journal article·2023-04-01Open access

Printing Ready Topology Optimization for Material Extrusion Polymer Additive Manufacturing

Jingjing Yan, Zhiling Yuan, Qiang Liu, Guoliang Liu, Lei Li

Abstract

Additive manufacturing-oriented topology optimization features in the extreme geometric complexity that magnifies the product functional performance. However, the increased geometric complexity makes postprocessing of the designs technically nontrivial and sometimes inefficient because of too many structural details. To address this issue, this article presents a novel printing-ready topology optimization method whereby the topological designs can be directly exported in the format of a printing-ready G-code, which saves the postprocessing efforts of stereo lithograph (STL) model generation, model slicing, and tool path planning. More importantly, the slicing and tool path information can be tracked all the time during optimization to facilitate the evaluation of the tool path-related material constitutive model, for example, the fiber-reinforced composites, so as to improve the numerical analysis accuracy and the design result optimality. Finally, three case studies are performed to test the postprocessing efficiency of the printing-ready approach and the multi-scale design case, which demonstrates the outstanding high efficiency characteristic of the proposed approach.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Topology Optimization in Engineering · Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization

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

Affiliations

Key Laboratory of High Efficiency and Clean Mechanical Manufacture (Ministry of Education), Center for Advanced Jet Engineering Technologies (CaJET), National Demonstration Center for Experimental Mechanical Engineering Education, School of Mechanical Engineering, Shandong University, Jinan, China.

Suzhou Research Institute, Shandong University, Jinan, China.

Weichai Power Co., Ltd., Weifang, China.

School of Civil Engineering and Architecture, University of Jinan, Jinan, China.

School of Mechanical & Automotive Engineering, Qingdao University of Technology, Qingdao, China.

References (52)

Show source-provided references
1. 10.1016/j.cad.2015.04.00110.1016/j.cad.2015.04.001 ↗
2. 10.1080/17452759.2019.170802710.1080/17452759.2019.1708027 ↗
3. 10.1080/17452759.2018.144072210.1080/17452759.2018.1440722 ↗
4. 10.1016/j.jmatprotec.2019.03.01610.1016/j.jmatprotec.2019.03.016 ↗
5. 10.3934/mbe.202019110.3934/mbe.2020191 ↗
6. 10.1016/j.ceramint.2019.05.32810.1016/j.ceramint.2019.05.328 ↗
7. 10.1016/j.jmbbm.2019.06.03110.1016/j.jmbbm.2019.06.031 ↗
8. 10.1016/j.addma.2019.05.02110.1016/j.addma.2019.05.021 ↗
9. Liang X, , Cheng L, , Chen Q, et al. A modified method for estimating inherent strains from detailed process simulation of additive manufacturing. Addit Manuf, 2018; 23:471–486.
10. 10.1007/s00170-014-5808-510.1007/s00170-014-5808-5 ↗
11. 10.1007/s00158-018-1994-310.1007/s00158-018-1994-3 ↗
12. Liu J, , Yan J, , Yu H. Stress-constrained topology optimization for material extrusion polymer additive manufacturing. J Comput Des Eng, 2021; 8:979–993.
13. Jiang J Xiong Y Zhang Z et al. Machine learning integrated design for additive manufacturing. J Intell Manuf 2020. https://doi.org/10.1007/s10845-020-01715-6.10.1007/s10845-020-01715-6 ↗
14. 10.3390/mi1107063310.3390/mi11070633 ↗
15. 10.1016/j.jmapro.2015.06.02410.1016/j.jmapro.2015.06.024 ↗
16. Bendsøe MP Sigmund O. Topology Optimization. Berlin Heidelberg: Springer Berlin Heidelberg 2004.10.1007/978-3-662-05086-6 ↗
17. 10.1016/j.cma.2020.11345310.1016/j.cma.2020.113453 ↗
18. 10.1007/s00158-015-1263-710.1007/s00158-015-1263-7 ↗
19. 10.1016/j.cma.2019.03.03710.1016/j.cma.2019.03.037 ↗
20. 10.1007/s00158-009-0444-710.1007/s00158-009-0444-7 ↗
21. Allaire G Jouve F Michailidis G. Casting constraints in structural optimization via a level-set method. 10th World Congress on Structural and Multidisciplinary Optimization Orlando 2013:19–24.
22. 10.1002/nme.550310.1002/nme.5503 ↗
23. 10.1016/j.advengsoft.2015.04.01310.1016/j.advengsoft.2015.04.013 ↗
24. 10.1016/j.advengsoft.2016.07.01710.1016/j.advengsoft.2016.07.017 ↗
25. 10.1007/s00158-016-1551-x10.1007/s00158-016-1551-x ↗
26. 10.1016/j.cad.2017.05.00310.1016/j.cad.2017.05.003 ↗
27. 10.1016/j.cma.2017.05.00310.1016/j.cma.2017.05.003 ↗
28. 10.1016/j.cma.2018.04.04010.1016/j.cma.2018.04.040 ↗
29. 10.1016/j.cma.2018.01.03710.1016/j.cma.2018.01.037 ↗
30. 10.1007/s00170-018-2251-z10.1007/s00170-018-2251-z ↗
31. 10.1115/1.404735210.1115/1.4047352 ↗
32. 10.1007/s00158-006-0087-x10.1007/s00158-006-0087-x ↗
33. 10.1007/s00158-017-1883-110.1007/s00158-017-1883-1 ↗
34. 10.1016/j.cma.2019.04.01410.1016/j.cma.2019.04.014 ↗
35. 10.1016/j.cma.2017.10.01110.1016/j.cma.2017.10.011 ↗
36. 10.1080/17452759.2018.150127510.1080/17452759.2018.1501275 ↗
37. 10.1007/s00170-018-1955-410.1007/s00170-018-1955-4 ↗
38. 10.1016/j.cma.2018.09.03610.1016/j.cma.2018.09.036 ↗
39. 10.1007/s00158-016-1565-410.1007/s00158-016-1565-4 ↗
40. 10.1016/j.cad.2018.06.00310.1016/j.cad.2018.06.003 ↗
41. Wang X, , Zhang P, , Ludwick S, et al. Natural frequency optimization of 3D printed variable-density honeycomb structure via a homogenization-based approach. Addit Manuf, 2017; 20:189–198.
42. 10.1080/17452759.2019.164748810.1080/17452759.2019.1647488 ↗
43. 10.1016/j.cma.2017.11.03310.1016/j.cma.2017.11.033 ↗
44. 10.1016/j.addma.2020.10169810.1016/j.addma.2020.101698 ↗
45. Zhang C, , Liu J, , Yuan Z, et al. A novel lattice structure topology optimization method with extreme anisotropic lattice properties. J Comput Des Eng, 2021; 8:1367–1390.
46. 10.1007/s11831-019-09331-110.1007/s11831-019-09331-1 ↗
47. 10.1016/j.rcim.2019.10185110.1016/j.rcim.2019.101851 ↗
48. 10.1115/1.403773810.1115/1.4037738 ↗
49. 10.1080/17452759.2019.158494410.1080/17452759.2019.1584944 ↗
50. 10.1016/j.jcp.2003.09.03210.1016/j.jcp.2003.09.032 ↗
51. 10.1016/S0045-7825(02)00559-510.1016/S0045-7825(02)00559-5 ↗
52. 10.1016/j.cma.2017.06.02110.1016/j.cma.2017.06.021 ↗