journal article·2025-06Open access

Topology Optimization of Lattice Support Structure for Cantilever Beams Fabricated Via Laser Powder Bed Fusion

Jiazheng Hu, Marjan Molavi‐Zarandi, Damiano Pasini

Advanced Engineering Materials· Volume 27· Issue 11

Abstract

Herein, a numerical scheme is presented to design, optimize, generate, and manufacture a lattice support structure that reduces thermal‐induced distortion in metallic components 3D printed by laser powder bed fusion (LPBF). The inherent strain method is implemented in the framework to fast predict the part distortion during an LPBF build, and asymptotic homogenization is used to determine the effective properties of the lattice support with a triply periodic minimum surface topology. The framework is tested on a practical case study that involves the design of the optimized gradient of a lattice that supports a cantilever beam and compares the results with benchmark designs, a lattice support structure with uniform relative density and a fully solid support. The optimized support can reduce the distortion pattern throughout the entire cantilever beam and reduces the beam tip distortion of 69% and 58% in comparison to the uniform lattice and fully solid support. To demonstrate the viability of the design workflow here presented, a proof‐of‐concept lattice support is manufactured out SS316 stainless steel via LPBF.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Topology Optimization in Engineering · Additive Manufacturing and 3D Printing Technologies · Cellular and Composite Structures

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering McGill University Montreal Quebec H3A 0C3 Canada

National Research Council Canada (NRC) Automotive and Surface Transportation Research Center Numerical Simulation Group Boucherville QC J4B 6Y4 Canada

Funding

Canada Research Chairs · National Research Council Canada

References (54)

Show source-provided references
1. 10.1002/latj.20150000710.1002/latj.201500007 ↗
2. 10.5402/2012/20876010.5402/2012/208760 ↗
3. 10.1002/latj.20129001810.1002/latj.201290018 ↗
4. Lü L. · 2001 · 89
5. 10.1016/B978-0-12-824090-8.00026-310.1016/B978-0-12-824090-8.00026-3 ↗
6. 10.1007/s00158-017-1743-z10.1007/s00158-017-1743-z ↗
7. 10.1016/j.addma.2022.10295610.1016/j.addma.2022.102956 ↗
8. Jiang J. · J. Manuf. Mater. Process. · 2018 · 2 · 64
9. 10.1016/j.ijmachtools.2003.12.00410.1016/j.ijmachtools.2003.12.004 ↗
10. 10.1016/j.promfg.2015.09.04110.1016/j.promfg.2015.09.041 ↗
11. 10.1016/j.cad.2019.03.00410.1016/j.cad.2019.03.004 ↗
12. 10.1007/978-981-16-0909-1_2510.1007/978-981-16-0909-1_25 ↗
13. 10.1016/j.cad.2016.08.00610.1016/j.cad.2016.08.006 ↗
14. 10.1016/j.addma.2016.06.01010.1016/j.addma.2016.06.010 ↗
15. 10.1115/1.404950710.1115/1.4049507 ↗
16. 10.1016/j.cma.2021.11438010.1016/j.cma.2021.114380 ↗
17. 10.1016/j.addma.2021.10242210.1016/j.addma.2021.102422 ↗
18. 10.1016/j.cma.2019.03.05410.1016/j.cma.2019.03.054 ↗
19. 10.1016/j.finel.2021.10370810.1016/j.finel.2021.103708 ↗
20. 10.1007/s00158-020-02551-110.1007/s00158-020-02551-1 ↗
21. 10.1007/s10999-020-09494-x10.1007/s10999-020-09494-x ↗
22. 10.1016/j.addma.2019.03.00110.1016/j.addma.2019.03.001 ↗
23. 10.1007/s00158-020-02512-810.1007/s00158-020-02512-8 ↗
24. 10.2351/1.509609610.2351/1.5096096 ↗
25. 10.1109/JMEMS.2018.287515810.1109/JMEMS.2018.2875158 ↗
26. 10.1080/17452759.2023.218119210.1080/17452759.2023.2181192 ↗
27. 10.1007/s00170-022-10052-210.1007/s00170-022-10052-2 ↗
28. 10.1016/j.commatsci.2013.09.00610.1016/j.commatsci.2013.09.006 ↗
29. 10.1016/j.ijmecsci.2013.10.00310.1016/j.ijmecsci.2013.10.003 ↗
30. 10.1002/adem.20190052410.1002/adem.201900524 ↗
31. 10.1016/j.addma.2017.12.00610.1016/j.addma.2017.12.006 ↗
32. Li D. · J. Mech. Des. · 2019 · 141 · 7
33. 10.1088/1748-3190/11/4/04500110.1088/1748-3190/11/4/045001 ↗
34. 10.1016/j.ijsolstr.2014.06.02410.1016/j.ijsolstr.2014.06.024 ↗
35. 10.1016/j.cad.2018.06.00310.1016/j.cad.2018.06.003 ↗
36. S.Rastegarzadeh J.Wang J.Huang inASME 2021 Int. Design Engineering Technical Conf. Computers and Information in Engineering Conf. Volume 2: 41st Computers and Information in Engineering Conf. (CIE) New York USA2021 p.V002T02A046 https://doi.org/10.1115/DETC2021-71980.10.1115/DETC2021-71980 ↗
37. 10.1016/j.addma.2020.10109110.1016/j.addma.2020.101091 ↗
38. 10.1007/BF0165094910.1007/BF01650949 ↗
39. 10.1016/0045-7825(91)90046-910.1016/0045-7825(91)90046-9 ↗
40. 10.1007/s00419005024810.1007/s004190050248 ↗
41. 10.1016/0045-7949(93)90035-C10.1016/0045-7949(93)90035-C ↗
42. 10.1016/0021-9991(88)90002-210.1016/0021-9991(88)90002-2 ↗
43. Sethian J. A. · 1999
44. 10.1016/S1631-073X(02)02412-310.1016/S1631-073X(02)02412-3 ↗
45. 10.1016/S0045-7825(02)00559-510.1016/S0045-7825(02)00559-5 ↗
46. 10.1007/BF0174293310.1007/BF01742933 ↗
47. 10.1137/S036301299732323010.1137/S0363012997323230 ↗
48. 10.1007/s00158-011-0688-x10.1007/s00158-011-0688-x ↗
49. Wang M. · CMES Comput. Model. Eng. Sci. · 2004 · 6 · 373
50. 10.1137/05062723X10.1137/05062723X ↗
51. 10.1016/j.addma.2021.10251010.1016/j.addma.2021.102510 ↗
52. 10.1002/nme.162024020710.1002/nme.1620240207 ↗
53. 10.1007/s00158-006-0087-x10.1007/s00158-006-0087-x ↗
54. 10.1007/s00158-010-0594-710.1007/s00158-010-0594-7 ↗