is increased by 26.48% with the optimized design parameters. Our work is of practical value for the design of floatation nozzles with high heat transfer performance to improve product quality in industrial systems. Full article
(This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023))
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21 pages, 2901 KiB  
Article
Methods of Partial Differential Equation Discovery: Application to Experimental Data on Heat Transfer Problem
by Tatiana A. Andreeva, Nikolay Y. Bykov, Yakov A. Gataulin, Alexander A. Hvatov, Alexandra K. Klimova, Alexander Ya. Lukin and Mikhail A. Maslyaev
Processes 2023, 11(9), 2719; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11092719 - 12 Sep 2023
Viewed by 1163
Abstract
The paper presents two effective methods for discovering process models in the form of partial differential equations based on an evolutionary algorithm and an algorithm for the best subset selection. The methods are designed to work with sparse and noisy data and implement [...] Read more.
The paper presents two effective methods for discovering process models in the form of partial differential equations based on an evolutionary algorithm and an algorithm for the best subset selection. The methods are designed to work with sparse and noisy data and implement various numerical differentiation techniques, including piecewise local approximation using multidimensional polynomial functions, neural network approximation, and an additional algorithm for selecting differentiation steps. To verify the algorithms, the experiment is carried out on pulsed heating of a viscous liquid (glycerol) by a submerged horizontal cylindrical heat source. Temperature measurements are taken only at six points, which makes the data very sparse. The noise level ranges from 0.2 to 1% of the observed maximum temperature. The algorithms can successfully restore the structure of the heat transfer equation in cylindrical coordinates and determine the thermal diffusivity coefficient with an error of 2.5–20%, depending on the algorithm type and heating mode. Additional synthetic setups are employed to analyze the dependence of accuracy on the noise level. Results also demonstrate the algorithms’ ability to identify underlying processes such as convective motion. Full article
(This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023))
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16 pages, 5581 KiB  
Article
Numerical Investigation of the Electro-Thermo Convection in an Inclined Cavity Filled with a Dielectric Fluid
by Dalila Akrour, Mohamed Issam Elkhazen, Walid Hassen, Karim Kriaa, Chemseddine Maatki, Bilel Hadrich and Lioua Kolsi
Processes 2023, 11(8), 2506; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11082506 - 20 Aug 2023
Cited by 3 | Viewed by 854
Abstract
The present work is a numerical analysis of electro-thermo convection, occurring in a square differentially heated cavity filled with a dielectric fluid. The cavity experiences the combined effects of viscous, electrical, and thermal forces. The equations modelling the physical problem are solved via [...] Read more.
The present work is a numerical analysis of electro-thermo convection, occurring in a square differentially heated cavity filled with a dielectric fluid. The cavity experiences the combined effects of viscous, electrical, and thermal forces. The equations modelling the physical problem are solved via the finite volume approach. The study focuses on the effect of cavity tilt on the fluid flow structure and thermal performance inside the enclosure under the action of an electric field. A parametric study was performed, where the tilt angle is getting varied between 0° and 90°, as well as the Rayleigh number (5000 ≤ Ra ≤ 250,000) and the electric field (0 ≤ T ≤ 800). Furthermore, the electric charge injection level C, the mobility M and the Prandtl Pr numbers were all adjusted to a value of 10. The obtained results demonstrate that the hydrodynamic and thermal fields are significantly impacted by the cavity inclination. In addition, regardless of the thermal Rayleigh’s number, high electric field values could govern fluid movement through electric forces. Electro-convection typically demonstrates an oscillating flow due to the tilting of the cavity which gives rise to a bicellular regime occupying the entire cavity. A correlation has been established to estimate heat transfer by considering various system parameters such as cavity inclination, electrical Rayleigh number, and thermal Rayleigh number. Full article
(This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023))
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20 pages, 6450 KiB  
Article
Effect of Al2O3, SiO2, and ZnO Nanoparticle Concentrations Mixed with EG–Water on the Heat Transfer Characteristics through a Microchannel
by Ibrahim Elbadawy, Fatemah Alali, Javad Farrokhi Derakhshandeh, Ali Dinc, Mohamed Abouelela and Wael Al-Kouz
Processes 2023, 11(7), 2015; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11072015 - 05 Jul 2023
Cited by 2 | Viewed by 1128
Abstract
Nanofluids have gained attention for their potential to solve overheating problems in various industries. They are a mixture of a base fluid and nanoparticles dispersed on the nanoscale. The nanoparticles can be metallic, ceramic, or carbon based, depending on the desired properties. While [...] Read more.
Nanofluids have gained attention for their potential to solve overheating problems in various industries. They are a mixture of a base fluid and nanoparticles dispersed on the nanoscale. The nanoparticles can be metallic, ceramic, or carbon based, depending on the desired properties. While nanofluids offer advantages, challenges such as nanoparticle agglomeration, stability, and cost effectiveness remain. Nonetheless, ongoing research aims to fully harness the potential of nanofluids in addressing overheating issues and improving thermal management in different applications. The current study is concerned with the fluid flow and heat transfer characteristics of different nanofluids using different types of nanoparticles such as Al2O3, SiO2, and ZnO mixed with different base fluids. Pure water and ethylene glycol–water (EG–H2O) mixtures at different EG–H2O ratios (ψ = 0%, 10%, 30%, 40%) are used as the base fluid. Furthermore, a rectangular microchannel heat sink is used. Mesh independent study and validation are performed to investigate the current model, and a good agreement is achieved. The numerical analysis evaluates the influence on the heat transfer coefficient and flow characteristics of nanofluids for Reynolds numbers 500 to 1200 at a 288 K inlet flow temperature. The results show that ZnO nanofluid and 40% EG–H2O increase the heat transfer coefficient by 63% compared to ZnO–H2O nanofluid obtained at Re = 1200 and φ = 5%. Conversely, the pressure drop by ZnO is nearly double that obtained by Al2O3 and SiO2. Full article
(This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023))
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14 pages, 2620 KiB  
Article
Experimental Investigation and CFD Simulation of Cryogenic Condenser
by Seyedsajjad Jazayeri, Afham Pourahmad, Seyyed Amirreza Abdollahi, Amin. Hassanvand, Falah Alobaid and Babak Aghel
Processes 2023, 11(6), 1845; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11061845 - 19 Jun 2023
Cited by 3 | Viewed by 1157
Abstract
In this research, experimental investigation and the computational fluid dynamic (CFD) simulation of a cryogenic condenser for oxygen liquefaction was carried out. The liquid nitrogen was used as a cooling fluid. In the simulation section, a three-dimensional model with a structured mesh with [...] Read more.
