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High-order accurate direct numerical simulation of flow over a MTU-T161 low pressure turbine blade

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Title: High-order accurate direct numerical simulation of flow over a MTU-T161 low pressure turbine blade
Authors: Iyer, AS
Abe, Y
Vermeire, BC
Bechlars, P
Baier, RD
Jameson, A
Witherden, FD
Vincent, P
Item Type: Journal Article
Abstract: Reynolds Averaged Navier-Stokes (RANS) simulations and wind tunnel testing have become the go-to tools for industrial design of Low-Pressure Turbine (LPT) blades. However, there is also an emerging interest in use of scale-resolving simulations, including Direct Numerical Simulations (DNS). These could generate insight and data to underpin development of improved RANS models for LPT design. Additionally, they could underpin a virtual LPT wind tunnel capability, that is cheaper, quicker, and more data-rich than experiments. The current study applies PyFR, a Python based Computational Fluid Dynamics (CFD) solver, to fifth-order accurate petascale DNS of compressible flow over a three-dimensional MTU-T161 LPT blade with diverging end walls at a Reynolds number of 200, 000 on an unstructured mesh with over 11 billion degrees-of-freedom per equation. Various flow metrics, including isentropic Mach number distribution at mid-span, surface shear, and wake pressure losses are compared with available experimental data and found to be in agreement. Subsequently, a more detailed analysis of various flow features is presented. These include the separation/transition processes on both the suction and pressure sides of the blade, end-wall vortices, and wake evolution at various span-wise locations. The results, which constitute one of the largest and highest-fidelity CFD simulations ever conducted, demonstrate the potential of high-order accurate GPU-accelerated CFD as a tool for delivering industrial DNS of LPT blades.
Issue Date: 15-Aug-2021
Date of Acceptance: 23-Apr-2021
URI: http://hdl.handle.net/10044/1/88545
DOI: 10.1016/j.compfluid.2021.104989
ISSN: 0045-7930
Publisher: Elsevier
Journal / Book Title: Computers and Fluids
Volume: 226
Copyright Statement: ©2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ )
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Commission of the European Communities
Funder's Grant Number: EP/K027379/1
Keywords: Science & Technology
Computer Science, Interdisciplinary Applications
Computer Science
Computational fluid dynamics
High-order methods
Direct numerical simulations
Low-Pressure turbines
Applied Mathematics
0102 Applied Mathematics
0913 Mechanical Engineering
0915 Interdisciplinary Engineering
Publication Status: Published
Open Access location: https://www.dropbox.com/s/jih2x71dssbf8fl/main.pdf?dl=0
Article Number: ARTN 104989
Online Publication Date: 2021-05-13
Appears in Collections:Aeronautics
Faculty of Engineering

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