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Wednesday, August 08, 2018

CIMdata Publishes “Siemens PLM Software Advances Generative Design Technology in NX”

Reimagine Products

ANN ARBOR, Michigan, 9 August 2018—CIMdata, Inc., the leading global PLM strategic management consulting and research firm, announces the publication of an eBook titled “Siemens PLM Software Advances Generative Design Technology in NX.”

Generative design is a process wherein the shape and composition of a product is determined by using physics-based simulation and other analysis methods that consider performance requirements and optimize objectives such as minimum cost and weight. Topology Optimization is the most familiar generative design process and its popularity is being driven by improvements in 3D printing. Such design approaches, however, challenge the traditional product development process in that many downstream tools do not understand the geometric output of topology optimization algorithms. This eBook looks at the technical approach adopted in NX, the flagship CAD solution of Siemens PLM Software.

The eBook introduces the key concepts of Generative Design and specifically Topology Optimization. It includes a discussion of the generative design workflow and overcoming the formidable issue of importing the faceted geometry output of generative design algorithms into CAD using Siemens Convergent Modeling technology.

According to Mr. Peter Bilello, CIMdata President, “Given today’s rapidly advancing generative design and additive manufacturing technologies, a company must understand the impacts that their new workflows will have on their current design processes.” Dr. Ken Versprille, CIMdata Executive Consultant, notes “CAD geometric modeling technology continues to evolve to support generative design methods. Siemens geometry technologists have demonstrated a long history of contributions to CAD modeling and are well positioned to support this new challenge.”

To find out more and to download the eBook on Siemens PLM Software Advances Generative Design Technology in NX, visit www.CIMdata.com.

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