A Review on Models used for Prediction of Tool Life

Abstract

Tool wear is an important factor that affects the quality and tolerance of machined parts. Having an accurate prediction of tool wear is important for machining industries to maintain the machined surface quality and can consequently reduce inspection costs and increase productivity. Many works has been done to achieve a suitable model for prediction of tool life. However, it has been found that many factors are there, which effects the suitability of prediction model for different methods used for machining operation. The objective of this paper is to exclusive review and sum up the model which is used for prediction of RUL of tool and rotating parts. Various research and analysis has been done for improvement and development of models which can analysis the vibration signals for predicting RUL of rotating parts. During machining operation there are many factors such as cutting parameters, machining condition, temperature, vibration etc which affect the life of the tool. Among which vibration is one of the important factor and if it will not be analysed then this leads to a tragic failure. Since tool is subjected to many factors during machining operation, due to which it possess great challenge to analyze the tool and predict its RUL.