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为了实现切削加工过程中刀具磨损程度及失效状态的精确监测与诊断,采用红外热像仪测试、提取刀具加工过程中的红外特征,分析刀具不同磨损程度状态下的温度场及闪温特征,建立刀具磨损及失效的红外信号特征数据库,基于最小模糊度的隶属度函数优化模型诊断刀具磨损及失效状态。实验结果表明,刀具识别误差较小,表明此方法可以实现对刀具磨损及失效状态的实时、精确诊断,对提高机床的工作效率及加工精度具有重要意义。
In order to realize accurate monitoring and diagnosis of tool wear degree and failure state in cutting process, infrared imager was used to extract the infrared characteristics of tool machining process. The temperature field and flash temperature characteristics under different wear degrees were analyzed. Tool wear and failure of the infrared signal feature database, based on the minimum degree of fuzzy membership function optimization model to diagnose tool wear and failure status. The experimental results show that the tool identification error is small, which shows that this method can realize the real-time and accurate diagnosis of the tool wear and failure status, and is of great significance to improve the work efficiency and machining accuracy of the machine tool.