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Application of the Statistical Method to Analyze the High-Temperature Tribological Properties of Aluminum Composites

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Abstract

This study presents the statistical analysis of the high-temperature tribological properties of AA6061-SiC composites having 2.5 and 10 wt% SiC addition. The composites were fabricated through the liquid metallurgy method. The experiments were performed as per the fractional factorial design scheme. The ANOVA analysis identified the statistical significance of the influence of factor A (addition of SiC particles), factor B (applied load), factor C (sliding speed), and factor D (temperature) on the wear rate. Meanwhile, factors A and D were observed to present statistical significance on the friction coefficient. The main effects plots depicted that the wear rate and friction coefficient increased with the increase in factors B, C, and D. The heat map graphically revealed that experimental run 4 (2.5 wt% SiC, 10 N, 0.6 m/s, and 70 °C) produced the lowest wear rate. Meanwhile, experimental runs 8 (2.5 wt% SiC, 60 N, 0.6 m/s, and 350 °C) and 5 (10 wt% SiC, 60 N, 3 m/s, and 350 °C) produced the highest wear rate and friction coefficient, respectively. Furthermore, the interaction plots revealed the statistically insignificant interaction among the different factors.

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The data for this research work are available from the corresponding author upon request.

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Acknowledgements

The corresponding author thanks the School of Minerals, Metallurgy, and Materials Engineering, the Indian institute of technology Bhubaneswar, for providing the infrastructural facilities to fabricate and test the composites.

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  1. School of Minerals, Metallurgy and Materials Engineering, Indian Institute of Technology Bhubaneswar, Bhubaneswar, 752050, India

    V. V. Monikandan & Animesh Mandal

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  1. V. V. Monikandan
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  2. Animesh Mandal
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Correspondence to V. V. Monikandan.

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Monikandan, V.V., Mandal, A. Application of the Statistical Method to Analyze the High-Temperature Tribological Properties of Aluminum Composites. Trans Indian Inst Met 76, 2383–2389 (2023). https://doi.org/10.1007/s12666-022-02785-1

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