Surface Roughness Prediction Model of Cylinder Grinding

摘要：

Based on the theory of roughness during cylinder grinding and the theory of fuzzy-neural network, a surface roughness intelligent prediction model is developed in this paper. The feed, speed, and the vibration data are the inputs for the model. An accelerometer is used to gather the vibration signal in real time. The model is used in the grinding experiment, and verifies the feasibility of the proposed model.

关键词： grinding surface roughness prediction fuzzy neural network vibration

作者: Ning Ding Yichen Wang Dingtong Zhang Yuxiang Shi Jian Shi

作者单位: Mechanical Engineering college, Changchun University, Changchun 130022, China School of Biological and Agricultural Engineering, Jilin University, Changchun 130021, China Jilin Province Agriculture Machine Research Institute, Changchun 130023, China Mechanical Engineering college, Changchun University of Science and Technology, Chungchun 120032, Ch

会议类型: 国际会议

会议名称: 2011 International Conference on Mechatronics and Applied Mechanics(2011年机电一体化与应用力学国际会议 ICMAM 2011)

会议地点: 香港

会议语种:英文

页码: 123-126

在线出版日期: 2011-12-27（万方平台首次上网日期，不代表论文的发表时间）