Skip to main navigation Skip to search Skip to main content

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

  • Jianfei Jia
  • , Bing Guo*
  • , Qinghe Zhang
  • , Zhongbo Zhang
  • , Zhenfei Guo
  • , Qingyu Meng
  • , Qingliang Zhao
  • , Quanli Zhang
  • , Zhaoqi Zeng
  • *Corresponding author for this work
  • School of Mechatronics Engineering, Harbin Institute of Technology
  • Nanjing University of Aeronautics and Astronautics
  • CAS - Beijing Institute of Control Engineering

Research output: Contribution to journalArticlepeer-review

Abstract

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%.

Original languageEnglish
Article number118011
JournalJournal of Materials Processing Technology
Volume318
DOIs
StatePublished - Sep 2023
Externally publishedYes

Keywords

  • Acoustic emission
  • CVD diamond
  • Machine learning
  • Micro-grinding

Fingerprint

Dive into the research topics of 'Grinding performance and acoustic emissions of structured CVD diamond micro-grinding tools'. Together they form a unique fingerprint.

Cite this