Direct Numerical Simulation of Thermal Turbulent Boundary Layer Flow over Multiple V-Shaped Ribs at Different Angles
Direct numerical simulations (DNSs) of spatially developing thermal turbulent boundary layers over angle-ribbed walls were performed. Four rib angles (γ=90°,60°,45° and 30°) were examined. It was found that the 45° ribs produced the highest drag coefficient, whereas the 30° ribs most improved the St...
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Published in | Energies (Basel) Vol. 16; no. 9; p. 3831 |
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Abstract | Direct numerical simulations (DNSs) of spatially developing thermal turbulent boundary layers over angle-ribbed walls were performed. Four rib angles (γ=90°,60°,45° and 30°) were examined. It was found that the 45° ribs produced the highest drag coefficient, whereas the 30° ribs most improved the Stanton number. In comparison to the transverse rib case, streamwise velocity and dimensionless temperature in the V-shaped cases significantly increased in the near wall region and were attenuated by secondary flows further away from the ribs, which suggested a break of the outer-layer similarity in the scenario presented. The surprising improvement of heat transfer performance in the 30° rib case was mainly due to its large dispersive heat flux, while dispersive stress reached its peak value in the 45° case, emphasizing the dissimilarity in transporting momentum and heat by turbulence over a ribbed surface. Additionally, by calculating the global and local Reynolds analogy factors, we concluded that the enhancement in heat transfer efficiency was attributed to an increasing Reynolds analogy factor in the intermediate region as the rib angle decreased. |
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AbstractList | Direct numerical simulations (DNSs) of spatially developing thermal turbulent boundary layers over angle-ribbed walls were performed. Four rib angles (γ=90°,60°,45° and 30°) were examined. It was found that the 45° ribs produced the highest drag coefficient, whereas the 30° ribs most improved the Stanton number. In comparison to the transverse rib case, streamwise velocity and dimensionless temperature in the V-shaped cases significantly increased in the near wall region and were attenuated by secondary flows further away from the ribs, which suggested a break of the outer-layer similarity in the scenario presented. The surprising improvement of heat transfer performance in the 30° rib case was mainly due to its large dispersive heat flux, while dispersive stress reached its peak value in the 45° case, emphasizing the dissimilarity in transporting momentum and heat by turbulence over a ribbed surface. Additionally, by calculating the global and local Reynolds analogy factors, we concluded that the enhancement in heat transfer efficiency was attributed to an increasing Reynolds analogy factor in the intermediate region as the rib angle decreased. Direct numerical simulations (DNSs) of spatially developing thermal turbulent boundary layers over angle-ribbed walls were performed. Four rib angles (γ=90[sup.°],60[sup.°],45[sup.°] and 30[sup.°]) were examined. It was found that the 45[sup.°] ribs produced the highest drag coefficient, whereas the 30[sup.°] ribs most improved the Stanton number. In comparison to the transverse rib case, streamwise velocity and dimensionless temperature in the V-shaped cases significantly increased in the near wall region and were attenuated by secondary flows further away from the ribs, which suggested a break of the outer-layer similarity in the scenario presented. The surprising improvement of heat transfer performance in the 30[sup.°] rib case was mainly due to its large dispersive heat flux, while dispersive stress reached its peak value in the 45[sup.°] case, emphasizing the dissimilarity in transporting momentum and heat by turbulence over a ribbed surface. Additionally, by calculating the global and local Reynolds analogy factors, we concluded that the enhancement in heat transfer efficiency was attributed to an increasing Reynolds analogy factor in the intermediate region as the rib angle decreased. |
Audience | Academic |
Author | Ding, Jing Lu, Jianfeng Wang, Weilong Ji, Feng |
Author_xml | – sequence: 1 givenname: Feng orcidid: 0000-0002-6097-614X surname: Ji fullname: Ji, Feng – sequence: 2 givenname: Jing surname: Ding fullname: Ding, Jing – sequence: 3 givenname: Jianfeng orcidid: 0000-0002-6839-0442 surname: Lu fullname: Lu, Jianfeng – sequence: 4 givenname: Weilong surname: Wang fullname: Wang, Weilong |
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Cites_doi | 10.1016/j.ijheatfluidflow.2004.02.011 10.1017/jfm.2018.231 10.1063/1.4864105 10.1017/jfm.2015.344 10.1017/jfm.2018.578 10.1017/jfm.2014.608 10.1063/5.0024038 10.1017/jfm.2021.1015 10.1017/jfm.2018.541 10.1017/jfm.2022.295 10.1007/BF00128057 10.1017/jfm.2016.12 10.1016/j.softx.2020.100550 10.1016/j.ijheatfluidflow.2021.108782 10.1017/S0022112010005082 10.1017/jfm.2019.1014 10.1017/jfm.2021.310 10.1017/jfm.2022.880 10.1063/1.4832377 10.1063/1.4985715 10.1016/j.ijheatfluidflow.2015.07.008 10.1016/j.ijheatfluidflow.2019.108518 10.1063/1.1516779 10.1017/jfm.2022.269 10.1017/S0022112003005500 10.1063/5.0080867 10.1017/jfm.2012.324 10.1016/j.ijheatfluidflow.2015.06.006 10.1103/PhysRevFluids.3.014608 |
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SubjectTerms | Boundary layer flow Boundary layers Computer industry Decomposition Direct numerical simulation Dispersion Drag coefficients Friction Heat flux Heat transfer Influence Investigations Mathematical models Numerical analysis Reynolds analogy Reynolds number ribbed surface Secondary flow Simulation Simulation methods Stanton number Thermal boundary layer Thermal simulation thermal turbulent boundary layer Turbulence Turbulent boundary layer Turbulent flow Velocity Vortices |
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Title | Direct Numerical Simulation of Thermal Turbulent Boundary Layer Flow over Multiple V-Shaped Ribs at Different Angles |
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