Tool wear prediction model based on wear influence factor

Abstract

This study proposed a new method for predicting tool wear curve over machining time through abscissa stretching or compressing based on wear influence factor. In this method, firstly, the relationship model between the tool wear rate and the cutting parameters needs to be built, and the wear influence factor can be derived from this relationship model. Then, it needs to record the curve of the tool wear value over machining time under a certain cutting parameters through experiments. This curve is called the benchmark tool wear curve, and the wear influence factor under this cutting parameters is called the benchmark wear influence factor. When the cutting parameters change, it is only required to solve the ratio between the wear influence factor under current cutting parameters and the benchmark wear influence factor, then use the ratio to stretch or compress the benchmark tool wear curve in the direction of the abscissa, that is the tool wear prediction curve under current cutting parameters.