Harshal Akolekar
Harshal Akolekar
Verified email at student.unimelb.edu.au
Title
Cited by
Cited by
Year
Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines
HD Akolekar, J Weatheritt, N Hutchins, RD Sandberg, G Laskowski, ...
Journal of Turbomachinery 141 (4), 2019
102019
RANS turbulence model development using CFD-driven machine learning
Y Zhao, HD Akolekar, J Weatheritt, V Michelassi, RD Sandberg
Journal of Computational Physics, 109413, 2020
9*2020
Development and use of machine-learnt algebraic reynolds stress models for enhanced prediction of wake mixing in LPTs
HD Akolekar, J Weatheritt, N Hutchins, RD Sandberg, G Laskowski, ...
ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition, 2018
82018
Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions
HD Akolekar, RD Sandberg, N Hutchins, V Michelassi, G Laskowski
Journal of Turbomachinery 141 (10), 2019
5*2019
Development of a Simulation Program to Optimise Process Parameters of Steam Power Cycles
HD Akolekar, P Srinivasan, JS Challa
International Journal of Thermal & Environmental Engineering 8 (1), 55-61, 2014
32014
CFD-ready Turbulence Models from Gene Expression Programming: Concepts
Y Zhao, HD Akolekar, RD Sandberg
APS, G17. 003, 2019
2019
Turbulence Model Development and Implementation for Low Pressure Turbines Using a Machine Learning Approach
HD Akolekar
University of Melbourne, 2019
2019
Turbulence Model Development for Low & High Pressure Turbines Using a Machine Learning Approach
HD Akolekar, Y Zhao, RD Sandberg, N Hutchins, V Michelassi
International Society of Air Breathing Engines, 2019
2019
Understanding loss mechanisms in turbomachinery to increase efficiency
HD Akolekar
University of Melbourne, 2016
2016
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Articles 1–9