Date: 03/07/2023
Time: 1:00 pm - 2:00 pm
Location
Special Collections Seminar Room
Description
Topology optimization is a powerful optimization-based method for generating optimal designs without relying on designers’ intuition, experience, or inspiration. As 3D printing technology continues to advance, topology optimization will become increasingly important in the automotive, aerospace, and machine industries. In this presentation, the speaker will provide a brief overview of the state of the art and introduce a level-set-based topology optimization framework. This framework represents the design boundary implicitly as the zero level set of a higher-dimensional level set function, allowing for flexibility in topological changes such as boundary merging or splitting during the design process while maintaining a clear definition of the design boundary. The speaker will then discuss some recent advances in this framework, including the design of magnetic soft robots, the optimal design of the magnets in the wind generators, the integrated design and additive manufacturing of composite mechanical metamaterials, and the conformal topology optimization of structures.
[Learn more about Dr. Shikui Chen]
If you have a disability and are requesting accommodations in order to fully participate in this event, please email libraryevents@stonybrook.edu or call 631-632-7100.
Registration
Bookings are closed for this event.
Clara Tran
Email: clara.tran@stonybrook.edu
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