Integrated CFD–ANN Framework for Predicting Blade Deformation and Aerodynamic Performance
1. Introduction The integration of Computational Fluid Dynamics (CFD) with Artificial Neural Networks (ANN) represents a transformative approach in modern engineering research. Traditional CFD methods, while accurate, are computationally intensive, especially for complex blade deformation and aerodynamic response analysis. By coupling CFD with ANN models, researchers can achieve faster predictions without compromising accuracy, enabling efficient optimization of blade design in renewable energy and turbomachinery applications. 2. CFD-Based Aerodynamic Modeling CFD plays a critical role in capturing complex airflow behavior around rotating blades, including turbulence, pressure distribution, and wake interactions. In this research context, CFD simulations provide high-fidelity datasets that describe aerodynamic loads and deformation patterns under varying operating conditions. These simulations form the foundational knowledge base for training intelligent predictive models. 3....