Artificial Intelligence Applications in Aeronautical and Aerospace Engineering

3Application of Artificial Intelligence and Machine Learning in Computational Fluid Dynamics

G. Gowtham*, S. Nithya and R. Sundharesan

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India

Abstract

The integration of Artificial Intelligence (AI) into Computational Fluid Dynamics (CFD) marks a pivotal advancement in the field of fluid dynamics, heralding a new era of simulation and analysis. This integration significantly enhances the efficiency, accuracy, and breadth of CFD applications, transcending the limitations of traditional fluid dynamics methods. This paper delves into the multifaceted role of AI in various stages of the CFD process, encompassing pre-processing, data collection, simulation, prediction, and post-processing. In the pre-processing stage, AI drastically improves the efficiency and accuracy of CFD simulations. AI-driven algorithms automate and optimize mesh generation, a traditionally time-intensive task, and facilitate efficient data collection. This optimization is crucial for handling complex geometries and fluid flow scenarios, ensuring high-quality simulations. The ability of AI to tackle complex problems, contribute to optimization processes, and offer predictive capabilities opens new frontiers in fluid dynamics research and applications. As AI technology continues to evolve, its integration with CFD is expected to deepen, leading to more sophisticated, efficient, and comprehensive fluid dynamics solutions. This ...