教授 博士生导师 硕士生导师
性别: 男
毕业院校: 大连理工大学
学位: 博士
所在单位: 机械工程学院
学科: 机械制造及其自动化
办公地点: 知方楼5130
联系方式: 15998535043
电子邮箱: zhuxianglong@dlut.edu.cn
邮箱 : zhuxianglong@163.com
QQ : 25687645
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论文类型: 会议论文
发表时间: 2016-10-02
收录刊物: EI、Scopus
卷号: 874
页面范围: 79-84
摘要: Wheel setting is difficult in a grinding process and may directly apply a negative impact on grinding accuracy and efficiency. This study presents a novel method for grinding wheel setting based on acoustic emissions. The method experimentally detects the acoustic emission (AE) signals that come from the touch-down of the grinding wheel with the workpiece. The experimental results show that the measured AE signals monotonically increase with grinding depth and can be used for detection of wheel setting in a grinding process with a detection accuracy better than 0.5 m. ? 2016 Trans Tech Publications, Switzerland.