Optimization Of Natural Lubricant For Rolling Process By Grey Relation Method And Anova
Abstract
Ecologically approachable biodegradable lubricant has been synthesized through cold rolling processes. The lubricating oil should not be more viscous and should not contain any moisture content beyond its lubricating value. In this paper, attention is focused on recent research work on the optimization of biodegradable lubricant based on defects found on rolled strip. According to the Taguchi quality design concept, a L9 mixed-orthogonal-array table was chosen for the experiments. The anti-friction and anti-wear performance characteristics were evaluated in terms of surface roughness and chemical wear on rolled strip using standard test methods. Grey relational analysis applied to obtain significant influence on the rolling parameters i:e rolling lubrication, amount of lubricant used per rolled strip and roller speed. Moreover, the optimal rolling parameters for minimum surface roughness and chemical wear can be obtained and their significant parameter will show in result.
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