Inverse airfoil shape identification using POD-ANN ROMs: A coarse Mesh approach for computational efficiency

Key Points

• Improved computational efficiency is achieved in airfoil shape identification with reduced mesh granularity, enabling faster simulations.
• A notable reduction in simulation time was reported, enhancing performance even with limited computational resources.
• Analysis utilizes proper orthogonal decomposition-artificial neural networks (POD-ANN) to identify airfoil shapes effectively.
• Potential implications include advancements in aerodynamic design processes, warranting further exploration of mesh techniques.