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

Autor: Mohammad Irfan Hajam, Mohammad Mohsin Khan, Abhijit Dey
Rok vydání: 2021
Předmět:
Zdroj: Silicon. 14:4009-4026
ISSN: 1876-9918
1876-990X
DOI: 10.1007/s12633-021-01158-5
Popis: 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.
Databáze: OpenAIRE
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