Filonenko Sergey, National Aviation University (1 Kosmonavta Komarova Av., 03068 Kyiv, Ukraine)

Language: russian


Urgency of the research. The control and monitoring of cutting tool condition is one of the problems quality assurance items, which are produced by materials machining methods. The special value this problem has at composite materials machining, for which extremely dangerous are the surface defects.

Target setting. For solution this problem the different methods will be used, one of which is the acoustic emission method. However acoustic emission parameters depend on large number factors. For estimation of their influencing value have the analytical investigations with definition of acoustic emission parameters change legitimacies. The outcomes of such researches are the basis in mining verification and monitoring methods of composite materials machining technological processes.

Actual scientific researches and issues analysis. Many scientists from all over the world researches of influencing cutting tool wear on acoustic emission for solution the problem of quality assurance items at composite materials machining.

Uninvestigated parts of general matters defining. The most capacious parameters of acoustic radiation is the acoustic emission signals energy. Simulation of acoustic radiation energy at transition from normal to worn treating tool (from composite material) condition, definition influencing wear on acoustic emission signals energy parameters at composite materials machining introduces not only scientific, but also practical concern.

The research objective. In this paper, the researches of influencing treating tool wear from composite materials on acoustic radiation energy parameters are carried out at composite materials machining with not controlled cutting depth for a case of prevailing mechanical destruction its surface layer.

The statement of basic materials. The simulation of acoustic radiation energy at tool wear from composite material for a case of composite material machining with a not controlled cutting depth is conducted. It is shown, that the increasing of tool wear is accompanied by decreasing of acoustic radiation energy parameters. The statistical energy parameters of acoustic emission signals are determined at increasing of tool wear. It is shown, that the most sensing acoustic radiation energy parameter is the acoustic emission signals energy average level dispersion.


The researches have shown that the ascending of tool wear results in decreasing all acoustic emission energy parameters. However percentage decreasing of acoustic emission energy average level advances percentage decreasing of energy average level and its standard deviation. Such regularity is conditioned by that decreasing of acoustic emission energy parameters at decreasing the treated composite material destruction area advances ascending acoustic emission energy parameters at increase of treating composite material wear. The obtained outcomes can be used at mining verification, monitoring and control methods of composite materials machining technological processes.

Key words:

acoustic emission, composite material, energy, machining, wear, statistical characteristics


1. Chandrasekaran, M., Muralidhar, M., Murali Krishna, C., Dixit, U.S. (2010). Application of soft computing techniques in machining performance prediction and optimization: a literature review. International Journal of Advanced Manufacturing Technology, vol. 46, pp. 445–464.

2. Karimi, N.Z., Heidary, H., Minak, G., Ahmadi, M. (2013). Effect of the drilling process on the compression behavior of glass/epoxy laminates. Composite Structures, vol. 98, pp. 59–68.

3. Siddhpura, A., Paurobally, R. (2013). A review of flank wear prediction methods for tool condition monitoring in a turning process. International Journal of Advanced Manufacturing Technology, vol. 65, issue 1, pp.371–393.

4. Dutta, S., Pal, S.K., Mukhopadhyay, S., Sen, R. (2013). Application of digital image processing in tool condition monitoring: A review. Journal of Manufacturing Science and Technology, vol. 6, pp. 212–232.

5. Teti, R. (2015). Advanced IT Methods of Signal Processing and Decision Making for Zero Defect Manufacturing in Machining. Procedia CIRPvol. 28, pp. 3–15.

6. Fadare, D.A., Sales, W.F., Bonney, J., Ezugwu, E.O. (2012). Influence of cutting parameters and tool wear on acoustic emission signal in high-speed turning of Ti-6Al-4V Alloy. Journal of Emerging Trends in Engineering and Applied Sciences, vol. 3, issue 3, pp. 547–555.

7. Rimpaulta, X., Chatelainb, J.F., Klemberg-Sapiehac, J.E., Balazinski, M. (2016). Fractal analysis of cutting force and acoustic emission signals during CFRP machining. Procedia CIRP, vol. 46, pp. 143–146.

8. Prakash, M., Kanthababu, M., Gowri, S., Balasubramaniam, R., Jegaraj, J.R. (2014). Tool condition monitoring using multiple sensors approach in the microendmilling of aluminium alloy (AA1100). 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014) (12 -14 December, 2014, IIT Guwahati, Assam, India), pp. 394-1–394-6.

9. Chang, L.F., Lu, M.C., Chen, K.H., Wu, C.C. (2014). Development of Condition Monitoring System for Micro Milling of PZT Deposited Si Wafer. 9th international workshop on microfactories (IWMF2014, October 5-8, 2014, Honolulu, USA), pp. 139–145.

10. Giriraj, B. (2012). Prediction of progressive tool wear using acoustic emission technique and artificial neural network. Journal of Civil Engineering Science, vol. 1, issue 1-2, pp. 43–46.

11. Mukhopadhyay, C. K., Jayakumar, T., Raj, B., Venugopal, S. (2012). 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 2, pp. 145–154.

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

13. Filonenko, S. F. (2015). Vliyanie iznosa rezhushchego instrumenta pri kontroliruemoj glubine rezaniya na akusticheskuyu ehmissiyu [Influencing of cutting tool wearing at a controlled cutting depth on acoustic Emission]. Eastern European Journal of Enterprise Technologiesissue 6/9 (78), pp. 47–50 (in Russian).

14. Filonenko, S.F. (2016). Acoustic energy at controlled cutting depth of composite materialElectronics and Control Systems, issue 3(49), pp. 93–99.