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Journal Articles

Investigating the Tribological Performance and Wear Mechanisms of Stainless Steel 316L in Cold Metal Transfer-Based Wire Arc Additive Manufacturing Under Varied Loads and Thermal Inputs

Saboor Fayaz Lone, Dinesh W. Rathod, Sheikh Nazir Ahmad, Shiva Sekar
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. August 2025, 147(8): 084202.
Paper No: TRIB-24-1385
https://doi.org/10.1115/1.4067810
Published Online: February 24, 2025
... conducted for 10 min at a frequency of 15 Hz and a stroke length of 2 mm. Results indicate that the coefficient of friction (COF) increased slightly with applied loads, yielding an average COF of 0.22 across all loads. Wear-rate analysis revealed that both increased applied load and heat input led...
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Topics: Heat, Wear, Stress
Journal Articles

Triboinformatics Approach for Friction and Wear Prediction of Al-Graphite Composites Using Machine Learning Methods

Md Syam Hasan, Amir Kordijazi, Pradeep K. Rohatgi, Michael Nosonovsky
Journal: Journal of Tribology
Publisher: ASME
Article Type: Research Papers
J. Tribol. January 2022, 144(1): 011701.
Paper No: TRIB-20-1555
https://doi.org/10.1115/1.4050525
Published Online: April 19, 2021
... tribological data available in the literature for predicting the coefficient of friction (COF) and wear-rate of self-lubricating aluminum graphite (Al/Gr) composites. We collected data on effects of material variables (graphite content, hardness, ductility, yield strength, silicon carbide content, and tensile...
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Topics: Composite materials, Friction, Graphite, Metal matrix composites, Tribology, Wear, Algorithms, Machine learning, Artificial neural networks