2022
DOI: 10.1115/1.4053234
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Improved Prediction of Losses With Large Eddy Simulation in a Low-Pressure Turbine

Abstract: 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 char… Show more

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Cited by 6 publications
(1 citation statement)
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“…Due to the limitations of turbulence models and transition models [9], traditional Reynolds-Averaged Navier-Stokes (RANS) methods are gradually becoming insufficient to meet the needs of designers. With the continuous improvement in computer performance, applying LES methods in engineering computations has become feasible [10][11][12]. Therefore, developing LES numerical simulation programs with higher computational accuracy and better universality is of great Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”
Section: Introductionmentioning
confidence: 99%
“…Due to the limitations of turbulence models and transition models [9], traditional Reynolds-Averaged Navier-Stokes (RANS) methods are gradually becoming insufficient to meet the needs of designers. With the continuous improvement in computer performance, applying LES methods in engineering computations has become feasible [10][11][12]. Therefore, developing LES numerical simulation programs with higher computational accuracy and better universality is of great Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”
Section: Introductionmentioning
confidence: 99%