Dry Sliding Friction of Al-Si-B4C Composites Prepared Through Powder Metallurgy using Taguchi Design
Abraham Subaraj. M1, Bensam Raj. J2, Naveenchandran. P3, Christopher Ezhil Singh. S4, G. Glan Devadhas5
1Abraham Subaraj.M, Mechanical, Bharath Institute of Higher Education and Research, Bharath University, India.
2Bensam Raj.J, Mechanical, Muthayammal Engineering College, Rasipuram, India.
3Naveenchandran.P, Automobile, Bharath Institute of Higher Education and Research, Bharath University, Chennai, (Tamil Nadu), India.
4Christopher Ezhil Singh. S, Mechanical, Vimal Jyothi Engineering College, Kannur, India.
5Glan Devadhas.G, Applied Electronics and Instrumentation, Vimal Jyothi Engineering College, Kannur, India.
Manuscript received on September 02, 2020. | Revised Manuscript received on September 11, 2020. | Manuscript published on October 10, 2020. | PP: 5-8 | Volume-9 Issue-12, October 2020 | Retrieval Number: 100.1/ijitee.F3462049620 | DOI: 10.35940/ijitee.F3462.1091220
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Abstract: This research paper discuss about the friction behavior of Al-12Si-xB4C composites prepared through powder metallurgy method by varying the weight percentage of reinforcement (x = 2, 4, 6, 8, and 10) content. The samples were prepared by using die and punch assembly and the lubricant used to eject the sample from the die was molybdenum disulfide. The compaction was done by using compression testing machine by applying a pressure of 800MPa. The dry sliding friction behavior of the sample was conducted on Pin-on-Disc machine and the experimental values of friction were calibrated. Taguchi design experiment was done by applying L25 orthogonal array for 3 factors at 5 levels for the response parameter coefficient of friction. Analysis of Variance demonstrated by Mean and S N ratio table for coefficient of friction was discussed and from the table it can be seen that the reinforcement plays a main role, when the compared with load and sliding distance. The normal probability plot shows that the residuals falls near to the red line, it indicate that the error values were less in the model.
Keywords: Al-Si-B4C, ANOVA, P M, Taguchi design, CoF.