MUTUAL CHANGE OF ACOUSTIC EMISSION STATISTICAL ENERGY PARAMETERS AT TREATING TOOL WEAR
DOI:
https://doi.org/10.18372/1990-5548.62.14389Keywords:
Аcoustic emission, acoustic radiation energy, machining, statistical energy parameters, tool wearAbstract
The results of experimental studies of acoustic radiation energy during processing tool wear are considered. The regularities of acoustic emission signal statistical energy parameters changes at normal and catastrophic processing tool wear are determined. It is revealed that the regularities of change in the statistical energetic parameters of acoustic emission signals do not observe a characteristic features of the change which are associated with the appearance of a certain type of tool wear. The regularities of experimental acoustic emission signal statistical energy parameters mutual change during normal and catastrophic processing tool wear are determined. It is shown that the ratio of the acoustic emission signal average energy level to the average energy level standard deviation at a given analysis interval is a sensing parameters to the mechanisms and stages of cutting tool wear during materials machining.
References
P. Kovač, I. Mankova, M. Gostimirović, M. Sekulić, and B. Savković, “A review of machining monitoring systems,” Journal of production engineering, vol. 14, no. 1, pp. 1–6, 2011.
P. Stavropoulosa, D. Chantzisa, C. Doukasa, A. Papacharalampopoulosa, and G. Chryssolouris, “Monitoring and control of manufacturing processes: A review,” Procedia CIRP, vol. 8, pp. 421–425, 2013. https://doi.org/10.1016/j.procir.2013.06.127.
A. Rai, and S. K. Ganguly, “Monitoring and Control of Machining Process: A Review,” Research Journal of Engineering, vol. 5(5), pp. 31–36.
T. Wijaya, W. Caesarendra, T. Tjahjowidodo, B. K. Pappachan, A. Wee, and M. I Roslan, “A Review on Sensors for Real-time Monitoring and Control Systems on Machining and Surface Finishing Processes,” MATEC Web of Conferences, vol. 159, no. 02034, 2018, 6 p. https://doi.org/10.1051/matecconf/201815902011
M. Hassan, A. Sadek, M. H. Attia, and V. Thomson, “Intelligent machining: real-time tool condition monitoring and intelligent adaptive control systems,” Journal of Machine Engineering, vol. 18, no. 1, pp. 5–17, 2018. https://doi.org/10.5604/01.3001.0010.8811
C. K. Mukhopadhyay, T. Jayakumar, B. Raj, and S. Venugopal, “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, 2012. https://doi.org/10.1590/S1678-58782012000200006
D. A. Fadare, W. F. Sales, J. Bonney, and E. O. Ezugwu, “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, 2012.
O. A. Olufayo and K. Abou-El-Hossein, “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), 2013, pp. 307–312.
Y. Wei, Q. An, X. Cai, M. Chen, and W. Ming, “Influence of Fiber Orientation on Single-Point Cutting Fracture Behavior of Carbon-Fiber/Epoxy Prepreg Sheets,” Materials, no. 8, 2015, pp. 6738–6751. https://doi.org/10.3390/ma8105336
N. Mokhtar, I. Y. Ismail, M. Asmelash, H. Zohari, and A. Azhari, “Analysis of acoustic emission on surface roughness during end milling,” ARPN Journal of Engineering and Applied Sciences, vol. 12, no. 4, pp. 1324–1328, 2017.
S. J. Ha, B. C. Shin, M. W. Cho, K. J. Lee, and W. S. Cho, “High speed end-milling characteristics of pre-sintered Al2O3/Y-TZP ceramic composites for dental applications,” Journal of the Ceramic Society of Japan, vol. 118, no. 11, pp. 1053–1056, 2010. https://doi.org/10.2109/jcersj2.118.1053
P. Kulandaivelu, P. S. Kumar, and S. Sundaram, “Wear monitoring of single point cutting tool using acoustic emission techniques,” Sādhanā, vol. 38, Part 2, pp. 211–234, 2013. https://doi.org/10.1007/s12046-013-0130-8
G. Vetrichelvan, S. Sundaram, S. S. Kumaran, P. Velmurugan, “An investigation of tool wear using acoustic emission and genetic algorithm,” Journal of Vibration and Control, vol. 21, no. 15, pp. 3061–3066, 2015. https://doi.org/10.1177/1077546314520835
X. Rimpault, J. F. Chatelain, J. E. Klemberg-Sapieha, M. Balazinski, “Fractal analysis of cutting force and acoustic emission signals during CFRP machining,” Procedia CIRP, vol. 46, pp. 143–146, 2016. https://doi.org/10.1016/j.procir.2016.03.171
D. Kong, Y. Chen, N. Li, and S. Tan, “Tool wear monitoring based on kernel principal component analysis and v-support vector regression, The International Journal of Advanced Manufacturing Technology, vol. 89, no. 1–4, pp. 175–190, 2017. https://doi.org/10.1007/s00170-016-9070-x
A. Caggiano, “Tool Wear Prediction in Ti-6Al-4V Machining through Multiple Sensor Monitoring and PCA Features Pattern Recognition,” Sensors, vol. 18, no. 823, 14 p. https://doi.org/10.3390/s18030823
S. F. Filonenko, “The effect of wear of a cutting tool with a controlled depth of cut on the acoustic emission,” Eastern European Journal of Enterprise Technologies, vol. 6, no. 9, pp. 47–50, 2015. https://doi.org/10.15587/1729-4061.2015.56871
S. F. Filonenko, “Acoustic energy at controlled cutting depth of composite material,” Electronics and Control Systems, no. 3(49), pp. 93–99, 2016. https://doi.org/10.18372/1990-5548.49.11244
S. Filonenko, “Acoustic emission at treating tool wear with a not controlled cutting depth,” Proceedings of the National Aviation University, no. 1(70), 2017, pp. 90–97. https://doi.org/10.18372/2306-1472.70.11426
S. Filonenko, “Acoustic emission energy parameters at composite tool wear with a not controlled cutting depth,” Technical science and technologies, no. 1(7), pp. 24–32, 2017. https://doi.org/10.25140/2411-5363-2017-1(7)-24-32
Downloads
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
