Hostname: page-component-cb9f654ff-lqqdg Total loading time: 0 Render date: 2025-08-26T18:50:21.256Z Has data issue: false hasContentIssue false
  • English
  • Français

AN APPROACH FOR TOPOLOGY OPTIMIZATION-DRIVEN DESIGN FOR ADDITIVE MANUFACTURING

Part of: Design Support Tools

Published online by Cambridge University Press:  11 June 2020

A. Nordin
A. Nordin*
Affiliation:
Lund University, Sweden
*
*axel.nordin@design.lth.se

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

This paper describes an approach for designing lightweight components produced through additive manufacturing (AM). Lightweight design is often done through topology optimization (TO). However, the process of manually interpreting mesh-based and imprecise results from a TO into a geometry that fulfils all requirements is complex. To aid in this process, this paper suggest an approach based on combining overhang-constrained TO with lattice-based TO to automate complex tasks, retain parametric control, and to minimize manufacturing cost. The approach is validated through a benchmark part.

Keywords

additive manufacturingoptimisationcomputational design methodslightweight design

Information

Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 325 - 334
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

References

3D Systems (n.d.), “LaserForm 316L (A)”, available at: https://www.3dsystems.com/sites/default/files/2017-06/3D-Systems_LaserForm_316L_%28A%29_DATASHEET_A4_US_2017.06.21_WEB.pdf (accessed 13 November 2019).Google Scholar
Altair (n.d.), “Inspire”, available at: https://solidthinking.com/product/inspire/ (accessed 13 November 2019).Google Scholar
ANSYS, I. (n.d.), “Workbench”, available at: https://www.ansys.com/products/platform (accessed 13 November 2019).Google Scholar
ANSYS Inc (n.d.), “Topology Optimization Solution Methodology”, available at: https://ansyshelp.ansys.com/account/secured?returnurl=/Views/Secured/corp/v192/wb_sim/ds_topo_solvers.html (accessed 15 November 2019).Google Scholar
“Autodesk Meshmixer” (n.d.), available at: http://www.meshmixer.com/ (accessed 13 November 2019).Google Scholar
Bendsøe, M.P. and Kikuchi, N. (1988), “Generating optimal topologies in structural design using a homogenization method”, Computer Methods in Applied Mechanics and Engineering, Vol. 71 No. 2, pp. 197–224.CrossRefGoogle Scholar
Bendsøe, M.P. and Sigmund, O. (2004), Topology Optimization: Theory, Methods, and Applications, Springer, Berlin Heidelberg.CrossRefGoogle Scholar
Brackett, D., Ashcroft, I. and Hague, R. (2011), “Topology optimization for additive manufacturing”, 22nd Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2011, pp. 348–362.Google Scholar
Cai, S. et al. (2014), “Stress constrained shape and topology optimization with fixed mesh: A B-spline finite cell method combined with level set function”, Computer Methods in Applied Mechanics and Engineering, Vol. 278, pp. 361–387, Elsevier.CrossRefGoogle Scholar
Chacón, J.M., Bellido, J.C. and Donoso, A. (2014), “Integration of topology optimized designs into CAD/CAM via an IGES translator”, Structural and Multidisciplinary Optimization, Vol. 50 No. 6, pp. 1115–1125, Springer Verlag.CrossRefGoogle Scholar
Gaynor, A.T. and Guest, J.K. (2016), “Topology optimization considering overhang constraints: Eliminating sacrificial support material in additive manufacturing through design”, Structural and Multidisciplinary Optimization, Vol. 54 No. 5, pp. 1157–1172, Springer Verlag.CrossRefGoogle Scholar
Langelaar, M. (2016), “Topology optimization of 3D self-supporting structures for additive manufacturing”, Additive Manufacturing, Vol. 12, pp. 60–70.CrossRefGoogle Scholar
Liu, J. et al. (2018), “Current and future trends in topology optimization for additive manufacturing”, Structural and Multidisciplinary Optimization, Springer Verlag, 1 June.CrossRefGoogle Scholar
Liu, J. and Ma, Y. (2016), “A survey of manufacturing oriented topology optimization methods”, Advances in Engineering Software, Vol. 100, pp. 161–175, Elsevier Ltd.CrossRefGoogle Scholar
Materialise (n.d.), “Magics”, available at: https://www.materialise.com/en/software/magics (accessed 13 November 2019).Google Scholar
Mirzendehdel, A.M. and Suresh, K. (2016), “Support structure constrained topology optimization for additive manufacturing”, CAD Computer Aided Design, Vol. 81, pp. 1–13, Elsevier Ltd.CrossRefGoogle Scholar
Seo, Y.D., Kim, H.J. and Youn, S.K. (2010), “Isogeometric topology optimization using trimmed spline surfaces”, Computer Methods in Applied Mechanics and Engineering, Vol. 199 No. 49–52, pp. 3270–3296.Google Scholar
Sigmund, O. and Maute, K. (2013), “Topology optimization approaches”, Structural and Multidisciplinary Optimization, Vol. 48 No. 6, pp. 1031–1055, Springer Berlin Heidelberg.CrossRefGoogle Scholar
Wang, X. et al. (2016), “Topological design and additive manufacturing of porous metals for bone scaffolds and orthopaedic implants: A review”, Biomaterials, Elsevier Ltd, 1 March.Google ScholarPubMed
Wu, A.S. et al. (2014), “An Experimental Investigation into Additive Manufacturing-Induced Residual Stresses in 316L Stainless Steel”, Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, Vol. 45 No. 13, pp. 6260–6270, Springer Boston.CrossRefGoogle Scholar
Yadroitsev, I. and Yadroitsava, I. (2015), “Evaluation of residual stress in stainless steel 316L and Ti6Al4V samples produced by selective laser melting”, Virtual and Physical Prototyping, Vol. 10 No. 2, pp. 67–76.CrossRefGoogle Scholar
Zegard, T. and Paulino, G.H. (2016), “Bridging topology optimization and additive manufacturing”, Structural and Multidisciplinary Optimization, Vol. 53 No. 1, pp. 175–192, Springer Verlag.CrossRefGoogle Scholar