Support structure constrained topology optimization for additive manufacturing
There is significant interest today in integrating additive manufacturing (AM) and topology optimization (TO). However, TO often leads to designs that are not AM friendly. For example, topologically optimized designs may require significant amount of support structures before they can be additively...
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| Published in | Computer aided design Vol. 81; pp. 1 - 13 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier Ltd
01.12.2016
Elsevier BV |
| Subjects | |
| Online Access | Get full text |
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| Abstract | There is significant interest today in integrating additive manufacturing (AM) and topology optimization (TO). However, TO often leads to designs that are not AM friendly. For example, topologically optimized designs may require significant amount of support structures before they can be additively manufactured, resulting in increased fabrication and clean-up costs.
In this paper, we propose a TO methodology that will lead to designs requiring significantly reduced support structures. Towards this end, the concept of ‘support structure topological sensitivity’ is introduced. This is combined with performance sensitivity to result in a TO framework that maximizes performance, subject to support structure constraints. The robustness and efficiency of the proposed method is demonstrated through numerical experiments, and validated through fused deposition modeling, a popular AM process.
•Addresses additive manufacturing support structure constraint in topology optimization.•Introduces topological sensitivity for support structures.•Combines support structure sensitivity with performance sensitivity.•Proposes a robust and efficient algorithm for support structure constrained topology optimization. |
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| AbstractList | There is significant interest today in integrating additive manufacturing (AM) and topology optimization (TO). However, TO often leads to designs that are not AM friendly. For example, topologically optimized designs may require significant amount of support structures before they can be additively manufactured, resulting in increased fabrication and clean-up costs. In this paper, we propose a TO methodology that will lead to designs requiring significantly reduced support structures. Towards this end, the concept of ‘support structure topological sensitivity’ is introduced. This is combined with performance sensitivity to result in a TO framework that maximizes performance, subject to support structure constraints. The robustness and efficiency of the proposed method is demonstrated through numerical experiments, and validated through fused deposition modeling, a popular AM process. There is significant interest today in integrating additive manufacturing (AM) and topology optimization (TO). However, TO often leads to designs that are not AM friendly. For example, topologically optimized designs may require significant amount of support structures before they can be additively manufactured, resulting in increased fabrication and clean-up costs. In this paper, we propose a TO methodology that will lead to designs requiring significantly reduced support structures. Towards this end, the concept of ‘support structure topological sensitivity’ is introduced. This is combined with performance sensitivity to result in a TO framework that maximizes performance, subject to support structure constraints. The robustness and efficiency of the proposed method is demonstrated through numerical experiments, and validated through fused deposition modeling, a popular AM process. •Addresses additive manufacturing support structure constraint in topology optimization.•Introduces topological sensitivity for support structures.•Combines support structure sensitivity with performance sensitivity.•Proposes a robust and efficient algorithm for support structure constrained topology optimization. |
| Author | Mirzendehdel, Amir M. Suresh, Krishnan |
| Author_xml | – sequence: 1 givenname: Amir M. surname: Mirzendehdel fullname: Mirzendehdel, Amir M. – sequence: 2 givenname: Krishnan surname: Suresh fullname: Suresh, Krishnan email: suresh@engr.wisc.edu |
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| Keywords | Topology optimization Level-set Support structure Additive manufacturing Topological sensitivity 3D printing |
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| Snippet | There is significant interest today in integrating additive manufacturing (AM) and topology optimization (TO). However, TO often leads to designs that are not... |
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| SubjectTerms | 3D printing Additive manufacturing Fused deposition modeling Level-set Mathematical models Robustness (mathematics) Sensitivity Support structure Topological sensitivity Topology optimization |
| Title | Support structure constrained topology optimization for additive manufacturing |
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