1 publication

• Published Subscription Original Research Special issue 30 Aug 2025

  Tribological Performance and Wear Coefficient Prediction of AA2024–TiC Composites via Python-Based Machine Learning

  By Sumit Srivastava, Shanmugha Pillai Balaji, Mayur Dilip Jakhete, S. Vinoth Kumar, L. Ganesh Babu, Sandeep Chinta, Goutam Kumar Mahato, Ram Subbiah

  Abstract: Determining wear coefficient accurately serves as a critical factor to maximize engineering materials' tribological characteristics. The experiment examines the wear characteristics of TiC-reinforced AA2024 aluminum alloy subjected to different tribological operating conditions. A pin-on-disc tribometer performed wear tests under different conditions of load and TiC weight fraction and sliding speed and duration. ANOVA statistical results show that load intensity and TiC reinforcement density stand out as principal variables that affect …

  Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1099–1112 Read article →