journal article·2020-11

Comparison of Compression Performance and Energy Absorption of Lattice Structures Fabricated by Selective Laser Melting

Xin Shi, Wenhe Liao, Peifeng Li, Changdong Zhang, Tingting Liu, Cong Wang, Jiajing Wu

Advanced Engineering Materials· Volume 22· Issue 11
Publisher page

Abstract

Selective laser melting (SLM) enables the fabrication of highly complex lattice structures, such as a novel triply periodic minimal surface (TPMS) lattice structure. This article investigates the compression performance and energy absorption capacity of four SLM TPMS lattice structures with Gyroid, Diamond, IW, and Primitive unit cells. The deformation and failure modes are analyzed by both the mechanical experiments and finite‐element simulation. The compression performance and energy absorption of Gyroid and IW structures with different relative densities are also researched. The results show that the deformation mode is bending‐torsional coupling dominated in Gyroid, Diamond, and IW structures. IW and Gyroid structures have higher compression performance and energy absorption. However, Primitive structures have highest compression performance and lowest energy absorption for its stretch‐dominated deformation mode. The compressive strength and modulus of Gyroid and IW structures can be related to the relative density by the Gibson–Ashby model. With the relative densities of 4.6–8.6%, the Gyroid structure has higher energy absorption. However, the IW structure has higher energy absorption with the relative densities of 8.6–12.6%.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Cellular and Composite Structures · Manufacturing Process and Optimization

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

Affiliations

National Joint Engineering Research Center of NC Forming Technology and Equipment School of Mechanical Engineering Nanjing University of Science and Technology Nanjing 210094 P. R. China

James Watt School of Engineering University of Glasgow Glasgow G12 8QQ UK

Funding

Ministry of Science and Technology of the People's Republic of China

References (43)

Show source-provided references
1. Gibson M. F. A. L. J. · 1997 · 1510.1017/CBO9781139878326.004 ↗
2. Ashby A. E. M. F. · 2000 · 115
3. L.Hao D.Raymont C.Yan A.Hussein P.Young inInt. Conf. on Advanced Research in Virtual and Rapid Prototyping CRC Press Boca Raton2012 p.249.10.1201/b11341-40 ↗
4. 10.1080/13588265.2017.132876410.1080/13588265.2017.1328764 ↗
5. 10.1080/0951192X.2017.140745610.1080/0951192X.2017.1407456 ↗
6. 10.1115/1.403730510.1115/1.4037305 ↗
7. 10.1080/16864360.2015.105919410.1080/16864360.2015.1059194 ↗
8. 10.3390/ma908061310.3390/ma9080613 ↗
9. 10.1016/j.procir.2016.05.01810.1016/j.procir.2016.05.018 ↗
10. 10.1016/j.jmatprotec.2013.01.02010.1016/j.jmatprotec.2013.01.020 ↗
11. 10.1016/j.jmbbm.2012.10.00510.1016/j.jmbbm.2012.10.005 ↗
12. 10.1016/j.actamat.2011.10.05110.1016/j.actamat.2011.10.051 ↗
13. 10.1016/j.jmbbm.2011.05.01010.1016/j.jmbbm.2011.05.010 ↗
14. 10.1016/j.ijimpeng.2015.10.00710.1016/j.ijimpeng.2015.10.007 ↗
15. 10.1007/s00170-012-4403-x10.1007/s00170-012-4403-x ↗
16. 10.1016/j.matdes.2013.10.02710.1016/j.matdes.2013.10.027 ↗
17. 10.1016/j.ijmachtools.2012.06.00210.1016/j.ijmachtools.2012.06.002 ↗
18. 10.1016/j.msea.2014.11.02810.1016/j.msea.2014.11.028 ↗
19. 10.1016/j.actamat.2012.04.00610.1016/j.actamat.2012.04.006 ↗
20. Beyer C. · J. Manuf. Sci. E · 2016 · 138
21. Mazur M. · Int. J. Adv. Manuf. Technol. · 2016 · 84 · 1391
22. 10.1016/j.msea.2014.07.01510.1016/j.msea.2014.07.015 ↗
23. 10.1002/adem.20180086410.1002/adem.201800864 ↗
24. 10.1016/j.compositesb.2018.02.01210.1016/j.compositesb.2018.02.012 ↗
25. 10.1016/j.actamat.2016.04.02910.1016/j.actamat.2016.04.029 ↗
26. 10.1016/j.msea.2015.06.08810.1016/j.msea.2015.06.088 ↗
27. 10.1016/j.msea.2014.12.03610.1016/j.msea.2014.12.036 ↗
28. 10.1016/j.jmst.2016.03.02010.1016/j.jmst.2016.03.020 ↗
29. 10.1016/j.actamat.2016.12.05210.1016/j.actamat.2016.12.052 ↗
30. 10.1016/j.scriptamat.2018.05.01010.1016/j.scriptamat.2018.05.010 ↗
31. 10.1016/j.addma.2020.10106010.1016/j.addma.2020.101060 ↗
32. 10.1016/j.matdes.2016.02.12710.1016/j.matdes.2016.02.127 ↗
33. 10.1016/j.mechmat.2016.01.00410.1016/j.mechmat.2016.01.004 ↗
34. 10.1016/j.matdes.2017.03.01810.1016/j.matdes.2017.03.018 ↗
35. 10.1007/s10853-018-2285-510.1007/s10853-018-2285-5 ↗
36. 10.1103/PhysRevB.68.11510710.1103/PhysRevB.68.115107 ↗
37. 10.1016/j.matdes.2014.05.06410.1016/j.matdes.2014.05.064 ↗
38. 10.4028/www.scientific.net/KEM.361-363.90310.4028/www.scientific.net/KEM.361-363.903 ↗
39. Shengqin D. · Chin. J. Laser · 2018 · 45 · 190
40. 10.1002/adem.20170084210.1002/adem.201700842 ↗
41. 10.1016/j.msea.2018.04.00610.1016/j.msea.2018.04.006 ↗
42. 10.1177/0021955X1663903510.1177/0021955X16639035 ↗
43. 10.1016/j.matdes.2016.02.12710.1016/j.matdes.2016.02.127 ↗