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Investigation, Optimization, and Discussion of Turbulence

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "J: Thermal Management".

Deadline for manuscript submissions: closed (5 April 2023) | Viewed by 3493

Special Issue Editors


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Guest Editor
Faculty of Mechanical Engineering, University of West Bohemia in Pilsen, Univerzitní 22, 306 14 Pilsen, Czech Republic
Interests: fluids; turbulence; helium; quantum turbulence; superfluidity

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Guest Editor
Faculty of Mechanical Engineering, University of West Bohemia in Pilsen & Institute of Thermomechanics, Czech Academy of Sciences, Doleškova 5, 180 00 Prague, Czech Republic
Interests: fluids; turbulence; helium; turbulence scales; turbulence control; vibrations; food industry

Special Issue Information

Dear Colleagues,

Turbulence is often cited to be the last unsolved problem of classical mechanics due to its enormous complexity, emerging from the interactions of many coherent structures of different length scales and strengths. The energy transfer occurring through scales is responsible for the appearance of structures larger than the initial scale of energy input and for the heat input caused by kinetic energy dissipation during the turbulence decay process. Although this topic is very old, has been deeply studied over the centuries, and its detailed mechanisms are already understood, the prediction of turbulence behaviour under some specific conditions still needs to be experimentally or numerically analysed. Turbulence plays a very important role in energy production in areas from wind turbines through to heat exchangers, component cooling mechanisms, steam turbines, and pipe-flows. It also has effects on meteorology and the climate. Please accept this invitation to collect new observations, experiments, calculations, and theories in this Special Issue of Energies. For this, we invite experimenters, theoreticians, and numericians.

Dr. Daniel Duda
Dr. Vitalii Yanovych
Guest Editors

Manuscript Submission Information

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Keywords

  • turbulence
  • turbulent scales
  • structure of turbulence
  • computational fluid dynamics
  • flow measurement
  • turbulence control
  • anisotropy of turbulence
  • coherent structures
  • quantum turbulence
  • superfluids

Published Papers (2 papers)

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Research

27 pages, 5288 KiB  
Article
Spectral Analysis on Transport Budgets of Turbulent Heat Fluxes in Plane Couette Turbulence
by Takuya Kawata and Takahiro Tsukahara
Energies 2022, 15(14), 5258; https://0-doi-org.brum.beds.ac.uk/10.3390/en15145258 - 20 Jul 2022
Cited by 2 | Viewed by 1207
Abstract
In recent years, scale-by-scale energy transport in wall turbulence has been intensively studied, and the complex spatial and interscale transfer of turbulent energy has been investigated. As the enhancement of heat transfer is one of the most important aspects of turbulence from an [...] Read more.
In recent years, scale-by-scale energy transport in wall turbulence has been intensively studied, and the complex spatial and interscale transfer of turbulent energy has been investigated. As the enhancement of heat transfer is one of the most important aspects of turbulence from an engineering perspective, it is also important to study how turbulent heat fluxes are transported in space and in scale by nonlinear multi-scale interactions in wall turbulence as well as turbulent energy. In the present study, the spectral transport budgets of turbulent heat fluxes are investigated based on direct numerical simulation data of a turbulent plane Couette flow with a passive scalar heat transfer. The transport budgets of spanwise spectra of temperature fluctuation and velocity-temperature correlations are investigated in detail in comparison to those of the corresponding Reynolds stress spectra. The similarity and difference between those scale-by-scale transports are discussed, with a particular focus on the roles of interscale transport and spatial turbulent diffusion. As a result, it is found that the spectral transport of the temperature-related statistics is quite similar to those of the Reynolds stresses, and in particular, the inverse interscale transfer is commonly observed throughout the channel in both transport of the Reynolds shear stress and wall-normal turbulent heat flux. Full article
(This article belongs to the Special Issue Investigation, Optimization, and Discussion of Turbulence)
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27 pages, 5879 KiB  
Article
Effect of Manufacturing Inaccuracies on the Wake Past Asymmetric Airfoil by PIV
by Daniel Duda, Vitalii Yanovych, Volodymyr Tsymbalyuk and Václav Uruba
Energies 2022, 15(3), 1227; https://0-doi-org.brum.beds.ac.uk/10.3390/en15031227 - 08 Feb 2022
Cited by 12 | Viewed by 1817
Abstract
The effect of manufacturing geometry deviations on the flow past a NACA 64(3)-618 asymmetric airfoil is studied. This airfoil is 3D printed according to the coordinates from a public database. An optical high-precision 3D scanner, GOM Atos, measures the difference from the idealized [...] Read more.
The effect of manufacturing geometry deviations on the flow past a NACA 64(3)-618 asymmetric airfoil is studied. This airfoil is 3D printed according to the coordinates from a public database. An optical high-precision 3D scanner, GOM Atos, measures the difference from the idealized model. Based on this difference, another model is prepared with a physical output closer to the ideal model. The velocity in the near wake (0–0.4 chord) is measured by using the Particle Image Velocimetry (PIV) technique. This work compares the wakes past three airfoil realizations, which differ in their similarity to the original design (none of the realizations is identical to the original design). The chord-based Reynolds number ranges from 1.6×104 to 1.6×105. The ensemble average velocity is used for the determination of the wake width and for the rough estimation of the drag coefficient. The lift coefficient is measured directly by using force balance. We discuss the origin of turbulent kinetic energy in terms of anisotropy (at least in 2D) and the length-scales of fluctuations across the wake. The spatial power spectral density is shown. The autocorrelation function of the cross-stream velocity detects the regime of the von Karmán vortex street at lower velocities. Full article
(This article belongs to the Special Issue Investigation, Optimization, and Discussion of Turbulence)
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