Algorithm-driven truss topology optimization for additive manufacturing

Algorithm-driven truss topology optimization for additive manufacturing

by Reintjes, Christian

Type Book
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Since Additive Manufacturing (AM) techniques allow the manufacture of complex-shaped structures the combination of lightweight construction, topology optimization, and AM is of significant interest. Besides the established continuum topology optimization methods, less attention is paid to algorithm-driven optimization based on linear optimization, which can also be used for topology optimization of truss-like structures. To overcome this shortcoming, we combined linear optimization, Computer-Ai…

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Title Statements

  • Full title :Algorithm-driven truss topology optimization for additive manufacturing / 1Christian Reintjes.

Summary

Since Additive Manufacturing (AM) techniques allow the manufacture of complex-shaped structures the combination of lightweight construction, topology optimization, and AM is of significant interest. Besides the established continuum topology optimization methods, less attention is paid to algorithm-driven optimization based on linear optimization, which can also be used for topology optimization of truss-like structures. To overcome this shortcoming, we combined linear optimization, Computer-Aided Design (CAD), numerical shape optimization, and numerical simulation into an algorithm-driven product design process for additively manufactured truss-like structures. With our Ansys SpaceClaim add-in construcTOR, which is capable of obtaining ready-for-machine-interpretation CAD data of truss-like structures out of raw mathematical optimization data, the high performance of (heuristic-based) optimization algorithms implemented in linear programming software is now available to the CAD community.

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Edition Statements

  • Publication Date:copyright 2022

Publication Statements

  • Publisher(s):Springer Vieweg
  • Place of Publication:Wiesbadeb (DE)
  • Language:eng
  • Publication Date:copyright 2022

The Physical Object

  • Description:1 vol. (XXVIII-201 p.) : : ill. en noir. ; : 21 cm.

Edition Identifiers

  • ISBN:9783658362102 (br), 3658362103 (br)
  • oclc:on1317747041

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