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September 25, 2020
DATE: Tuesday, October 6, 2020
TIME: 2:00 PM ET/11:00 AM PT
Classic CAD programs have always been sophisticated geometry-sculpting engines, with the designer using his or her industry experience to determine the final shape.
However, the emerging generative design (GD) applications, augmented with on-demand computing, promise a new breed of intelligent CAD, capable of conceiving designs the designer doesn’t even know he or she could consider. In the first episode of this three-part webinar series, we examine how close we have come to this vision.
Tune in to learn:
- How can the generative design (GD) software’s proposals be better than the ideas from a veteran designer with domain expertise and years of field work?
- Where does the workstation end and the cloud begin? What are the GD scenarios where on-demand cloud computing is necessary?
- Can the GD algorithm learn the preferences, quirks, philosophy, and habits of a particular designer to reflect them in the proposed design options?
- Can we trust that the designs proposed by a GD algorithm will stand up to pressures, turbulence, and heat loads as expected?
- Currently what are the limitations of GD? Can the algorithms handle lattices and honeycomb structures? Can it intelligently exclude topology unsuitable for certain manufacturing methods, materials, or budgets, for example?
Sponsored by:
Speakers
Thomas Saier
Founder/CEO
Edera Safety
Tom Jones
Solutions Architect
Amazon Web Services
Vikram Vedantham
Director of Fusion 360 Strategy
Autodesk
Moderator: Kenneth Wong
Senior Editor
Digital Engineering
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