Laser-induced thermal damage detection in metallic materials via acoustic emission and ensemble empirical mode decomposition

Journal of Materials Processing Technology

Volumn 214, Issue 8, 2014, Pages 1617-1626

  Yang, Zhensheng ^a   Yu, Zhonghua ^b   Wu, Haixi ^b   Chang, Daofang ^a  

^a SHANGHAI MARITIME UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Acoustic emission; Ensemble empirical mode decomposition; Laser; Metallic materials; Thermal damage

Indexed keywords

DAMAGE DETECTION; FEATURE EXTRACTION; LASERS; RESIDUAL STRESSES; SENSORS;

ACOUSTIC EMISSION SENSORS; ACOUSTIC EMISSION SIGNAL; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITIONS (EEMD); FEATURE EXTRACTION TECHNIQUES; METALLIC MATERIAL; STRONG CORRELATION; THERMAL DAMAGE;

ACOUSTIC EMISSIONS;

EID: 84896971711     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2014.03.009     Document Type: Article

References (22)

1. E. Brinksmeier, C. Heinzel, and L. Meyer Development and application of a wheel based process monitoring system in grinding CIRP Annals-Manufacturing Technology 54 2005 301 304 (Pubitemid 40948462)
2. A. Brosse, P. Naisson, H. Hamdi, and J. Bergheau Temperature measurement and heat flux characterization in grinding using thermography Journal of Materials Processing Technology 201 2008 590 595
3. A.C. Curry, A.J. Shih, J. Kong, R.O. Scattergood, and S.B. McSpadden Grinding temperature measurements in magnesia-partially-stabilized zirconia using infrared spectrometry Journal of the American Ceramic Society 86 2003 333 341
4. D.L. Donoho De-noising by soft-thresholding IEEE Transactions on Information Theory 41 1995 613 627
5. J.M. Griffin, and X. Chen Multiple classification of the acoustic emission signals extracted during burn and chatter anomalies using genetic programming International Journal of Advanced Manufacturing Technology 45 2009 1152 1168
6. B. Griffiths Manufacturing Surface Technology: Surface Integrity and Functional Performance 1st ed. 2001 Penton Press London
7. N.E. Huang, Z. Shen, S.R. Long, M.C. Wu, H.H. Shih, Q. Zheng, N.C. Yen, C.C. Tung, and H.H. Liu The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 454 1998 903 999
8. J.S. Kwak, and M.K. Ha Neural network approach for diagnosis of grinding operation by acoustic emission and power signals Journal of Materials Processing Technology 147 2004 65 71
9. H. Kwon, W.K. Baek, M.S. Kim, W.S. Shin, and J.J. Yoh Temperature-dependent absorptance of painted aluminum, stainless steel 304, and titanium for 1.07 μm and 10.6 μm laser beams Optics and Lasers in Engineering 50 2012 114 121
10. H. Kwon, and J.J. Yoh Polarized reflectance of aluminum and nickel to 532, 355 and 266 nm nd:yag laser beams for varying surface finish Optics and Laser Technology 44 2012 1823 1828
11. A. Lefebvre, F. Lanzetta, P. Lipinski, and A. Torrance Measurement of grinding temperatures using a foil/workpiece thermocouple International Journal of Machine Tools and Manufacture 58 2012 1 10
12. Q. Liu, X. Chen, and N. Gindy Fuzzy pattern recognition of ae signals for grinding burn International Journal of Machine Tools and Manufacture 45 2005 811 818 (Pubitemid 40259559)
13. Q. Liu, X. Chen, and N. Gindy Investigation of acoustic emission signals under a simulative environment of grinding burn International Journal of Machine Tools and Manufacture 46 2006 284 292 (Pubitemid 41827902)
14. S. Malkin, and C. Guo Thermal analysis of grinding CIRP Annals-Manufacturing Technology 56 2007 760 782 (Pubitemid 350122468)
15. S. Santa-aho, M. Vippola, A. Sorsa, M. Lindgren, J. Latokartano, K. Leiviskä, and T. Lepistö Optimized laser processing of calibration blocks for grinding burn detection with barkhausen noise Journal of Materials Processing Technology 212 2012 2282 2293
16. G. Speich, and A. Schwoeble Acoustic emission during phase transformation in steel Monitoring Structural Integrity by Acoustic Emission 1975 40 58
17. Standard ASTM E837, Standard Test Method for Determining Residual Stresses by the Hole-Drilling Strain-Gage Method 2008
18. N. Subrahmanya, and Y.C. Shin Automated sensor selection and fusion for monitoring and diagnostics of plunge grinding Journal of Manufacturing Science and Engineering 130 2008 031014-1 031014-11
19. X. Wang, X. Lu, G. Chen, S.G. Hu, and Y. Su Research on the temperature field in laser hardening Optics and Laser Technology 38 2006 8 13 (Pubitemid 41252983)
20. Z. Wang, P. Willett, P.R. DeAguiar, and J. Webster Neural network detection of grinding burn from acoustic emission International Journal of Machine Tools and Manufacture 41 2001 283 309 (Pubitemid 32034815)
21. Z. Wu, and N.E. Huang A study of the characteristics of white noise using the empirical mode decomposition method Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences 460 2004 1597 2161
22. Z. Wu, and N.E. Huang Ensemble empirical mode decomposition: a noise-assisted data analysis method Advances in Adaptive Data Analysis 1 2009 1 41