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Improved Prediction of Losses with Large Eddy Simulation in a Low-Pressure Turbine There is a need to improve predictions of losses resulting from large eddy simulations (LES) of low-pressure turbines (LPT) in gas turbines. This may be done by assessing the accuracy of predictions against validation data and understanding the source of any inaccuracies. LES is a promising approach for capturing the laminar/turbulent transition process in a LPT. In previous studies, the authors utilized LES to model the flow field over a Variable Speed Power Turbine (VSPT) blade and successfully captured characteristic features of separation/reattachment and transition on the suction side at both the cruise (positive incidence) and take-off conditions (negative incidence) and as well, simulated the effect of free-stream turbulence (FST) on those phenomena. The predicted pressure loading profiles agreed well with the experimental data for both a high and a low FST case at a Reynolds number of Re(ex)=220,000. In this paper, we present wake profiles resulting from computations for a range of FST values. Although the predicted wake profiles for the lowest FST case (Tu=0.5%) matched the experimental data, at higher FST (Tu=10-15%,) the wake was wider than the experimentally measured wake and for both cases were displaced laterally when compared to the experimental measurements. In our investigation of the causes of the said discrepancies we have identified important effects which could strongly influence the predicted wake profile. Predicted losses were improved by assuring the validity of the flow solution. This was done by utilizing spectral analysis to scrutinize the dynamic behavior of the wake and determine solution accuracy resulting from low mesh density and low accuracy of convective modeling.
Document ID
20210025268
Acquisition Source
Glenn Research Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Kenji Miki
(Glenn Research Center Cleveland, Ohio, United States)
Ali Ameri
(The Ohio State University Columbus, Ohio, United States)
Date Acquired
December 1, 2021
Publication Date
February 24, 2022
Publication Information
Publication: Journal of Turbomachinery
Publisher: American Society of Mechanical Engineers
Volume: 144
Issue: 7
Issue Publication Date: July 1, 2022
ISSN: 0889-504X
e-ISSN: 1528-8900
Subject Category
Mechanical Engineering
Report/Patent Number
TURBO-21-1207
Funding Number(s)
WBS: 698154.04.03.01.01
CONTRACT_GRANT: 80GRC020D0003
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
LES-LDKM
Free-stream turbulence
VSPT
separation/transition
Spectral-Analysis
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