Optimizing Mechanical Engineering Design with Generative AI Technology

This collection focuses on advancing research related to Sustainable Development Goals (SDG) 9 (Industry, Innovation, and Infrastructure) and SDG 12 (Responsible Consumption and Production) through the innovative use of generative artificial intelligence (AI) in mechanical engineering. It aims to explore how generative AI tools can enhance design processes and human-AI interactions across various fields, including materials, manufacturing, and aerospace. Key objectives include improving structural integrity, material efficiency, manufacturability, and compliance with regulations. The collection welcomes diverse AI methodologies, such as data-driven design, topology optimization, and additive manufacturing. Researchers are encouraged to reproduce findings using open-source models to ensure transparency and promote fair benchmarking within the literature. Overall, this initiative seeks to drive the development of effective, sustainable engineering practices by leveraging emerging AI technologies.

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