Description
Key Learnings
- Learn how to produce and refine manufacturable generative design outcomes
- Learn how to modify outcomes to incorporate additional design intent and prepare for manufacture
- Learn how to generate efficient CNC toolpaths to machine generative geometries
- Discover the productivity benefits of an end-to-end design-to-manufacturing workflow
Speakers
- Ben WeissBen joined Autodesk in 2018 after graduating with a doctorate in Mechanical Engineering from the University of Washington, Seattle, where he researched design optimization with additive manufacturing constraints. At Autodesk, he has leveraged his experiences to help build new manufacturing constraints for Generative Design in Fusion, this time focused on 2D cutting and machining processes. A self-described “optimization nerdâ€, Ben brings a strong theoretical knowledge of the algorithms driving Generative Design to his presentations, helping users make the most of their cloud credits. Prior to graduating, Ben built industry experience through a wide array of internships in structural design, machine design, robotics, electronics, and software development. In graduate school, Ben was named an NSF Graduate Research Fellow and acted as a teaching assistant and guest lecturer for several 3D printing and programming classes.
- CWChristopher WadeHello! I’m Chris, a keen badminton and squash player. But outside of that I’m a Technical Consultant in the Manufacturing Industry Futures team of Autodesk Research. I’ve worked at the Birmingham, UK branch intermittently since 2012 – initially alongside studying for my Masters Degree in Integrated Mechanical and Electrical Engineering, but full-time since I graduated in 2015. My current role necessitates a wide-ranging skill-set, such as knowledge of programming and manufacturing best practices. These are used to concoct bespoke solutions for the problems presented by our various customers or to push the boundaries of what manufacturing can achieve.
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