For the influence of tool wear to product quality when hard-cutting material was cut,the tool wear mechanism with PCBN tool was explored by experimental.The Fitnet neural network was proposed to realize the tool wear monitoring on given cutting parameters.By using the proposed method,not only machining precision is improved,but also a basic theory is provided for tool wear compensation.
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杨丰,李云.基于Fitnet的刀具磨损量预测方法研究[J].机床与液压,2018,46(14):50-51. . Research on Tool Wear Prediction Based on Fitnet Neural Network[J]. Machine Tool & Hydraulics,2018,46(14):50-51