Optimization for Additive Manufacturing Applications
摘要: Reduce Cost and Improve Designs While Additive Manufacturing technologies can produce a part which is both lighter and stronger than counterparts produced by traditional methods, effectively utilizing this design freedom is not trivial. Tosca Structure is used to perform topology optimization to determine an optimum material distribution in a defined design area while accountin ...
Reduce Cost and Improve Designs While Additive Manufacturing technologies can produce a part which is both lighter and stronger than counterparts produced by traditional methods, effectively utilizing this design freedom is not trivial. Tosca Structure is used to perform topology optimization to determine an optimum material distribution in a defined design area while accounting for existing constraints to the design space: boundary conditions, fixations and pretensions, and loads.
This eSeminar (available in the SIMULIA Learning Community) is a deep dive into our optimization technology to demonstrate how parametric and non-parametric optimization technology can be used to improve Additive Manufacturing designs and reduce process-specific costs. If you’re accessing the Learning Community for the first time, you’ll be asked to create an account—all you need is an email address! Presenter James Fort – SIMULIA Additive Manufacturing Senior Technical Consultant
He started his career at SIMULIA in 2006 after receiving his degree in Mechanical Engineering from the University of Michigan, Ann Arbor. James has held a variety of technical and strategy roles at SIMULIA, including on-site work with key customers in industry. |
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