Optimizing 3D self-supporting topologies for additive manufacturing

Yun Fei Fu; Kazem Ghabraie; Bernard Rolfe; Yanan Wang; Louis N.S. Chiu; Xiaodong Huang

doi:10.1145/3408066.3408090

Optimizing 3D self-supporting topologies for additive manufacturing

Yun Fei Fu, Kazem Ghabraie, Bernard Rolfe, Yanan Wang, Louis N.S. Chiu, Xiaodong Huang

Materials Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

2 Citations (Scopus)

Abstract

Topology optimization can generate highly efficient designs without any prior structural configuration. Additive manufacturing (AM) has become its good partner as it can fabricate the complicated geometries obtained by topology optimization. Designing self-supporting topologies is an effective way to reduce the manufacturing cost caused by the use of support structures. This paper combines a newly developed smooth continuum topology optimization algorithm and Langelaar's AM filter to explore smooth 3D self-supporting topologies. The effectiveness of this combination is validated using a 3D numerical example.

Original language	English
Title of host publication	Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications
Publisher	Association for Computing Machinery (ACM)
Pages	220-223
Number of pages	4
ISBN (Electronic)	9781450377034
DOIs	https://doi.org/10.1145/3408066.3408090
Publication status	Published - Jun 2020
Event	International Conference on Computer Modeling and Simulation 2020 - Brisbane, Australia Duration: 22 Jun 2020 → 24 Jun 2020 Conference number: 12th https://dl.acm.org/doi/proceedings/10.1145/3408066

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	International Conference on Computer Modeling and Simulation 2020
Abbreviated title	ICCMS 2020
Country	Australia
City	Brisbane
Period	22/06/20 → 24/06/20
Internet address	https://dl.acm.org/doi/proceedings/10.1145/3408066

Keywords

3D Optimization Problem
Additive Manufacturing
Self-Supporting Design
Topology Optimization

Access to Document

10.1145/3408066.3408090

Link to publication in Scopus

Cite this

Fu, Y. F., Ghabraie, K., Rolfe, B., Wang, Y., Chiu, L. N. S., & Huang, X. (2020). Optimizing 3D self-supporting topologies for additive manufacturing. In Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications (pp. 220-223). (ACM International Conference Proceeding Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3408066.3408090

Fu, Yun Fei ; Ghabraie, Kazem ; Rolfe, Bernard ; Wang, Yanan ; Chiu, Louis N.S. ; Huang, Xiaodong. / Optimizing 3D self-supporting topologies for additive manufacturing. Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications. Association for Computing Machinery (ACM), 2020. pp. 220-223 (ACM International Conference Proceeding Series).

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abstract = "Topology optimization can generate highly efficient designs without any prior structural configuration. Additive manufacturing (AM) has become its good partner as it can fabricate the complicated geometries obtained by topology optimization. Designing self-supporting topologies is an effective way to reduce the manufacturing cost caused by the use of support structures. This paper combines a newly developed smooth continuum topology optimization algorithm and Langelaar's AM filter to explore smooth 3D self-supporting topologies. The effectiveness of this combination is validated using a 3D numerical example. ",

keywords = "3D Optimization Problem, Additive Manufacturing, Self-Supporting Design, Topology Optimization",

author = "Fu, {Yun Fei} and Kazem Ghabraie and Bernard Rolfe and Yanan Wang and Chiu, {Louis N.S.} and Xiaodong Huang",

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Fu, YF, Ghabraie, K, Rolfe, B, Wang, Y, Chiu, LNS & Huang, X 2020, Optimizing 3D self-supporting topologies for additive manufacturing. in Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications. ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), pp. 220-223, International Conference on Computer Modeling and Simulation 2020, Brisbane, Australia, 22/06/20. https://doi.org/10.1145/3408066.3408090

Optimizing 3D self-supporting topologies for additive manufacturing. / Fu, Yun Fei; Ghabraie, Kazem; Rolfe, Bernard; Wang, Yanan; Chiu, Louis N.S.; Huang, Xiaodong.

Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications. Association for Computing Machinery (ACM), 2020. p. 220-223 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

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Fu YF, Ghabraie K, Rolfe B, Wang Y, Chiu LNS, Huang X. Optimizing 3D self-supporting topologies for additive manufacturing. In Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications. Association for Computing Machinery (ACM). 2020. p. 220-223. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3408066.3408090