Statistical Analysis and Correlation Study of Tool Wear in NC Machining

Tool wear during NC machining has always been one of the major research topics in mechanical manufacturing. Currently, many scholars gradually focus further on the study of tool wear's mechanism, monitoring, and control. Due to its complicated formation mechanism, most research findings are still in its infancy up to now. In order to better understand the statistical characteristics of tool wear, in this paper, the average wear of whole of five inserts under different working conditions is analyzed as well as the individuals of them. The empirical results present that the average wear of five inserts increases with the time under the concrete working condition gradually, shows that our experiment could reflect general processing law and we could proceed the next work based on the data that we collect. Meanwhile, the wear of an individual insert is extremely sensitive with the working conditions change, consequently it is really hard to find a regular pattern from the scatter plot drawn by the calculated results. In addition, the correlation coefficient between the average wear data of five inserts as a whole and the measured data of single insert varies with time was calculated. Through observing the result, the average wear of the whole consisted by the five inserts has a strong linear relationship with each individual inserts. Thus, through the work in this paper, it can be concluded that in practical production, the wear of a single insert can be monitored and measured to achieve the wear evaluation of the whole of multiple inserts under the same cutting conditions, which can reduce the financial and time costs of multiple measurements and monitoring.