关键词: 刀具状态监测, 功率信号, 钻锪刀具, 自适应神经模糊系统, 支持向量回归

Abstract: The state of cutting tool directly affects the quality and efficiency of machining.In actual production line of flexible manufacturing and computer integrated manufacturing system,the threshold of every process should be reset in the condition of changing parameter drilling.For this problem,based on the power threshold monitoring,the model between power and processing parameters was established by using Adaptive Network-Based Fuzzy Inference System(ANFIS)and Support Vector Regression(SVR),which was used to update the threshold in real time and then compared with the actual cutting power for determining the state of drilling tools and executing the strategy of tool change.The development of Tool Condition Monitoring System(TCMS)was completed in Siemens Sinumerik 840Dsl,and the effectiveness of the proposed model in actually project was certified.

Key words: tool condition monitoring, power signal, drilling and dimpling tool, adaptive network-based fuzzy inference system, support vector regression