AI-Driven Optimization for Mechanical Component Design

This research paper explores AI-driven optimization for mechanical component design, integrating artificial intelligence methodologies with traditional engineering practices. It focuses on applying machine learning algorithms to enhance design accuracy, reduce material waste, and improve overall performance. The study includes Finite Element Analysis (FEA) simulations to validate the optimized designs, demonstrating their efficiency and reliability. The findings highlight the potential of AI in accelerating the mechanical design process, making it more precise and cost-effective, which is valuable for industries seeking innovative solutions.