INFORMATIVE OF EXPERIMENTAL ACOUSTIC EMISSION SIGNALS PARAMETERS IN TECHNOLOGICAL PROCESSES MACHINING COMPOSITE

Authors

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

DOI:

https://doi.org/10.18372/2306-1472.75.13118

Keywords:

Acoustic emission, composite, energy, machining, parameters, signal

Abstract

Purpose: The aim of this article is the experimental study of machining composite speed effect on the acoustic emission energy parameters. Methods: The studies were based on the recording and processing of experimental acoustic emission signals during the composite material machining. The statistical processing of experimental acoustic emission signals with an analysis of the acoustic radiation energy parameters was made. The analysis of acoustic emission statistical energy parameters regularities change and their sensitivity to machining composite speed changes was made, as well as a comparison sensitivity of acoustic radiation energy and amplitude parameters. Results: Is obtained, that at composite machining speed ascending there is increasing of experimental acoustic emission signals energy average level and value of its spread. Thus the greatest increasing is watched in acoustic radiation energy average level dispersion. Is determined, that the experimental acoustic emission signals statistical energy parameters have not linear nature of ascending. The ascending of experimental acoustic emission signals energy parameters advances ascending their amplitude parameters. Discussion: The experimental researches of acoustic radiation energy parameters at ascending of composite machining speed are conducted. The statistical data processing has shown, that a regularity of acoustic radiation signal energy average level ascending, its standard deviation and the dispersions are well described by exponential functions. Thus is shown, that the greatest sensitivity to ascending of composite machining speed there is the experimental acoustic emission signals energy average level dispersion. A comparison of acoustic emission amplitude and energy parameters has shown, that the percentage increment of experimental signals energy average level dispersion advances a percentage increment of energy average level and its standard deviation, and as increment of all acoustic radiation statistical amplitude parameters The outcomes of the conducted researches can be used at the decision some problems: optimization of machining process parameters; development of methods verification, monitoring and control the technological processes parameters.

Author Biographies

Sergii Filonenko, National Aviation University

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

PhD Engineering, Doctoral

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

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

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

References

Botsaris P.N., Tsanakas J.A. (2008) State-of-the-art in methods applied to tool condition monitoring (TCM) in unmanned machining operations: A review. Proceedings of the 21st International Congress & Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2008). (11-13 June, 2008, Prague, Czech Republic), pp. 73-87.

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.

Piljek P., Keran Z., Math M. (2014) Micromachining – review of literature from 1980 to 2010. Interdisciplinary Description of Complex Systems, vol. 12(1), pp.1-27.

Rizal M., Ghani J.A., Nuawi M.Z., Haron C.H.C. (2014) A Review of Sensor System and Application in Milling Process for Tool Condition Monitoring. Research Journal of Applied Sciences, Engineering and Technology, vol. 7(10), pp.2083-2097.

Bhuiyan M.S.H., Choudhury I.A. (2014) Review of Sensor Applications in Tool Condition Monitoring in Machining. Comprehensive Materials Processing, vol. 13, pp.539–569.

Mokhtar N., Ismail I.Y., Asmelash M., Zohari H., Azhari A. (2017) Analysis of acoustic emission on surface roughness during end milling. ARPN Journal of Engineering and Applied Sciences, vol. 12, no 4, pp.1324-1328.

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

Ronald B.A., Vijayaraghavan L., Krishnamurthy R. (2007) Studies on grooving of dispersion strengthened metal matrix composites. Materials forum, vol. 31, pp.102-109.

Wei Y., An Q., Cai X., Chen M., Ming W. (2015) Influence of Fiber Orientation on Single-Point Cutting Fracture Behavior of Carbon-Fiber/Epoxy Prepreg Sheets. Materials, vol. 8, pp.6738–6751.

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

Hase A. (2013) Acoustic Emission Signal during Cutting Process on Super-Precision Micro-Machine Tool. Proceedings of Global Engineering, Science and Technology Conference (3-4 October, 2013, Bay View Hotel, Singapore), pp.1-12.

Filonenko S. F., Nimchenko T.V., Zaritskyi O.V. (2017) Experimental acoustic emission signals at composite material machining. Electronics and Control Systems, nо 1(51), pp.97-104.

Filonenko S. F. (2015) Simulation of аcoustic radiation energy at composite mechanical destruction surface layer. Electronics and Control Systems, nо 4(46), pp.90-96.

Filonenko S. F. (2016) Simulation of legitimacies acoustic radiation energy change for the control of composite machining process. Electronics and Control Systems, nо 1(47), pp.97-101.

Filonenko S. F., Zaritskyi O.V. (2017) Influencing of composite machining speed on experimental regularity of acoustic emission amplitude parameters change. Electronics and Control Systems, nо 3(53), pp.88-94.

Published

13-11-2018

How to Cite

Filonenko, S., & Zaritskyi, O. (2018). INFORMATIVE OF EXPERIMENTAL ACOUSTIC EMISSION SIGNALS PARAMETERS IN TECHNOLOGICAL PROCESSES MACHINING COMPOSITE. Proceedings of National Aviation University, 75(2), 51–59. https://doi.org/10.18372/2306-1472.75.13118

Issue

Section

MODERN AVIATION AND SPACE TEHNOLOGY