AI-Assisted Development of Sustainable Mechanical Systems

Abstract

The paper titled "AI-Assisted Development of Sustainable Mechanical Systems" explores the integration of artificial intelligence (AI) technologies into the design and optimization of mechanical systems with a focus on sustainability. As the demand for environmentally friendly solutions increases, traditional methods of mechanical system development face limitations in addressing complex, multi-dimensional challenges. This study investigates how AI can enhance the efficiency and effectiveness of designing sustainable mechanical systems through advanced algorithms, machine learning, and data analytics. By employing AI-driven tools for simulation, material selection, and performance optimization, the paper demonstrates how these technologies can reduce resource consumption, minimize waste, and improve overall system longevity. Case studies and experimental results are presented to illustrate the practical benefits of AI-assisted approaches in achieving sustainable development goals. The findings highlight the potential for AI to transform mechanical engineering practices and contribute to a more sustainable future.