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Articles
Turbulence Model Development and Implementation for Low Pressure Turbines Using a Machine Learning ApproachPublished in
2019
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About the journal
| Journal | University of Melbourne |
|---|
Authors (1)
Harshal Deepak Akolekar- Department of Mechanical Engineering IIT Jodhpur
- CFD-Based Boundary Layer Prediction of Axisymmetric Bodies of Revolution
- Development and Use of Machine-Learnt Algebraic Reynolds Stress Models for Enhanced Prediction of Wake Mixing in Low-Pressure Turbines
- Machine-Learnt Turbulence Closures for Low-Pressure Turbines With Unsteady Inflow Conditions
- Assessment of Machine-Learned Turbulence Models Trained for Improved Wake-Mixing in Low-Pressure Turbine Flows
