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/Territory	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

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).

@inproceedings{b5de42e4285b4393a97832309c3745b8,

title = "Optimizing 3D self-supporting topologies for additive manufacturing",

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",

year = "2020",

month = jun,

doi = "10.1145/3408066.3408090",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery (ACM)",

pages = "220--223",

booktitle = "Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications",

address = "United States of America",

note = "International Conference on Computer Modeling and Simulation 2020, ICCMS 2020 ; Conference date: 22-06-2020 Through 24-06-2020",

url = "https://dl.acm.org/doi/proceedings/10.1145/3408066",

}

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, Queensland, 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

TY - GEN

T1 - Optimizing 3D self-supporting topologies for additive manufacturing

AU - Fu, Yun Fei

AU - Ghabraie, Kazem

AU - Rolfe, Bernard

AU - Wang, Yanan

AU - Chiu, Louis N.S.

AU - Huang, Xiaodong

N1 - Conference code: 12th

PY - 2020/6

Y1 - 2020/6

N2 - 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.

AB - 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.

KW - 3D Optimization Problem

KW - Additive Manufacturing

KW - Self-Supporting Design

KW - Topology Optimization

UR - http://www.scopus.com/inward/record.url?scp=85091990356&partnerID=8YFLogxK

U2 - 10.1145/3408066.3408090

DO - 10.1145/3408066.3408090

M3 - Conference Paper

AN - SCOPUS:85091990356

T3 - ACM International Conference Proceeding Series

SP - 220

EP - 223

BT - Proceedings of ICCMS 2020 - 12th International Conference on Computer Modeling and Simulation and ICICA 2020 - 9th International Conference on Intelligent Computing and Applications

PB - Association for Computing Machinery (ACM)

T2 - International Conference on Computer Modeling and Simulation 2020

Y2 - 22 June 2020 through 24 June 2020

ER -

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

Optimizing 3D self-supporting topologies for additive manufacturing

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this