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Experimental Investigation and Optimization of Dry Sliding Wear Test Parameters of Aluminum Based Composites

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Abstract

The dry sliding wear behaviour of SiC reinforced LM13 aluminium alloy was investigated by varying the process characteristics implementing the Taguchi’s Design of Experiment Methodology. Reinforcement content (0, 10, and 15 wt.% of SiC), sliding speed (2, 4, 6 m/s), applied load (10 N, 30 N, 50 N) and sliding distance (150, 300, 450 m) were selected as the independent process variables, and wear rate, frictional heating, and coefficient of friction were considered as the response characteristics followed by Taguchi’s L27 orthogonal array. Pin-on-disc wear testing configuration was employed to evaluate the wear performance. ANOVA has described each process variable’s percentage contribution on the performance characteristics and their significance to the study. The optimum processing condition obtained for optimal wear rates are: reinforcement of 15 wt.%, 10 N load @ 2 m/s and sliding distance of 300 m. Similarly, the optimum level of processing variables for frictional heating: Reinforcement of 0 wt.%, 10 N load @2 m/s and 300 m sliding distance and for coefficient of friction are reinforcement of 0 wt.%, 10 N load @ 2 m/s, and 300 m sliding distance. An overall optimal processing condition has been identified for all three performance characteristics by implementing Grey Relation Analysis (GRA). The confirmation experiments prove that the minimal deviation (2.8%) occurred while comparing the performance measures obtained by optimal parameter settings with the experimental data. The observation outcomes indicated that the most influential factor was applied load, followed by reinforcement, sliding speed, and sliding distance.

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Data Availability

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgments

The authors would like to thank Dr. Noor Zaman Khan of the Mechanical Engineering Department, National Institute of Technology, for his support in the research work.

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Authors and Affiliations

  1. Department of Mechanical Engineering, National Institute of Technology Srinagar, Srinagar, India

    Mohammad Mohsin Khan, Abhijit Dey & Mohammad Irfan Hajam

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  1. Mohammad Mohsin Khan
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  2. Abhijit Dey
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  3. Mohammad Irfan Hajam
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Contributions

Dr. Mohammad Mohsin Khan: Conception of design of study; acquisition of data, drafting the manuscript, critical revision of manuscript.

Dr. Abhijit Dey: Analysis & Interpretation of data.

Mr. Mohammad Irfan Hajam: Analysis &Interpretation of data; drafting the manuscript.

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Correspondence to Mohammad Mohsin Khan.

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Khan, M.M., Dey, A. & Hajam, M.I. Experimental Investigation and Optimization of Dry Sliding Wear Test Parameters of Aluminum Based Composites. Silicon 14, 4009–4026 (2022). https://doi.org/10.1007/s12633-021-01158-5

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