Dry sliding tribological characteristics evaluation and prediction of TiB(2)-CDA/Al6061 hybrid composites exercising machine learning methods.
- DOI
- 10.1038/s41598-025-01336-0
- Published
- 2025 May 14
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-01336-0,
title = {Dry sliding tribological characteristics evaluation and prediction of TiB(2)-CDA/Al6061 hybrid composites exercising machine learning methods.},
author = {Aherwar A and Ahirwar A and Pathak VK},
year = {2025},
journal = {Scientific reports},
doi = {10.1038/s41598-025-01336-0},
url = {https://doi.org/10.1038/s41598-025-01336-0}
}RIS
TY - JOUR TI - Dry sliding tribological characteristics evaluation and prediction of TiB(2)-CDA/Al6061 hybrid composites exercising machine learning methods. AU - Aherwar A AU - Ahirwar A AU - Pathak VK PY - 2025 JO - Scientific reports DO - 10.1038/s41598-025-01336-0 UR - https://doi.org/10.1038/s41598-025-01336-0 ER -
APA
A, A., A, A., & VK, P. (2025). Dry sliding tribological characteristics evaluation and prediction of TiB(2)-CDA/Al6061 hybrid composites exercising machine learning methods.. Scientific reports. https://doi.org/10.1038/s41598-025-01336-0
Source records
- pubmed · retrieved 2026-09-25T19:30:30.952Z