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作 者:吕长飞[1,2] 吴小玉[1] 王茵 郑继明[2] LV Changfei;WU Xiaoyu;WANG Yin;ZHENG Jiming(School of Mechanical & Electrical Engineering,Guizhou Normal University,Guiyang Guizhou 550025,China;The Key Lab of Mechanical and Control Simulation,Guizhou Normal University,Guiyang Guizhou 550025,China;Department of Mechanical and Electronic Engineering,Guizhou Polytechnic College of Communications,Guiyang Guizhou 550008,China)
机构地区:[1]贵州师范大学机械与电气工程学院,贵州贵阳550025 [2]贵州师范大学机械与控制仿真重点实验室,贵州贵阳550025 [3]贵州省交通职业技术学院机械电子工程系,贵州贵阳550008
出 处:《机床与液压》2019年第8期166-168,66,共4页Machine Tool & Hydraulics
基 金:贵州省科学技术基金项目(黔科合LH字[2017]7350号);贵州省普通高等学校精密复合加工装备技术工程中心(黔教合KY字[2014]223)
摘 要:磨削颤振是影响加工质量和加工效率的重要因素,常需增加多个后续加工周期来满足加工质量的要求。采用涡流传感器、磨削力传感器、声发射传感器、加速度传感器和接触探头等多传感器对砂轮边沿的自激振荡进行测量,对自激振荡信号,提出采用幅值法和小波分析法进行分析处理,实现了磨削颤振的自动监测和预测,减少了加工周期,提高了加工效率。Grinding chatter is an important factor affecting machining quality and machining efficiency. It is often necessary to add multiple subsequent processing cycles to meet the processing quality requirements. The self-excited oscillation of the grinding wheel edge was measured by multi-sensors such as eddy current sensor, grinding force sensor, acoustic emission sensor, acceleration sensor and contact probe. The self-excited oscillation signal was analyzed by amplitude method and wavelet analysis method. Automatic monitoring and prediction of grinding flutter is realized, which reduces the processing cycle and improves the processing efficiency.
分 类 号:TG580.6[金属学及工艺—金属切削加工及机床]
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