Events

In the last decades, additive manufacturing (AM) has changed the world, impacting biomedical devices to aerospace parts. This revolution requires new design methodologies that can take full advantage of AM. Design for Additive Manufacturing (DFAM) methods and tools include topology optimization, design for multiscale structures, mass customization, part consolidation, and other design methods that can fully exploit the capability of AM.

Recently, new AM processes, big data, and Artificial Intelligence (AI) have brought additional opportunities to product design. Data-driven design methods are getting more and more attention. “Design-GPT” could be the next generation of DFAM tools.

However, how to develop data-driven design methods is still a big question in the DFAM field. In this seminar, the function-driven and data-driven design methods for AM will be introduced. You will learn about opportunities and challenges in today’s DFAM field.

Register HERE.