Monitoring of Burn Damage Occurrence under Different Grinding Conditions Using Acoustic Emission

Monitoring of Burn Damage Occurrence under Different Grinding Conditions Using Acoustic Emission

This paper presents the effects of the operating conditions (i.e. cutting speed and the amount of infeed) in grinding on the occurrence of thermal damage to the workpiece. The paper commences with a brief background to the analysis methods. Firstly, the AE signals detected under different operating conditions are analysed in time and frequency domains. It has been found that an increase in cutting speed or feed rate increases the strength of AE activity which is clearly reflected by the statistical parameter. Moreover, the cutting speed rather than the feed rate is more influential on the occurrence of burn damage. When the cutting speed is increased, the workpiece has been damaged severely and the AE content around 86kHz is significantly reduced.

___

  • Grote KH and Antonsson EK. Springer handbook of mechanical engineering. Springer-Verlag Berlin, Heidelberg, 2009.
  • Brian RW. Principles of modern grinding technology, second edition, Elsevier, 2014.
  • Dimla A and Dimla S. Sensor signals for tool-wear monitoring in metal cutting operations – a review of methods. Int J Mach Tools & Manuf 2000; 40: 1073-1098.
  • Lauro CH, Brandao LC, Baldo D, at al. Monitoring and processing signal applied in machining processes – A review. Measurement 2014; 58: 73–86.
  • Babel RJP. Acoustic emission spikes at workpiece edges in grinding: origin and applications. Master Thesis, McMaster University, Canada, 2011.
  • Han X and Wu T. Analysis of acoustic emission in precision and high-efficiency grinding technology. Int J Adv Manuf Technol 2013; 67: 1997–2006.
  • Karpuschewski B and Wehmeier M. Grinding monitoring system based on power and acoustic emission sensors. Ann CIRP 2000; 49(1): 235–240.
  • Plaza EG, Chen X, Ouarab LA, at al. Abrasive feature related acoustic emission in grinding. In: Proceedings of the 25th international conference on Automation & Computing. Lancaster UK, 5-7 September 2019, pp. 1-6.
  • Aguiar PR, Serni PJA, Bianchi EC, at al. In-process grinding monitoring by acoustic emission. In: IEEE International conference on acoustics, speech, and signal processing. Montreal, Quebec, Canada, May 17-21, 2004, pp. 405-408.
  • Yesilyurt I. Gearbox fault detection and severity assessment using vibration analysis. Ph. D. Thesis, University of Manchester, UK, 1997.