Topology optimization subject to additive manufacturing constraints

In topology optimization the goal is to find the ideal material distribution in a domain subject to external forces. The structure is optimal if it has the highest possible stiffness. A volume constraint ensures filigree structures, which are regulated via a Ginzburg–Landau term. During 3D printing...

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Veröffentlicht in:	Journal of mathematics in industry Jg. 11; H. 1; S. 1 - 19
Hauptverfasser:	Ebeling-Rump, Moritz, Hömberg, Dietmar, Lasarzik, Robert, Petzold, Thomas
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 07.11.2021 Springer Nature B.V SpringerOpen
Schlagworte:	Additive manufacturing Applications of Mathematics Computing costs Linear elasticity Manufacturing Math. Appl. in Environmental Science Mathematical and Computational Biology Mathematical and Computational Engineering Mathematical Methods in Physics Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Numerical simulations Optimality conditions Optimization Phase field method Stiffness Three dimensional printing Topology optimization Optimality conditions Numerical simulations Linear elasticity 74P05 Topology optimization 65M60 Additive manufacturing Phase field method 49Q10 49Q20 74P10
ISSN:	2190-5983, 2190-5983
Online-Zugang:	Volltext
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