PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASES

In order to maintain a competitive edge, the turbomachinery industry has to rely increasingly on design and analysis methods based on numerical simulation of flow. The European funded APPACET was set up to study the application of turbulence modelling and the simulation of unsteady interactions to...

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Main Authors: DAVID G. GREGORY-SMITH, SUE C. CROSSLAND
Format: Article
Language:English
Published: Gdańsk University of Technology 2001-10-01
Series:TASK Quarterly
Subjects:
Online Access:https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2272
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author DAVID G. GREGORY-SMITH
SUE C. CROSSLAND
author_facet DAVID G. GREGORY-SMITH
SUE C. CROSSLAND
author_sort DAVID G. GREGORY-SMITH
collection DOAJ
description In order to maintain a competitive edge, the turbomachinery industry has to rely increasingly on design and analysis methods based on numerical simulation of flow. The European funded APPACET was set up to study the application of turbulence modelling and the simulation of unsteady interactions to provide guidelines for the application of CFD to design. This paper shows the results of computations of four of the test cases studied by the project. The importance of grid refinement has been clearly demonstrated, but no evidence was found that one family of turbulence models could be definitely better than the other. Compared to steady results, unsteady time-averaged solutions have not shown any major improvement in accuracy. However unsteady flow phenomena generating losses within each blade row have been captured and partly explained.
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spelling doaj.art-2985c00f54354bca998921d14a6cbde82022-12-22T02:52:57ZengGdańsk University of TechnologyTASK Quarterly1428-63942001-10-0154PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASESDAVID G. GREGORY-SMITH0SUE C. CROSSLAND1University of Durham, School of EngineeringUniversity of Durham, School of Engineering In order to maintain a competitive edge, the turbomachinery industry has to rely increasingly on design and analysis methods based on numerical simulation of flow. The European funded APPACET was set up to study the application of turbulence modelling and the simulation of unsteady interactions to provide guidelines for the application of CFD to design. This paper shows the results of computations of four of the test cases studied by the project. The importance of grid refinement has been clearly demonstrated, but no evidence was found that one family of turbulence models could be definitely better than the other. Compared to steady results, unsteady time-averaged solutions have not shown any major improvement in accuracy. However unsteady flow phenomena generating losses within each blade row have been captured and partly explained. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2272turbomachineryCFDturbulence modellinggrid dependenceunsteady interaction
spellingShingle DAVID G. GREGORY-SMITH
SUE C. CROSSLAND
PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASES
TASK Quarterly
turbomachinery
CFD
turbulence modelling
grid dependence
unsteady interaction
title PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASES
title_full PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASES
title_fullStr PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASES
title_full_unstemmed PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASES
title_short PREDICTION OF TURBOMACHINERY FLOW PHYSICS FROM CFD – REVIEW OF RECENT COMPUTATIONS OF APPACET TEST CASES
title_sort prediction of turbomachinery flow physics from cfd review of recent computations of appacet test cases
topic turbomachinery
CFD
turbulence modelling
grid dependence
unsteady interaction
url https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2272
work_keys_str_mv AT davidggregorysmith predictionofturbomachineryflowphysicsfromcfdreviewofrecentcomputationsofappacettestcases
AT sueccrossland predictionofturbomachineryflowphysicsfromcfdreviewofrecentcomputationsofappacettestcases