Prediction of pressure coefficient distributions for basic aerodynamic configurations via point cloud characterization

Key Points

• Pressure coefficient distributions are predicted accurately using point cloud data characterization, enhancing aerodynamic studies.
• The analysis provides significant insights into flow predictions for various basic aerodynamic configurations.
• Using advanced data characterization techniques offers a modern approach to predicting aerodynamic performance metrics effectively.
• Improvements in aerodynamic configuration designs may be enabled by employing this innovative predictive methodology.