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...

Full description

Saved in:
Bibliographic Details
Published in:Materials and manufacturing processes Vol. 38; no. 15; pp. 1922 - 1931
Main Authors: David, Petr, Mareš, Tomáš, Chakraborti, Nirupam
Format: Journal Article
Language:English
Published: Taylor & Francis 18.11.2023
Subjects:
3D printing
additive
algorithms
deep
EvoDN2
evolutionary
genetic
learning
manufacturing
mechanics
multi-objective
optimization
topology
Truss
ISSN:1042-6914, 1532-2475
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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