Mechanical and thermal behaviours of grinding acoustic emission

Grinding burn is a common phenomenon of thermal damage that has been one of the main constraints in grinding in respect of high efficiency and quality. Many attempts have tried to utilise Acoustic Emission (AE) technique for identifying grinding burn. However, the AE features of grinding burn are relatively weak and easily merged by other AE sources. This paper presents an investigation of the AE features in terms of grinding mechanical and thermal behaviour. A series tests of single grit scratching, tension testing and laser irradiation were carried out to simulate grinding process in order to separate the mechanical and thermal characteristics of grinding acoustic emission. By means of the Wavelet Packet Transform (WPT), AE features that represent grinding burn temperature can successfully be extracted. These AE footprint features can provide a firm foundation for monitoring and analysing grinding burn.

[1]  W. B. Rowe,et al.  CHARACTERIZATION OF THE SIZE EFFECT IN GRINDING AND THE SLICED BREAD ANALOGY , 1997 .

[2]  W. Staszewski,et al.  Wavelet Signal Processing of Acoustic Emission Data , 2001 .

[3]  Ioan D. Marinescu,et al.  Acoustic emission for process control and monitoring of surface integrity during grinding , 1994 .

[4]  Xun Chen,et al.  Analysis of the transitional temperature for tensile residual stress in grinding , 2000 .

[5]  Xiaoli Li,et al.  A brief review: acoustic emission method for tool wear monitoring during turning , 2002 .

[6]  J. C. Jaeger,et al.  Conduction of Heat in Solids , 1952 .

[7]  W. Steen Laser Material Processing , 1991 .

[8]  K. Holford Acoustic Emission–Basic Principles and Future Directions , 2000 .

[9]  Qiang Liu,et al.  Fuzzy pattern recognition of AE signals for grinding burn , 2005 .

[10]  Peter Willett,et al.  Neural network detection of grinding burn from acoustic emission , 2001 .

[11]  Eugène Dieulesaint,et al.  Elastic Waves in Solids II , 2000 .

[12]  Xiaoli Li,et al.  Wavelet analysis of acoustic emission signals in boring , 2000 .

[13]  R. Piotrkowski,et al.  Monitoring of the tool condition with acoustic emission signal analysis using wavelet packets , 2002 .

[14]  D. J. Johns,et al.  Thermal stress analysis , 1965 .

[15]  João Fernando Gomes de Oliveira,et al.  Production grinding burn detection using acoustic emission and electric power signals , 1999 .

[16]  S. Mallat A wavelet tour of signal processing , 1998 .