• Sergii Filonenko National Aviation University
  • Oleg Zaritskyi National Aviation University



Acoustic emission, amplitude, composite material, machining, statistical characteristics wear


Purpose: The aim of this article is the experimental research of acoustic emission at composite material machining with the analysis of influencing treating tool wear from composite material on registered signals parameters. Methods: In the basis of researches lies the processing and analysis of interconnection experimental acoustic emission signals parameter, which one appear at composite material machining, with treating tool wear. The acoustic emission at initial and final stage of composite material machining are esteemed. The statistical processing of acoustic emission amplitude parameters on these stages was conducted. The statistical data processing with the analysis regularity change of acoustic emission signals amplitudes distribution kurtosis is conducted. Results: Is determined, that the increase of composite material machining time does not result in change of acoustic radiation nature. The registered acoustic emission signals are continuous signals. Is established, that at composite material machining final stage is watched decreasing of acoustic emission signal amplitude average level and value of its deviation. Is determined, that the gradual or instantaneous increase of treating tool wear results in its destruction and sharp decreasing of acoustic emission signal amplitude. The regularity change of acoustic emission signals amplitudes distribution kurtosis at all stages of composite material machining is established. Discussion: The analysis of acoustic emission statistical amplitude parameters change at initial and final stage composite material machining is conducted. Decreasing of acoustic emission statistical amplitude parameters at final stage of machining is shown, that is conditioned by treating tool wear. It is shown, that originating and development of treating tool wearing up to an instant of its damage results in minor decreasing of acoustic emission signal amplitude average level. At the same, at early stage, which one will precede to tool damage, there is a discontinuous of acoustic emission signals amplitudes distribution kurtosis change from stable positive value up to negative value. At the moment of tool disastrous damage the nature of acoustic emission signals amplitudes distribution kurtosis change varies on inverse. Such change of acoustic emission parameters, apparently, is conditioned by originating the processes leading to tool destruction, and, as a consequent, change of treating and treated composite materials conditions interplay. The obtained outcomes have shown that the processing and analysis of regularity of acoustic emission signals amplitudes distribution kurtosis change can be utilized for control of composite materials technological process machining. Thus it is possible to determine and control the moment of processes originating incipient state, which one conduct to destruction of the treating tool.

Author Biographies

Sergii Filonenko, National Aviation University

Filonenko Sergii. Doctor of Engineering. Professor.

Director of the Institute of Information-Diagnostic Systems, National Aviation University, Kyiv, Ukraine.

Education: Kyiv Polytechnic Institute, Kyiv, Ukraine (1977).

Research area: diagnostics of technological processes and objects, automatic diagnostic systems.

Oleg Zaritskyi, National Aviation University

Zaritskyi Oleg. PhD Engineering, Doctoral

Institute of informational–diagnostic systems, National Aviation University, Kyiv, Ukraine.

Education: Kyiv Institute of Air Forces, Kyiv, Ukraine (1996).

Research interests: control system, expert systems, information technologies.


Kovač P., Mankova I., Gostimirović M.,. Sekulić M, Savković B. (2011) А review of machining monitoring systems.Journal of production engineering, vol.1, no1, pp.1–6.

Dongre P.R., Chiddarwar S.S., Deshpande V. S. (2013) Tool Condition Monitoring In Various Machining Operations & Use of Acoustic Signature Analysis. International Journal on Mechanical Engineering and Robotics (IJMER), vol.1, no1, pp.34–38

Huo P., Zhang M., Gao L., Li R. (2014) On-Line Tool Condition Detection Based on Acoustic Signal. International Journal of Applied Science and Technology, vol. 4, no4, pp.202–207.

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

Chandrasekaran M., Muralidhar M., Krishna C.M., Dixit U. S. (2009) 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.

Olufayo O.A., Abou-El-Hossein K., van Niekerk T. (2011) Tool Wear Monitoring Using Acoustic Emission. 4th Robotics and Mechatronics Conference of South Africa (ROBMECH 2011) (23-25 November 2011, CSIR Pretoria, South Africa), pp.1–6.

Roth J.T., Djurdjanovic D., Yang X., Mears L., Kurfess T. (2010) Quality and Inspection of Machining Operations: Tool Condition Monitoring. Journal of Manufacturing Science and Engineering, vol.132, pp.041015-1 – 041015–16.

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.

Lu P. (2013) An investigation into interface behavior and delamination wear for diamond-coated cutting tools. A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the department of mechanical engineering in the Graduate School of the University of Alabama, 155 р.

Prakash R., Krishnaraj V., Zitoune R., Sheikh-Ahmad J. (2016) High-Speed Edge Trimming of CFRP and Online Monitoring of Performance of Router Tools Using Acoustic Emission. Materials, vol. 9, no 798, pp.1-16.

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.

Olufayo O. A., Abou-El-Hossein K. (2013) Acoustic Emission Monitoring in Ultra-High Precision Machining of Rapidly Solidified Aluminium. PROCEEDINGS International Conference on Competitive Manufacturing (Coma ’13, 30 January – 1 February 2013 Stellenbosch, South Africa), pp. 307-312

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, no 3, pp.547–555

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. no.2, pp.145–154

Filonenko S.F. (2015) Vliyanie iznosa rezhuschego instrumenta pri kontroliruemoy glubine rezaniya na akusticheskuyu emissiyu [Influencing of cutting tool wearing at a controlled cutting depth on acoustic emission]. Vostochno-evropeyskiy zhurnal peredovyih tehnologiy, vol. 6, no 9(78), pp.47–50.

Filonenko S. F. (2016) Acoustic energy at controlled cutting depth of composite material. Electronics and Control Systems, no. 3(49), pp. 93–99.

Filonenko S. F. (2017) Acoustic emission at treating tool wear with a not controlled cutting depth. Proceedings of the National Aviation University, vol.70, no.1, pp.90–97.



How to Cite

Filonenko, S., & Zaritskyi, O. (2017). THE CONTROL OF INCIPIENT STATE TREATING TOOL WEAR WITH USAGE OF ACOUSTIC EMISSION. Proceedings of National Aviation University, 71(2), 57–64.