Biblio

Found 6 results
Author Keyword [ Type(Asc)] Year
Filters: Author is Harshal Akolekar  [Clear All Filters]
Conference Proceedings
Fang Y, Reissmann M, Pacciani R, Zhao Y, Ooi A, Marconcini M, Akolekar H, Sandberg R.  Submitted.  Exploiting a Transformer Architecture to Simultaneous Development of Transition and Turbulence Models for Turbine Flow Predictions. ASME Turbo Expo 2024 Turbomachinery Technical Conference and Exposition.
GT2024-125550
Conference Paper
Akolekar H, Waschkowski F, Sandberg R, Pacciani R, Zhao Y.  2022.  Multi-Objective Development of Machine-Learnt Closures for Fully Integrated Transition and Wake Mixing Predictions in Low Pressure Turbines. ASME Turbo Expo 2022 Turbomachinery Technical Conference and Exposition. Volume 10C: Turbomachinery
ASME paper GT2022-81091
Akolekar H, Zhao Y, Sandberg R, Pacciani R.  2020.  Integration of Machine Learning and Computational Fluid Dynamics to Develop Turbulence Models for Improved Turbine Wake Mixing Prediction. ASME Turbo Expo 2020 Turbomachinery Technical Conference and Exposition. 2C: Turbomachinery:10.
paper GT2020-14732