Advanced Generative AI in Mechanical Design, Topology Optimization, Manufacturing Process Planning, and Industry 5.0

Abstract: Advanced generative artificial intelligence (AI) is transforming mechanical engineering by enabling data-driven creativity and automation throughout the product life cycle. This chapter explores the integration of generative AI with mechanical design, topology optimization, and manufacturing, alongside the emerging Industry 5.0 paradigm. It examines generative design algorithms that optimize geometries to meet performance, manufacturability, and sustainability criteria. The impact of topology optimization on material distribution, lightweight design, and energy efficiency is highlighted, emphasizing reduced resource consumption and environmental impact. The automation of computer-aided design (CAD) workflows and the use of digital twins as dynamic representations of physical systems are examined, facilitating real-time design validation and iterative optimization without the need for extensive prototyping. The chapter addresses generative manufacturing process planning, showing AI's role in sequencing and resource allocation to meet customization needs and reduce market entry time. In Industry 5.0's human-centric focus, generative AI enhances collaboration between humans and machines to support personalized production and resilient systems. Case studies offer reflections on practical applications in mechanical design, emphasizing performance gains and sustainability. The chapter concludes with a discussion on the technical challenges, ethical considerations, and workforce implications of generative AI adoption, presenting it as a catalyst for intelligent and sustainable mechanical engineering innovation. Keywords: Generative design, topology optimization, smart manufacturing, CAD automation, Industry 5.0.