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Influence of volumetric energy density on the tribological behaviors of pure nickel fabricated by laser powder bed fusion

Yue, Tianyang; Zou, Zhiyi; Zhang, Sheng; Xu, Yidi; Zang, Yong

Influence of volumetric energy density on the tribological behaviors of pure nickel fabricated by laser powder bed fusion Thumbnail


Authors

Tianyang Yue

Sheng Zhang

Yidi Xu

Yong Zang



Abstract

Laser powder bed fusion (L-PBF) enables the fast fabrication of pure nickel parts with complex structures. Tribological behaviors of the printed pure nickel are crucial to its application, and highly dependent on the volumetric energy density (VED), due to the variation of wear mechanisms. In this study, to investigate the wear mechanisms and evaluate the tribological behaviors of L-PBF pure nickel, samples fabricated with different VEDs were tested by a ball-on-disc tribometer under different representative loads. Unlike tribofilms formed on casting samples during sliding, L-PBF samples suffer abrasive wear, and their wear resistance decreases initially and increases afterwards with increasing VED. It suggests that the preferred VED provide good densification behaviors, high microhardness, and sufficient thin columnar subgrains, which decrease the abrasive wear. As a result, the wear resistance of the preferred L-PBF pure nickel can outperform cast counterparts under a load close to the yield strength of pure nickel.

Citation

Yue, T., Zou, Z., Zhang, S., Xu, Y., & Zang, Y. (2023). Influence of volumetric energy density on the tribological behaviors of pure nickel fabricated by laser powder bed fusion. Virtual and Physical Prototyping, 18(1), Article e2262449. https://doi.org/10.1080/17452759.2023.2262449

Journal Article Type Article
Acceptance Date Sep 18, 2023
Online Publication Date Oct 10, 2023
Publication Date Oct 10, 2023
Deposit Date Dec 6, 2023
Publicly Available Date Dec 6, 2023
Journal Virtual and Physical Prototyping
Print ISSN 1745-2759
Electronic ISSN 1745-2767
Publisher Taylor and Francis
Peer Reviewed Peer Reviewed
Volume 18
Issue 1
Article Number e2262449
DOI https://doi.org/10.1080/17452759.2023.2262449
Keywords Industrial and Manufacturing Engineering; Computer Graphics and Computer-Aided Design; Modeling and Simulation; Signal Processing
Public URL https://nottingham-repository.worktribe.com/output/26519798
Publisher URL https://www.tandfonline.com/doi/full/10.1080/17452759.2023.2262449
Additional Information Peer Review Statement: The publishing and review policy for this title is described in its Aims & Scope.; Aim & Scope: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=nvpp20; Received: 2023-06-03; Accepted: 2023-09-18; Published: 2023-10-10

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