摘要
间隙放电状态检测是电火花加工过程中重要的一个环节,它的性能直接影响加工过程的稳定性.针对电火花间隙放电状态检测的问题,总结了电火花间隙放电状态检测的研究现状.介绍了电火花间隙放电状态的分类和特征,论述了基于间隙脉冲的传统识别方法和人工智能识别方法,指出各自的特点和存在的问题,并对放电状态检测技术的发展方向进行了展望.
Gap discharge status detection is an extremely important aspect in the EDM process, and its per- formance directly affects the machining stability. Aiming at the EDM gap discharge state detection, this paper com- prehensively and systematically concluded the research status of the EDM gap discharge status detection. The clas- sifications and characteristics of EDM dischargegaps, and the traditional recognition methods based on the gap pulse and artificial intelligence recognition methods are introduced, pointing out their own characteristics and prob- lems. Finally, the development trends of EDM discharge state detection technology are prospected.
出处
《哈尔滨理工大学学报》
CAS
2012年第3期100-104,共5页
Journal of Harbin University of Science and Technology
基金
国家自然科学基金(50975069)
高等学校博士学科点专项科研基金(20092303110001)
黑龙江省教育厅科学技术研究项目(11541058)
哈尔滨理工大学青年拨尖人才培养计划
关键词
电火花加工
间隙检测
放电状态
传统检测方法
智能检测方法
EDM
gap detection
discharge status
traditional recognition methods
intelligent recognition methods
