The project successfully demonstrated that integrating GenAI, topology optimization, FEA, and ANN forms a powerful design pipeline. Key outcomes include:
Significant weight reduction without compromising stiffness or performance.
Up to 5× improvement in deformation resistance compared to the base model.
ANN drastically reduced computational time, enabling rapid validation and design iteration.
Generative approaches enhanced geometric creativity, pushing the design beyond conventional engineering constraints.
Modal improvements ensure suitability for high-speed machining applications.
The results validate the feasibility of an AI-driven, adaptive, and high-performance fixture system.