Dry Sliding Wear Behavior of Hybrid AMC using Taguchi Technique

Kailas V. Chandratre, Vishvesh J. Kathe


Metal matrics hybrid composits are now gaining their usage in aerospace, automotive, defence and other industries because of there in born properties like - high strengths-to-weight ratio, wear and hardness resistance, good creep behavior, little weight, design flexibilities and low value wear rate etc. The project starts with the information introduction of composite hybrid materials of aluminum, motivation to the study. Problem statement with engine piston, as an application, is mentioned. Objectives of the project are to obtain wear rate behavior of different composites and to suggest most significant material for engine piston. Literature is studied from different authors on various parameter like composite materials, AMCs, wear rate test, pin-on-disk mechanism. A flowchart is presented depicting the complete flow of activities of the project from introductions of the topic, problem statement, objectives of the project, literature review, methodology, results and discussion, limitations, future scope, conclusion to report writing. For analysing the results, Minitab 17 statistical software is used. From regression analysis, the regression-model equation is obtained. ANOVA  is done to  get rankings, according to which slide distance is on the first ranking, percentage reinforcement is on second ranking and load is at the third ranking. Main effect graph for means and main effects graph for SN ratios shows that 10 percent reinforcement is best option out of available samples. In validation, the average percentage error is -3.78687, which is satisfactory result. Hence regression model obtained from L64 orthogonal array can be used effectively to predict wear of the hybrid composite with good accuracy.

From the graphs  of  Wear  rates  vs.  Slide  distance,  it  can  be determined that at all different slide distance and different applied load, the wear of 10 wt. percentage reinforcement sample is less in each case. Hence the best fit option is Al LM13 + 10    wt. percentage TiB2 + 3 wt. percentage MoS2 for the Military Vehicle Engine Piston application. The average percentage error (mismatch) is only -3.7868, hence the results are valid.

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