Effect of laser energy density on surface morphology, microstructure and mechanical behaviour of direct metal laser melted 17-4 PH stainless steel
Author:
Kumar S. Pradeep1ORCID, Babu P. Dinesh1ORCID
Affiliation:
1. School of Mechanical Engineering , SASTRA Deemed to be University , Thanjavur , 613401 , India
Abstract
Abstract
The surface and microstructural characteristics of 3D printed parts play a significant role under mechanical loading. The authors have explored the effect of laser energy densities on the surface morphology, microstructure and mechanical behaviour of 17-4 precipitation hardened stainless steel fabricated under the direct metal laser melting technique. The considered processing parameters were laser energy density and its technical parameters: laser power, layer thickness, hatch spacing and scanning speed. The mechanical and metallurgical properties of the as-printed samples appeared better than the wrought counterpart due to the higher densification level (99.74 %) induced by the rotating scanning strategy. X‐ray diffraction revealed the presence of both the martensitic α phase and austenitic γ phase in the as-printed sample. There is no significant anisotropy in the mechanical behaviour as the build direction has a random texture with a fine columnar grain structure. The high laser energy density with low layer thickness results in an excellent surface finish. The tensile strength (1180 MPa) and the elongation for the as-printed sample (45.0 %) were considerably more significant than that for the wrought sample (1160 MPa and 26.0 %), which is attributed to the combination of low and high-angle boundaries, as confirmed by the electron backscatter diffraction results.
Publisher
Walter de Gruyter GmbH
Subject
Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics
Reference48 articles.
1. Gokuldoss, P. K., Kolla, S., Eckert, J. Materials 2017, 10, 672. https://doi.org/10.3390/ma10060672. 2. Srinivasan, D., Meignanamoorthy, M., Ravichandran, M., Mohanavel, V., Alagarsamy, S. V., Chanakyan, C., Sakthivelu, S., Karthick, A., Prabhu, T. R., Rajkumar, S. Adv. Mater. Sci. Eng. 2021, 1, 1–10. https://doi.org/10.1155/2021/5756563. 3. Yadollahi, A., Shamsaei, N., Thompson, S. M., Elwany, A., Bian, L. Int. J. Fatigue 2017, 94, 218. https://doi.org/10.1016/j.ijfatigue.2016.03.014. 4. Chandra, S., Tan, X., Narayan, R. L., Wang, C., Tor, S. B., Seet, G. Addit. Manuf. 2021, 37, 101633. https://doi.org/10.1016/j.addma.2020.101633. 5. Wen, Y., Zhang, B., Narayan, R. L., Wang, P., Song, X., Zhao, H., Ramamurty, U., Qu, X. Addit. Manuf. 2021, 40, 101926. https://doi.org/10.1016/j.addma.2021.101926.
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|