Optimization of tribological process parameters of titanium carbide reinforced copper matrix composites

Author:

Ravichandran M.1,Alagarsamy S.V.2ORCID,Dhinakaran V.3ORCID,Abdul Samad Mohammed45ORCID,Katiyar Jitendra Kumar6ORCID

Affiliation:

1. Department of Mechanical Engineering, K.Ramakrishnan College of Engineering, Tiruchirappalli, 621 112, Tamil Nadu, India

2. Department of Mechanical Engineering, Mahath Amma Institute of Engineering and Technology, Pudukkottai, 622 101, Tamil Nadu, India

3. Centre for Applied Research, Chennai Institute of Technology, Kundrathur, Chennai, 600 069, Tamil Nadu, India

4. Department of Mechanical Engineering, King Fahd University of Petroleum and Minerals, Dhahran – 31261, KSA, Saudi Arabia

5. Interdisciplinary Research Center for Advanced Materials, King Fahd University of Petroleum and Minerals, Dhahran – 31261, Saudi Arabia

6. Department of Mechanical Engineering, SRM Institute of Science & Technology, Kattankulathur, Chennai, 603 203, Tamil Nadu, India

Abstract

Copper (Cu) matrix composites are developed by reinforcing Cu with Titanium Carbide (TiC) powder using the powder metallurgy (PM) method. Pin-on-disc tribo analysis is conducted to evaluate the tribological performance of the developed composites. Moreover, the influence of different parameters such as, concentration (wt.%) of TiC, applied load, sliding velocity and sliding distance on the wear rate and friction coefficient are studied using Taguchi L16 orthogonal array. The main effect plot reveals that the lowest wear rate is obtained at 12 wt.% of TiC, 10 N applied load, 4 m/s sliding velocity and 1750 m sliding distance. Similarly, the lowest friction coefficient is attained at 12 wt.% of TiC, 10 N applied load, 4 m/s sliding velocity and 750 m sliding distance. Analysis of variance (ANOVA) results shows that the wt.% of TiC powder is a more noteworthy parameter for obtaining the lowest wear rate and friction coefficient with a contribution of 94.54% and 94.17%, respectively. A regression model is also developed to predict the friction coefficient and wear rate for the developed composites.

Publisher

SAGE Publications

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Metaheuristic Approach to Enhance Wear Characteristics of Novel AA7178/nSiC Metal Matrix Composites;Journal of Materials Engineering and Performance;2023-10-30

2. Synergetic influence of TiCnp and graphite particles on tribological performance of Cu based composites prepared by flake powder metallurgy;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-03-05

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