Dry sliding wear behavior of metal matrix composites: A statistical approach

被引:48
作者
Basavarajappa, S. [1 ]
Chandramohan, G. [1 ]
机构
[1] PSG Coll Technol, Dept Engn Mech, Coimbatore 641004, Tamil Nadu, India
关键词
metal matrix composites; statistical analysis; Taguchi technique; wear;
D O I
10.1361/105994906X150731
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The dry sliding wear behavior of SiCp and SiCp-graphite-reinforeed aluminum alloy composites produced by liquid metallurgy is studied by means of a pin-on-disc type of wear-test rig. This study evaluates the influence of independent parameters such as sliding speed (S), applied load (L), and sliding distance (D) on dry sliding wear behavior of composites. A Taguchi design for the experiments is used to collect the data in a controlled way, and a linear regression model is developed. This article tries to model dry sliding wear with wear parameters using a statistical approach. The results obtained in this work enable the influence and significance of various parameters and their interactions to be better understood. It was found that SiCp-Gr (graphite)-reinforced composites exhibit less volume loss when compared with SiCp-reinforced composites. Sliding speed is the most significant factor affecting wear behavior followed by L and D. The effect of interactions between the S and the L is more pronounced in SiCp-Gr composites.
引用
收藏
页码:656 / 660
页数:5
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