Wear of the cutting tool in turning dry steel AISI 316L
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Abstract
The present experimental study focuses on determining statistical models to predict flank wear during dry turning of AISI 316L stainless steel using two cutting inserts. Cutting parameters were compared using analysis of variance and simple regression. As a main result the significant effect of cutting feed and main time was found. Statistical models were used to estimate flank wear, as well as the mean absolute errors of each equation. The best performance corresponded to the GC2015 insert according to the regression equations.
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