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- Automated Mesh Refinement (AMR) capability for 2-D Hamiltonian Solver (2022-2024, Funded by US-Army)
The research focuses on developing Automated Mesh Refinement (AMR) technique for a novel solution algorithm using Hamiltonian paths for unsteady two-dimensional compressible Reynolds Averaged Navier-Stokes (RANS) formulation.
Figure: Hamiltonian path on a multi-mesh system around a NACA0012 airfoil
(left: Point continuous multi-block system, middle: All-quadrilateral mesh system, right: Hamiltonian paths passing through the different domains)
- CFD Trained Invertible Neural Networks and Machine Learning for Rotor Blade Airfoil Design (2022-2024, Funded by NRF)
Figure: CFD trained INN applications for rotor comprehensive analysis (right) and blade airfoil design (left)
Figure: CFD trained INN applications for rotor comprehensive analysis (right) and blade airfoil design (left)