ACOUSTIC EMISSION MODEL WITH THERMOACTIVATIVE DESTRUCTION OF COMPOSITE MATERIAL SURFACE
DOI:
https://doi.org/10.18372/2306-1472.66.9879Keywords:
acoustic emission, amplitude, composite material, energy, machining, resultant signal, statistical characteristicsAbstract
Modeling of acoustic emission energy during the composite material machining for termoactivativemodel of acoustic radiation is simulated. The regularities of resultant signals energy parameters change dependingon composite materials machining speed are determined. Obtained regularities with their statistical characteristicsare described. Sensitivity of acoustic emission energy parameters to the change of composite material machiningspeed is shown.References
Teti, R.; Jemielniak, K.; O’Donnell, G.; Dornfeld, D. Advanced monitoring of machining operations. CIRP Annals – Manufacturing Technology. – 2010. – v.59. – P.717–739
Dongre, P.R.; Chiddarwar, S.S.; Deshpande, V. S. Tool Condition Monitoring In Various Machining Operations Use of Acoustic Signature Analysis. Int. J. on Mechanical Engineering and Robotics. – 2013. – V.1. – No1. – P.34–38
Jaber, A. A.; Bicker, R. The State of the Art in Research into the Condition Monitoring of Industrial Machinery. Int. J. of Current Engineering and Technology. – 2014. – v.4. – No.3. – P.1986-2001
Qin, F.; Hu, J.; Chou, Y.K.; Thompson, R.G. Delamination wear of nano-diamond coated cutting tools in composite machining. Wear. – 2009. – v. –267. – Р. 991–995
Sudha, A. J.; Sampathkumar, B. S.; Vijaya, C.A. AE waveform analysis of delamination in GFRP composite materials during drilling. Int. J. of Engineering and Technology. – 2009. – V.1. – No.1. – Р.63–66.
Neslušan, M.; Šipek, M.; Mrazik, J. Analysis of chip formation during hard turning through acoustic emission. Materials Engineering. – 2012. – V.19. – Р. 1–11
Kulandaivelu, P.; Kumar, P. S.; Sundaram, S. Wear monitoring of single point cutting tool using acoustic emission techniques. Sadhana. – 2013. – V.38, Part 2. – P.211–234.
Bhuiyan, M.S.H.; Choudhury, I.A.; Nukman, Y. An innovative approach to monitor the chip formation effect on tool state using acoustic emission in turning. Int. J. of Machine Tools & Manufacture. – 2012. – V.58. – P.19–28
Lu, P.; Chou, Y. K.; Tomthpson, R.G. Shorttime Fourier transform method in AE signal Analysis for diamond coating failure Monitoring in Machining applications. Proceedings of the ASME2010 Manufacturing Science and Technology MSEC2010 (12–15 October 2010, Erie, Pennsylvania, USA). – P.1–10.
Mcleay, T.; Turner, M. S. Failure Mode Analysis to Define Process Monitoring Systems. J. of Machine Eng. – 2011. – V.11. – No.4. – P.118–129
Mathew, M.T.; Pai, P.S.; Rocha, L.A. An effective sensor for tool wear monitoring in face milling: Acoustic emission. Sadhana.-2008.-v.33, Part 3/-P. 227–233.
Dhale, A.; Khan, F. Acoustic emission method for selection of optimum cutting parameters in turning using different fluids: A Review. Int. J. of innovative research and development. – 2013. – V.2. – No7. – P.185–188
Filonenko, S. Acoustic emission model with thermoactivative destruction of composite material surface. Proceedings of the National Aviation University. – 2015. – N1 (62). – P. 53–58
Filonenko, S. Acoustic emission at alteration of composite materials machining speed. Technological systems. – 2015. – №2(71). – P.68–74
