skip to main content
10.1145/3408066.3408090acmotherconferencesArticle/Chapter ViewAbstractPublication PagesiccmsConference Proceedingsconference-collections
research-article

Optimizing 3D Self-Supporting Topologies for Additive Manufacturing

Published: 11 August 2020 Publication History

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.

References

[1]
Sigmund, O. and Maute, K. 2013. Topology optimization approaches: A comparative review. Struct. Multidiscipl. Optimizat. 48, 1031--1055. DOI= https://doi.org/10.1007/s00158-013-0978-6.
[2]
Huang, X. D. and Xie, Y. M. 2009. Bi-directional evolutionary topology optimization of continuum structures with one or multiple materials. Comput. Mech. 43, 393--401. DOI= https://doi.org/10.1007/s00466-008-0312-0.
[3]
Huang, X. D. and Xie, Y. M. 2010. A further review of ESO type methods for topology optimization. Struct. Multidiscipl. Optimizat. 41, 671--683. DOI=https://doi.org/10.1007/s00158-010-0487-9.
[4]
Jiang, J. C., Xu, X., and Stringer, J. 2019. Optimisation of multi-part production in additive manufacturing for reducing support waste. Virtual Phys. Prototyp. 14, 3, 219--228. DOI= https://doi.org/10.1080/17452759.2019.1585555.
[5]
Jiang, J. C., Hu, G. B., Li, X., Xu, X., Zheng, P., and Stringer, J. 2019. Analysis and prediction of printable bridge length in fused deposition modelling based on back propagation neural network. Virtual Phys. Prototyp. 14, 3, 253--266. DOI= https://doi.org/10.1080/17452759.2019.1576010.
[6]
Jiang, J. C., Xu, X., and Stringer, J. 2019. Optimization of process planning for reducing material waste in extrusion based additive manufacturing. Robot. Comput. Int. Manuf. 59, 317--325. DOI= https://doi.org/10.1016/j.rcim.2019.05.007.
[7]
Langelaar, M. 2016. Topology optimization of 3D self-supporting structures for additive manufacturing. Addit. Manuf. 12, 60--70. DOI= https://doi.org/10.1016/j.addma.2016.06.010.
[8]
Langelaar, M. 2017. An additive manufacturing filter for topology optimization of print-ready designs. Struct. Multidiscipl. Optimizat. 55, 871--883. DOI= https://doi.org/10.1007/s00158-016-1522-2.
[9]
Guo, X., Zhou, J. H., Zhang, W. S., Du, Z. L., Liu, C., and Liu, Y. 2017. Self-supporting structure design in additive manufacturing through explicit topology optimization. Comput. Methods Appl. Mech. Eng. 323, 27--63. DOI= https://doi.org/10.1016/j.cma.2017.05.003.
[10]
van de Ven, E., Maas, R., Ayas, C., Langelaar, M., and van Keulen, F. 2018. Continuous front propagation-based overhang control for topology optimization with additive manufacturing. Struct. Multidiscipl. Optimizat. 57, 2075--2091. DOI= https://doi.org/10.1007/s00158-017-1880-4.
[11]
Mezzadri, F., Bouriakov, V., and Qian, X. 2018. Topology optimization of self-supporting support structures for additive manufacturing. Addit. Manuf. 21, 666--682. DOI= https://doi.org/10.1016/j.addma.2018.04.016.
[12]
Zhang, K. Q., Cheng, G. D., and Xu, L. 2019. Topology optimization considering overhang constraint in additive manufacturing. Comput. Struct. 212, 86--100. DOI= https://doi.org/10.1016/j.compstruc.2018.10.011.
[13]
Langelaar, M. 2018. Combined optimization of part topology, support structure layout and build orientation for additive manufacturing. Struct. Multidiscipl. Optimizat. 57, 5, 1985--2004. DOI= https://doi.org/10.1007/s00158-017-1877-z.
[14]
Langelaar, M. 2019. Integrated component-support topology optimization for additive manufacturing with post-machining. Rapid Prototyping J. 25, 2, 255--265. DOI= 10.1108/RPJ-12-2017-0246.
[15]
Barroqueiro, B., Andrade-Campos, A., and Valente, R. 2019. Designing selfsupported SLM structures via topology optimization. J. Manuf. Mater. Process. 3, 68. DOI= https://doi.org/10.3390/jmmp3030068.
[16]
Fu, Y. F., Rolfe, B., Chiu, N. S. L., Wang, Y. N., Huang, X. D., and Ghabraie, K. 2019. Design and experimental validation of self-supporting topologies for additive manufacturing. Virtual Phys. Prototyp. 14, 382--394. DOI=https://doi.org/10.1080/17452759.2019.1637023.
[17]
Fu, Y. F., Rolfe, B., Chiu, N. S. L., Wang, Y. N., Huang, X. D., and Ghabraie, K. 2020. Parametric studies and manufacturability experiments on smooth self-supporting topologies. Virtual Phys. Prototyp. 15, 22--34. DOI= https://doi.org/10.1080/17452759.2019.1644185.
[18]
Fu, Y. F., Rolfe, B., Chiu, N. S. L., Wang, Y. N., Huang, X. D., and Ghabraie, K. 2019. Topology optimization of continuum structures using smooth boundary representation. In 13th World Congress on Structural and Multidisciplinary Optimization. Beijing, China.
[19]
Fu, Y. F., Rolfe, B., Chiu, N. S. L., Wang, Y. N., Huang, X. D., and Ghabraie, K. 2020. Smooth topological design of 3D continuum structures using elemental volume fractions. Comput. Struct. 231, 106213. DOI= https://doi.org/10.1016/j.compstruc.2020.106213.
[20]
Sigmund, O. and Petersson, J. 1998. Numerical instabilities in topology optimization: A survey on procedures dealing with checkerboards, mesh-dependencies and local minima. Struct. Optimizat. 16, 68--75. DOI= https://doi.org/10.1007/BF01214002.
[21]
Vogiatzis, P., Chen, S. K., and Zhou, C. 2017. An open source framework for integrated additive manufacturing and level-set-based topology optimization. J. Comput. Inf. Sci. Eng. 17, 041012. DOI= https://doi.org/10.1115/1.4037738.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
ICCMS '20: Proceedings of the 12th International Conference on Computer Modeling and Simulation
June 2020
219 pages
ISBN:9781450377034
DOI:10.1145/3408066
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • Central Queensland University
  • DUT: Dalian University of Technology
  • University of Wollongong, Australia
  • Swinburne University of Technology
  • University of Technology Sydney
  • National Tsing Hua University: National Tsing Hua University

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 August 2020

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. 3D Optimization Problem
  2. Additive Manufacturing
  3. Self-Supporting Design
  4. Topology Optimization

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

ICCMS '20

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 93
    Total Downloads
  • Downloads (Last 12 months)15
  • Downloads (Last 6 weeks)0
Reflects downloads up to 15 Jan 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media