Development of Machine Learning based Inverse Design for 2D Aerofoil

Key Points

• Machine learning-based approaches significantly improve the design of 2D aerofoils.
• The study demonstrates successful optimization under various aerodynamic conditions and design constraints.
• Assessment using computational fluid dynamics models shows improved aerodynamic performance metrics.
• These findings highlight the potential of machine learning in advanced aerodynamic design, calling for more empirical validations.