摘要
目前陶瓷精密磨削中,声发射信号有效值RMS受背景噪声影响大,不能用来准确监测磨削接触。为此提出了利用小波重构声发射信号能量来监测金刚石砂轮与氧化锆陶瓷试件磨削接触的方法;并与磨削接触的背景噪声幅值判断和RMS值判断方法进行对比分析,发现小波重构声发射信号能量法不受机床背景噪声的影响,磨削接触判别更准确。
In present ceramics precision grinding,acoustic emission signal’s root-mean-square seriously influenced by background noise,such as machine tool movement and grinding fluid,and it can’t accurately monitor grinding contact between grinding wheel and ceramics workpiece. With partially stabilized zirconia as ex-periment material, the method of wavelet reconstruction acoustic emission signal energy was put forward to identify the grinding contact between diamond grinding wheel and partially stabilized zirconia. Compared to the methods by use of the background noises amplitude values and root-mean-square value of the grinding acoustic emission signals, the method can largely eliminate background noises such as machine tool and grinding fluid. Acoustic emission monitoring on grinding contact between diamond grinding wheel and partially stabilized zirconia is more accurate.
作者
郭力
郭君涛
霍可可
GUO Li;GUO Juntao;HUO Keke(College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082,CHN)
出处
《制造技术与机床》
北大核心
2019年第5期94-98,共5页
Manufacturing Technology & Machine Tool
基金
国家自然科学基金资助项目(51475157)
关键词
部分稳定氧化锆
磨削接触
声发射
小波分析
partially stabilized zirconia
grinding contact
acoustic emission
wavelet analysis