Research Fundings
신속 정확한 eVTOL 다운워시 아웃워시 예측 및 완화 기술 연구 (2026-2029, 연구재단)
Previous
- 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)