Acoustic Emission Monitoring Technology Used in the Ceramics Grinding Cut Depth Control

Abstract:

Precision grinding on brittle materials accomplished without generating subsurface fracture damage is called ductile-regime grinding. The most important key point for maintaining a ductile material removal regime is to ensure that the cut depth made by grinding process does not exceed the critical cut depth. Through collecting and processing the acoustic emission(AE) signals generated by zirconia (PSZ) ceramic grinding tests, and analyzed the characteristics of AE signals under different grinding parameters. As a result of the experiments described in this paper, it can be concluded that AE signals measured during micro-grinding are sensitive to the changes of cut d- epths. The relationship between AE signals and material removal regime could lead to an in-process sensing strategy of the cut depths for ensuring grinding processes under ductile regime.

• Periodical: Applied Mechanics and Materials (Volume 103)
• Pages: 464-468
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.103.464
• Online since: September 2011
• Authors: Min Wang, Tao Zan, Lei Hu, Jian Zhong Hu, Xin Yun Zhang
• Keywords: Acoustic Emission (AE), Ceramic Grinding, Cut Depths, Ductile-Regime Grinding, Monitoring

References

[1] GuoLi, Acoustic emission experiment of high efficiency deep grinding with engineering ceramic materials, Journal of Hunan University of Arts and Science(Natural Science Edition) 2008-Vol 20-No 2.

[2] Bifano, T. G. and Y. Yi , Acoustic emission as an indicator of material-removal regime in glass micro-machining, Precision engineering , 1992. 10 VOL 14 NO 4.

DOI: 10.1016/0141-6359(92)90019-s

[3] Bifano, T. G., Dow, T. A. and Scattergood, R. O. Ductileregime grinding of brittle materials: experimental results and the development of a model, Proc SPIE 1988, 966, 108-115.

[4] ZanTao and WangMing, Research of the Identification of Diamond Dresser Blunt Using Wavelet Packet Decomposition and Support Vector Machine, , Machine Tool & Hydraulics, 2007-No 6.

[5] WANG Dong-lei; NIE Peng; WANG Zhe-feng; XU Tao, Selecting wavelet basis in wavelet transform analyses of cutting tool wear acoustic emission signal, China Measurement & Testing Technology, 2008-No6.

[6] Xu Hong'an Wang Min Xu Xiaoli and Fei Renyuan, Diamond Blunt Feature Extraction Based on Bispectrum Analysis of Acoustic Emission Signals, China Mechanical Engineering, 2005-No7.

[7] He Dongpu, Researching Actualities and Reducing Measures of Crack of Hard-brittle Materials Being Sawed and Grinded, Tool Engineering, 2010-No5.