摘要
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 monitor and diagnose the wear degree and failure state of tools accurately in the process of cutting. The thermal infrared imager was used to test and extract the infrared characteristic. The temperature field and flash temperature characteristics were analyzed under different wear degree of the tools. The infrared signature database of the tool wear and failure is established by using minimum fuzzy membership optimization model to diagnose the tool wear and failure state. The result of the experiment shows that the recognition error of tools are small. It proves that the method can realize the accurate diagnosis to the state of the tool wear and failure. It ＇ s important to improve the efficiency and precision of the machine.
出处
《机械设计与研究》
CSCD
北大核心
2017年第3期142-146,共5页
Machine Design And Research
基金
辽宁省自然科学基金资助项目(201601324)
材料腐蚀与防护四川省重点实验室开放基金(2014CL18)
辽宁省优秀人才支持计划(LJQ2014036)资助项目
中煤能源重点科技项目(13-8)
关键词
刀具
红外热像
闪温
磨损
失效
模糊隶属度
tool
infrared thermal image
flash temperature
abrasion
failure
fuzzy membership
