0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract We report a novel laser-based surface processing process, laser shock surface patterning (LSSP) integrating both surface strengthening and patterning effects might lead to broader impacts in tribology research and applications. This process utilizes the laser-induced shockwave loadings to introduce the surface strengthening and patterning effects simultaneously, leading to the fabrication of arrays of micro-indentations or protrusions for the enhanced wear resistance and manipulated friction values. Two process designs, direct-LSSP and indirect-LSSP were proposed and carried out on AZ31B Mg alloys and AISI 1045 steels, respectively. The 3D surface profiles of the samples after LSSP were characterized. The hardness of surface patterns prepared by laser processing was measured. The friction values as affected by laser processing parameters were measured by sliding tests. The relationships among laser processing parameters, micro-feature characteristics, and COF were discussed.
Bo Mao, Arpith Siddaiah, Pradeep L Menezes, Yiliang Liao (2019). A Novel Laser Shock Surface Patterning Process Toward Tribological Applications. , DOI: https://doi.org/10.1115/msec2019-2849.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2019
Authors
4
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1115/msec2019-2849
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access