In this research, experimental investigation and the computational fluid dynamic (CFD) simulation of a cryogenic condenser for oxygen liquefaction was carried out. The liquid nitrogen was used as a cooling fluid. In the simulation section, a three-dimensional model with a structured mesh with high mesh quality for aspect ratio and skewness was considered. The multi-phase flow inside the condenser was studied numerically, using the volume of fluid (VOF) method. This work also examined the assessment of the vapor generation rate during the condensation of oxygen, based on the boiling heat transfer mechanism and the unique physical characteristics. The experiment was conducted to examine the simulation results. The effect of liquid nitrogen height on the oxygen mass flows was investigated using computational fluid dynamics (CFD). The average deviation of the CFD predictions from the available experimental oxygen mass flows was 17%. Full article
(This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023))
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12 pages, 43432 KiB  
Article
Flow Performance Analysis of Double-Chamber Gas–Liquid Transferring Device
by Si Huang, Yantao Hu, Tianri Guan, Hao Fu and Ziqiang Pan
Processes 2023, 11(5), 1311; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11051311 - 24 Apr 2023
Cited by 1 | Viewed by 1012
Abstract
Gas–liquid transportation is an efficient and economical transportation technology developed in recent years. It mainly uses some transportation equipment to simultaneously transport crude oil, associated natural gas, produced water, and so on for the purpose of reducing costs and energy consumption. In this [...] Read more.
Gas–liquid transportation is an efficient and economical transportation technology developed in recent years. It mainly uses some transportation equipment to simultaneously transport crude oil, associated natural gas, produced water, and so on for the purpose of reducing costs and energy consumption. In this paper, a double-chamber gas–liquid transferring device was selected as the research object. The VOF multiphase flow model of FLUENT software was used to simulate the gas–liquid two-phase flow performance under the design condition. The relationships between the two-phase flows, pressure, temperature, liquid level in the tank, outlet flow rate of the device, and time were calculated and analyzed. The results show that the operating cycle of the device can be divided into three processes, namely ‘suction-compression-discharge’, in which the cycle period formula is proposed as well. The pressures of gas and liquid in the device are basically the same, but the temperatures of the two phases are quite different in the compression process. In the compression process, the outlet valve is closed so that the outlet flow rate of the device is zero, and the gas compression process can be approximately treated as isothermal compression in engineering design. The comparison between the measured performance data in the oil field and the calculation results indicates that the calculation method in this paper is feasible for the performance prediction and optimization of the double-chamber gas–liquid transferring device. Full article
(This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023))
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19 pages, 3340 KiB  
Article
Non-Newtonian Mixed Convection Magnetized Flow with Heat Generation and Viscous Dissipation Effects: A Prediction Application of Artificial Intelligence
by Khalil Ur Rehman and Wasfi Shatanawi
Processes 2023, 11(4), 986; https://0-doi-org.brum.beds.ac.uk/10.3390/pr11040986 - 23 Mar 2023
Cited by 6 | Viewed by 1161
Abstract
A non-Newtonian stagnation point fluid flow towards two different inclined heated surfaces is mathematically formulated with pertinent effects, namely mixed convection, viscous dissipation, thermal radiations, heat generation, and temperature-dependent thermal conductivity. Mass transfer is additionally considered by the use of a concentration equation. [...] Read more.
A non-Newtonian stagnation point fluid flow towards two different inclined heated surfaces is mathematically formulated with pertinent effects, namely mixed convection, viscous dissipation, thermal radiations, heat generation, and temperature-dependent thermal conductivity. Mass transfer is additionally considered by the use of a concentration equation. The flow narrating equations are solved numerically by using the shooting method along with the Runge–Kutta scheme. A total of 80 samples are considered for five different inputs, namely the velocities ratio parameter, temperature Grashof number, Casson fluid parameter, solutal Grashof number, and magnetic field parameter. A total of 70% of the data are used for training the network; 15% of the data are used for validation; and 15% of the data are used for testing. The skin friction coefficient (SFC) is the targeted output. Ten neurons are considered in the hidden layer. The artificial networking models are trained by using the Levenberg–Marquardt algorithm. The SFC values are predicted for cylindrical and flat surfaces by using developed artificial neural networking (ANN) models. SFC shows decline values for the velocity ratio parameter, concentration Grashof number, Casson fluid parameter, and solutal Grashof number. In an absolute sense, owning to a prediction by ANN models, we have seen that the SFC values are high in magnitude for the case of an inclined cylindrical surface in comparison with a flat surface. The present results will serve as a helpful source for future studies on the prediction of surface quantities by using artificial intelligence. Full article
(This article belongs to the Special Issue Advances in Numerical Heat Transfer and Fluid Flow (2023))
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