Analysis of acoustic emission amplitude parameters when increasing the machining depth of a composite
DOI:
https://doi.org/10.15587/1729-4061.2017.107368Keywords:
acoustic emission, composite material, signal amplitude, machining, statistical characteristics, cutting depthAbstract
Optimization and control of technological parameters in the machining of composite materials is an important task to ensure quality of the manufactured products. Studies are undertaken to solve the given problem using the method of acoustic emission. We considered procedure and results of experimental research into parameters of acoustic emission signals when changing the depth of composite machining. It was determined that increasing the depth of composite material machining did not not affect the character of acoustic radiation. Acoustic emission is continuous. However, there occurs an increase in the mean level of amplitude of the registered emission signal and the magnitude of its variability. We determined statistical amplitude parameters of acoustic emission signals at increasing the depth of composite machining. The data approximation was performed and the mathematical notation derived of the regularities at an increase in the mean level of amplitude, its standard deviation and variance with increasing machining depth. It was established that regularities of the increase in the amplitude parameters of acoustic emission signals were well described by nonlinear functions. It was determined that the most sensitive and informative parameter of the registered acoustic emission signals was a variance in the mean level of amplitudes.
It is shown that the percentage increase in the variance of the mean level of signal amplitude outpaces the percentage increase in the mean level of amplitude and its standard deviation. The obtained patterns could be used for the optimization of technological processes. When conducting machining ‒ to monitor, control and manage the depth of machining a composite with the assigned structure.
References
- Teti, R. (2015). Advanced IT Methods of Signal Processing and Decision Making for Zero Defect Manufacturing in Machining. Procedia CIRP, 28, 3–15. doi: 10.1016/j.procir.2015.04.003
- Ren, Q., Balazinski, M., Baron, L., Jemielniak, K., Botez, R., Achiche, S. (2014). Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling. Information Sciences, 255, 121–134. doi: 10.1016/j.ins.2013.06.010
- Dutta, S., Pal, S. K., Mukhopadhyay, S., Sen, R. (2013). Application of digital image processing in tool condition monitoring: A review. CIRP Journal of Manufacturing Science and Technology, 6 (3), 212–232. doi: 10.1016/j.cirpj.2013.02.005
- 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, 307–312.
- Andoh, P. Y., Davis, F., Owusu-Ofori, S. (2010). Development of a Control Strategy for Monitoring the Delaminating Damage in Drilling Of Carbon Composite Laminates. Journal of Science and Technology (Ghana), 30 (2). doi: 10.4314/just.v30i2.60536
- De Agustina, B., Marin, M., Teti, R., Rubio, E. (2014). Surface Roughness Assisted Polishing Evaluation Based on Acoustic Emission Signals in Robot. Sensors, 14 (11), 21514–21522. doi: 10.3390/s141121514
- Hase, A. (2013). Acoustic Emission Signal during Cutting Process on Super-Precision Micro-Machine Tool. Proceedings of Global Engineering, Science and Technology Conference, 1–12.
- 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, 394-1–394-6.
- Mukhopadhyay, C. K., Jayakumar, T., Raj, B., Venugopal, S. (2012). Statistical analysis of acoustic emission signals generated during turning of a metal matrix composite. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 34 (2), 145–154. doi: 10.1590/s1678-58782012000200006
- 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, 3 (3), 547–555.
- Ronald, B. A., Vijayaraghavan, L., Krishnamurthy, R. (2007). Studies on grooving of dispersion strengthened metal matrix composites. Materials forum, 31, 102–109.
- Thepsonthi, T. (2014). Modeling and optimization of micro-end milling process for micro-manufacturing. The State University of New Jersey, 246.
- Giriraj, B., Raja, V. P., Gandhinadhan, R., Ganeshkumar, R. (2006). Prediction of tool wear in high speed machining using acoustic emission technique and neural tenwork. Indian J. of Eng. and Mater. Sciences, 13, 275–280.
- Mokhtar, N., Ismail, I. Y., Asmelash, M., Zohari, H., Azhari, A. (2017). Analysis of acoustic emission on surface roughness during end milling. Journal of Engineering and Applied Sciences, 12 (4), 1324–1328.
- Filonenko, S. F. (2015). Infuencing processed composite material priperties on acoustic emission. Eastern-European Journal of Enterprise Technologies, 2 (5 (74)), 60–64. doi: 10.15587/1729-4061.2015.40191
- Filonenko, S. F., Nimchenko, T. V. (2015). Issledovanie vliyaniya glubiny rezaniya na amplitudnye harakteristiki akusticheskogo izlucheniya pri mekhanicheskoy obrabotke kompozicionnyh materialov. Strategiya kachestva v promyshlennosti i obrazovanii, 1, 134–139.
- Filonenko, S. (2016). Acoustic radiation energy at a variation of the composite mechanical destruction area. Proceedings of National Aviation University, 67 (2). doi: 10.18372/2306-1472.67.10429
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