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In the early crops of Generative Design (GD), the output geometry was theoretically optimal but often impractical to produce, demanding significant manual corrections and refinement.
Many GD software providers have incorporated manufacturing intelligence to address it. Are the current results instantly usable for manufacturing? In this episode of DE Roundtable, the experts discuss:
Our presentation will be followed by a LIVE Q&A session
Register for the DE Roundtable here.


S. Ravi Shankar
Director of Product Marketing, Simulation & Test
Siemens Digital Industries Software

Andreas Vlahinos
Principal, Advanced Engineering Solutions
Topic Moderator - Generative Design, Revolution in Simulation

Moderator: Kenneth Wong
Senior Editor
Digital Engineering


Simcenter™ software, from Siemens Digital Industries Software, uniquely combines system simulation, 3D CAE and test to help you predict performance across all critical attributes earlier and throughout the entire product lifecycle. By combining…
Making the Case for Artificial Intelligence and Machine Learning in Engineering
In this paper, Siemens Digital Industries Software and Digital Engineering will provide an overview of how AI/ML-enabled software can improve design workflows, while also addressing common questions and concerns around implementing this technology in an engineering organization.
Brian Albright is the editorial director of Digital Engineering.
Contact him at [email protected].

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