AI-Driven Optimization of Mechanical Components for Enhanced Performance

Abstract

The rapid advancements in artificial intelligence (AI) are revolutionizing various fields, including mechanical engineering. This paper explores the application of AI-driven optimization techniques to enhance the performance of mechanical components. Traditional optimization methods often rely on empirical testing and manual adjustments, which can be time-consuming and limited by human intuition. In contrast, AI-driven approaches leverage machine learning algorithms and data-driven models to automate and refine the optimization process.