Evolutionary multi-objective optimization of truss topology for additively manufactured components

This paper focuses on the use of truss topology optimization using an evolutionary approach to find optimized, additively manufactured components through a multi-objective formulation, keeping in mind application areas like 3D printing. Additive manufacturing plays a key role here, as the inherent c...

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Vydáno v:Materials and manufacturing processes Ročník 38; číslo 15; s. 1922 - 1931
Hlavní autoři: David, Petr, Mareš, Tomáš, Chakraborti, Nirupam
Médium: Journal Article
Jazyk:angličtina
Vydáno: Taylor & Francis 18.11.2023
Témata:
3D printing
additive
algorithms
deep
EvoDN2
evolutionary
genetic
learning
manufacturing
mechanics
multi-objective
optimization
topology
Truss
ISSN:1042-6914, 1532-2475
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Shrnutí:This paper focuses on the use of truss topology optimization using an evolutionary approach to find optimized, additively manufactured components through a multi-objective formulation, keeping in mind application areas like 3D printing. Additive manufacturing plays a key role here, as the inherent complexity of most optimized truss structures would not allow for any different manufacturing techniques. The multi-optimization formulation consists of optimizing two conflicting objectives: minimization of structural compliance and minimization of heat flowing from the structure to its supports. A background on truss topology optimization, including a literature overview and the motivation behind the problem, is presented. The physical models and the optimization algorithms are explained and afterward, an example problem is solved and analyzed.
ISSN:1042-6914
1532-2475
DOI:10.1080/10426914.2023.2196325