Imperial College London
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Professor Peter Vincent

Faculty of Engineering, Department of Aeronautics

Professor of Computational Fluid Dynamics
 
 
 
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Contact

 

+44 (0)20 7594 1975p.vincent

 
 
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Location

 

211City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Iyer:2021:10.1016/j.compfluid.2021.104989,
author = {Iyer, AS and Abe, Y and Vermeire, BC and Bechlars, P and Baier, RD and Jameson, A and Witherden, FD and Vincent, P},
doi = {10.1016/j.compfluid.2021.104989},
journal = {Computers and Fluids},
title = {High-order accurate direct numerical simulation of flow over a MTU-T161 low pressure turbine blade},
url = {http://dx.doi.org/10.1016/j.compfluid.2021.104989},
volume = {226},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Reynolds Averaged Navier-Stokes (RANS) simulations and wind tunnel testing have becomethe go-to tools for industrial design of Low-Pressure Turbine (LPT) blades. However, thereis also an emerging interest in use of scale-resolving simulations, including Direct NumericalSimulations (DNS). These could generate insight and data to underpin development of improvedRANS models for LPT design. Additionally, they could underpin a virtual LPT wind tunnelcapability, that is cheaper, quicker, and more data-rich than experiments. The current studyapplies PyFR, a Python based Computational Fluid Dynamics (CFD) solver, to fifth-orderaccurate petascale DNS of compressible flow over a three-dimensional MTU-T161 LPT bladewith diverging end walls at a Reynolds number of 200, 000 on an unstructured mesh with over 11billion degrees-of-freedom per equation. Various flow metrics, including isentropic Mach numberdistribution at mid-span, surface shear, and wake pressure losses are compared with availableexperimental data and found to be in agreement. Subsequently, a more detailed analysis ofvarious flow features is presented. These include the separation/transition processes on boththe suction and pressure sides of the blade, end-wall vortices, and wake evolution at variousspan-wise locations. The results, which constitute one of the largest and highest-fidelity CFDsimulations ever conducted, demonstrate the potential of high-order accurate GPU-acceleratedCFD as a tool for delivering industrial DNS of LPT blades.
AU  - Iyer,AS
AU  - Abe,Y
AU  - Vermeire,BC
AU  - Bechlars,P
AU  - Baier,RD
AU  - Jameson,A
AU  - Witherden,FD
AU  - Vincent,P
DO  - 10.1016/j.compfluid.2021.104989
PY  - 2021///
SN  - 0045-7930
TI  - High-order accurate direct numerical simulation of flow over a MTU-T161 low pressure turbine blade
T2  - Computers and Fluids
UR  - http://dx.doi.org/10.1016/j.compfluid.2021.104989
UR  - http://hdl.handle.net/10044/1/88545
VL  - 226
ER  -
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