Research on prediction tool of wear conditions of disk milling cutter based on genetic algorithm and BP neural network
TANG Jun
ZHAO Bo
LI Wenxing
Abstract：In the process of CNC shaping milling,the prediction of the state of tool wear has important application significance to improve productivity,reduce scrap rate and avoid security risks.Based on the current monitoring method,the detection system of the wear current of CNC forming milling cutter is set up.Then the input characteristic quantity and target characteristic quantity of BP neural network for tool wear diagnosis are measured,and the sample data were normalized and trained by the Matlab software.At last,the genetic algorithm is used to optimize the BP neural network.The network test results show that the prediction rate of tool wear condition is more than 92.78％.This has certain engineering application value.
Keywords：genetic algorithmBP neural networkmonitoring currenttool wear
Publication Date：2017-09-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 66-71 )