Grinding performance and acoustic emissions of structured CVD diamond micro-grinding tools

被引:14
作者
Jia, Jianfei [1 ]
Guo, Bing [1 ,4 ]
Zhang, Qinghe [1 ]
Zhang, Zhongbo [1 ]
Guo, Zhenfei [1 ]
Meng, Qingyu [1 ]
Zhao, Qingliang [1 ]
Zhang, Quanli [2 ]
Zeng, Zhaoqi [3 ]
机构
[1] Harbin Inst Technol, Ctr Precis Engn, Sch Mechatron Engn, Harbin 15001, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Mech & Elect Engn, Nanjing 210016, Peoples R China
[3] Beijing Inst Control Engn, Beijing 100094, Peoples R China
[4] Harbin Inst Technol, PO Box 413, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
Acoustic emission; CVD diamond; Micro-grinding; Machine learning; LASER; FABRICATION; WHEELS; WEAR;
D O I
10.1016/j.jmatprotec.2023.118011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Micro-fabrication plays an increasingly important role in aerospace, biomedicine and other fields. CVD diamond has great application prospects in the preparation of micro-grinding tools due to its good wear resistance. In this work, the structured CVD diamond micro-grinding tool is proven to have better machining accuracy and wear resistance through the surface roughness and burr size after machining. According to the measured force signal results, the structured CVD diamond micro-grinding tool can reduce the axial force by 20% and the radial force by 10%. The reduction of the axial-to-radial force ratio proves that the structured CVD diamond micro-grinding tool has higher cutting efficiency. The relationship between acoustic emission signal characteristic value and surface roughness is determined by time domain analysis of acoustic emission. Through wavelet transform and machine learning, the wear degree of the common and structured CVD diamond micro-grinding tool is analyzed and predicted, and the accuracy rate is more than 99%.
引用
收藏
页数:15
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