Abstract
Since the variance of tool life in metal machining is very large in general, statistic processing of tool life data is essential for programmable production. The purpose of this study is to implement the model of generalized tool wear equation with the reliable range by multiple regression analysis, and thereby to deduce the tool life equation of quantitatively assured reliability. According to the experimental results in consideration of the tool wear of initial cutting time, the simple tool wear equation was taken in practically useful accuracy, and its reliable range was defined. The tool wear equation can be expressed as W=KVβ1fβ2tβ3E, where W is crater or flank wear, V, cutting velocity, f, feed, t, cutting time and E, error. Further, this method was applied for assessing the performance and quality control of commercial carbide tips from several carbide manufacturers.