Christian Reintjes 
Algorithm-Driven Truss Topology Optimization for Additive Manufacturing [PDF ebook] 

Soporte

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 Space Claim add-in construc TOR, 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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Tabla de materias

Introduction.- Physical and Technical Background.- Optimization of Truss Structures.- Bridging Algorithm-Driven Truss Optimization and Additive Manufacturing.- Mixed-Integer Linear Programming for Truss Optimization.- CAD-Based Mathematical Optimization.- Computational Study.- Conclusion and Outlook.

Sobre el autor

Christian Reintjes received a master’s degree in Industrial Engineering from University of Siegen in Germany. Following on from that, he worked as a research associate at the Institute of Technology Management where he worked towards his Ph D in Mechanical Engineering. Currently, Christian works for SAP SE as an Expert in Digital Manufacturing and is based out of Walldorf.

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Idioma Inglés ● Formato PDF ● Páginas 201 ● ISBN 9783658362119 ● Tamaño de archivo 9.8 MB ● Editorial Springer Fachmedien Wiesbaden ● Ciudad Wiesbaden ● País DE ● Publicado 2022 ● Descargable 24 meses ● Divisa EUR ● ID 8293869 ● Protección de copia DRM social

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