Show simple item record

contributor authorMancuso, Thomas
contributor authorMukherjee, Abhijit
date accessioned2022-02-06T05:51:39Z
date available2022-02-06T05:51:39Z
date copyright5/14/2021 12:00:00 AM
date issued2021
identifier issn1948-5085
identifier othertsea_13_6_061025.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278924
description abstractThe accuracy of six turbulent flow modeling techniques in an unsteady solution is evaluated against experimental data for a square prism in cross flow. The selected models, shear stress transport (SST), SST-SAS, Reynolds stress model (RSM), partially averaged Navier–Stokes (PANS)-SST, detached eddy simulation (DES), and large eddy simulations (LES), models are the same as those presented in Part 1 of this study, which focused on flow in a staggered tube bank. For this geometry, the SST model proved to be effective at capturing the averaged Nusselt values per side of the square with relatively low computational costs. The SST model, however, showed poorer fidelity to the local Nusselt number profile compared to the experimental data. The LES approach provided a more accurate representation of the local Nusselt number but the computational cost was significantly higher. The PANS modification to the SST model did provide a noticeable improvement in accuracy at a reasonable cost while the SAS modification did not see the same improvement. These conclusions are generally consistent with those found for the staggered tube bank in Part 1 of this study. This study can be used as a guide for the industrial user to select a turbulence model for a similar problem with a low Reynolds number and significant flow separation.
publisherThe American Society of Mechanical Engineers (ASME)
titleAssessment of Turbulence Models for Low Reynolds Number Flows and Their Computational Costs, Part 2: Square Prism in Cross Flow
typeJournal Paper
journal volume13
journal issue6
journal titleJournal of Thermal Science and Engineering Applications
identifier doi10.1115/1.4050663
journal fristpage061025-1
journal lastpage061025-14
page14
treeJournal of Thermal Science and Engineering Applications:;2021:;volume( 013 ):;issue: 006
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record