Experimental acoustic emission signals at composite material machining

S. F. Filonenko, T. V. Nimchenko, O. V. Zaritskyi

Abstract


The results of acoustic emission signals experimental researches at composite material machiningare reviewed. It is shown, that the registered acoustic emission signal is a continuous signal withthe hardly bluffly form. The statistical acoustic emission amplitude parameters at increase of compositematerial machining speed are determined. It is shown, that the ascending of machining speed results inascending all acoustic emission amplitude parameters. However greatest ascending there is a dispersionof registered acoustic emission signal amplitude average level. The results of acoustic emission analyticalinvestigations at composite material machining for a prevailing mechanical destruction its surface layerare reviewed. It is shown, that the simulation results have a good coordination with the results of experimentalresearches

Keywords


Acoustic emission; composite material; signal; amplitude; machining; control; statistical characteristics

References


D. E. Lee, I. Hwang, C. M. O. Valente, J. F. G. Oliveira, and D. A. Dornfeld, “Precision manufacturing process monitoring with acoustic emission,” International Journal of Machine Tools & Manufacture, vol. 46, pp. 176–188, 2006.

R.Teti, K. Jemielniak, G. O’Donnell, and D. Dornfeld, “Advanced monitoring of machining operations,” CIRP Annals - Manufacturing Technology, vol.59, pp. 717–739, 2010.

I. S. Jawahir, E. Brinksmeier, R. M. Saoubi, D. K. Aspinwall, J. C. Outeiro, D. Meyer, D. Umbrello, and A. D. Jayal, “Surface integrity in materials removal processes: Recent advances,” CIRP Annals - Manufacturing technology, vol. 60, pp. 603–626, 2011.

A. Dhale and F. Khan, “Acoustic emission method for selection of optimum cutting parameters in turning using different fluids: A Review,” Int. J. of innovative research and development, vol. 2, issue 7, pp. 185–188, 2013.

M. S. H. Bhuiyan, I. A. Choudhury, and Y. Nukman, “An innovative approach to monitor the chip formation effect on tool state using acoustic emission in turning,” International Journal of Machine Tools & Manufacture, vol. 58, pp. 19–28, 2012.

A. J. Mian, “Size Effect in Micromachining”, A thesis submitted to the University of Manchester for the degree of doctor of philosophy (School of Mechanical, Aerospace and Civil Engineering In the Faculty of Engineering and Physical Sciences), 208 p., 2011.

K. Patra, “Acoustic Emission based Tool Condition Monitoring System in Drilling,” Proceedings of the World Congress on Engineering WCE 2011 (July 6-8, 2011, London, U.K.), vol. 3, 2011, pp. 2126–2130.

S. Devendiran and K. Manivannan, “Condition monitoring on grinding wheel wear using wavelet analysis and decision tree C4.5 algorithm,” International Journal of Engineering and Technology, vol. 5, issue 5, pp. 4010–4024, 2013.

P. Lu, K. Y. Chou, and R. G. Tomthpson, “Short- time Fourier transform method in AE signal analysis for diamond coating failure monitoring in machining application,” Proceedings of the ASME 2010 Int. Manufacturing Science and Engineering Conf. MSEC 2010 (12-15 October, 2010, Erie, Pennsylvania, USA), 2010, pp. 1–8.

F. Qin, J. Hu, Y. K. Chou, and R. G. Thompson, “Delamination wear of nano-diamond coated cutting tools in composite machining,” Wear, vol. 267, pp. 991–995, 2009.

A. J. Sudha, B. S. Sampathkumar, and C. A. Vijaya, “AE waveform analysis of delamination in GFRP composite materials during drilling,” International Journal of Engineering and Technology, vol. l, issue 1, pp. 63–66, 2009.

C. K. Mukhopadhyay, T. Jayakumar, B. Raj, and S. Venugopal, “Statistical Analysis of Acoustic Emission Signals Generated During Turning of a Metal Matrix Composite,” J. of the Braz. Soc. of Mech. Sci. and Eng, vol. 34, issue, pp. 145–154, 2012.

S. F. Filonenko and T. V. Nimchenko, “Acoustical emission at machining of materials by turning,” Technological systems, issue 3 (56), pp. 50–56, 2011.

S. F. Filonenko, T. V. Nimchenko, and T. N. Kositskaya, “Acoustic emission at change of speed of machining materials by turning,” Technological systems, issue 2(59), pp. 80–88, 2012.

S. Sundaram, P. Senthilkumar, A. Kumaravel, and N. Manoharan, “Study of flank wear in single point cutting tool using acoustic emission sensor techniques,” Journal of Engineering and Applied Sciences, vol. 3, issue 4, pp. 32–36. 2008.

S. F. Filonenko, T. V. Nimchenko, and A. P. Kosmach, “Model of acoustic emission signal at the prevailing mechanism of composite material mechanical destruction,” Aviation, vol. 14, issue 4, pp. 95–103, 2010.


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