Abstract
The present study considers an experimental study of tribological performance of Al-TiB2 metal matrix composite under lubricated condition and optimization of testing parameters viz. weight percentage of TiB2, load, and speed together based on Taguchi method coupled with grey relational analysis to minimize wear and friction characteristics. A grey relational grade obtained from grey relational analysis is u.sed as a performance index to study the behavior of Al-TiB2 composite in presence of SAE20W40 petroleum based lubricant with respect to friction and wear characteristics. L27 orthogonal array has been used to optimize parameters through Taguchi based grey relation analysis. Al-TiB2 metal matrix composite is developed through stir casting method by reinforcing TiB2 particulates into LM4 aluminum alloy. It is observed that weight percentage of TiB2 has a significant contribution in controlling the friction and wear behavior of Al-TiB2 metal matrix composite. Presence of lubricant shows the negation of effect of weight percentage of particulate in the interacting surface region. Load is the most influential factor as it determines the film thickness of the lubricant in a very definite way. In addition, scanning electron microscopy (SEM) is performed on the wear tracks to differentiate the wear mechanism between dry and lubricated condition
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