Selection of informative acoustic emission parameters for determining the wear rate of woodworking equipment in transient modes
DOI:
https://doi.org/10.31891/2079-1372-2025-115-1-108-115Keywords:
tribosystem; speeds wear and tear; acoustic emission; power acoustic radiation; transient processes; woodworking equipment; working out.Abstract
The directions of application of the acoustic emission method for the study of transient processes in tribosystems are considered. woodworking equipment during running-in. The use of this method will allow obtaining information about the condition of friction surfaces and the wear rate during transient processes (running-in) in online mode. To justify choice informative AE parameters analyzed the type of AE - signal frames captured during the transition process at characteristic points. It is shown that when evaluating speed wear in transient modes is best use acoustic emission power radiation. After completion transitional process (steady state of operation), the AE signal frame takes the form that much different from transitional regime. Experimental research presented in the form of experimental dependencies thats reflect average value power of AE signals. Along the axis Y postponed relevant calculated value speed works dissipation in tribosystems , unit measurement - J/s. Received dependencies allow determine speed works dissipation in tribosystems woodworking equipment during the transition process by values power signals acoustic emissions, which allowed us to develop a calculation methodology quantities speed wear in woodworking equipment during training in any point transitional process.
References
Shevchenko S.A. Classification and justification requirements for acoustic emission signs friction pair defects mechanisms, Bulletin Kharkiv national technical university rural farms named after P. Vasylenko , 2012, issue 121, pp. 159-163.
Abdullah M., D. Al-Ghamd, Zhechkov, D. Mba. A comparative experimental study on the use of Acoustic Emission and vibration analysis for bearing defect identification and estimation of defect size, Mechanical System and Signal Processing, 2006, No.7, pp.1537–1571.
Mazal P., V.Koula, F.Hort, F.Vlasic. Applications of continuous sampling of AE signal for detection of fatigue damage, NDT in Progress, 2009, No.4. –8 p.
Yanhui Feng. Discrete wavelet-based thresholding study on acoustic emission signals to detect bearing defect on a rotating machine, The Thirteen International Congress of Sound and Vibration. Vienna, Austria, 2-6 July, 2006. –8 p.
Faris Elasha., Matthew Greaves, David Mba, Abdulmajid Addali. Application of Acoustic Emission in Diagnostic of Bearing Faults within a Helicopter gearbox, The Fourth International Conference on Through-life Engineering Services. Procedia CIRP, 2015, Vol.38, рp. 30-36.
Seyed A. Niknam, Tomcy Thomas, J. Wesley Hines, Rapinder Sawhney. Analysis of Acoustic Emission Data for Bearings subject to Unbalance, International Journal of Prognostics and Health Management, 2013, Vol. 15, pp. 1–10.
Badgujar M.P., Patil A.V. Fault Diagnosis of Roller Bearing Using Acoustic Emission Technique and Fuzzy Logic, International Journal of Latest Trends in Engineering and Technology, 2014, Vol. 3, Issue 4, pp.170–175.
Rao V.V., Ratnam Ch. A Comparative Experimental Study on Identification of Defect Severity in Rolling Element Bearings using Acoustic Emission and Vibration Analysis, Tribology in Industry, 2015, Vol. 37, No. 2, pp.176-185.
Zahari Taha., Indro Pranoto. Acoustic Emission - Research and Applications. Chapter 4 – Acoustic Emission Application for Monitoring Bearing Defects, InTech. 2013, pp.71–90. http://dx.doi.org/10.5772/55434
Nienhaus K., Boos F.D., Garate K., Baltes R. Development of Acoustic Emission (AE) based defect parameters for slow rotating roller bearings, Journal of Physics: Conference Series. 364. 2012. 012034. 1-10. doi:10.1088/1742-6596/364/1/012034
Yongyong He., Xinming Zhang, Michael I. Friswell. Defect Diagnosis for Rolling Element Bearings Using Acoustic Emission, Journal of Vibration and Acoustics, 2009, Vol. 131 / 061012.
Victor Vojtov, Katherine Fenenko, Anton Voitov, Andriy Hrynkiv, Oleg Lyashuk, Yuriy Vovk. Methodical Approach to Using Acoustic Emission Method for Tribosystem Monitoring. Tribology in Industry, Vol. 44, No. 3, pp. 470-481, 2022. DOI: 10.24874/ti.1298.05.22.08
V. A. Vojtov, K. A. Fenenko, A. V. Voitov Methodology for diagnosing various tribosystem designs using the acoustic emission method // Problems of friction and wear. 2021. – No. 2 (91). – P. 18-26. DOI: 10.18372/0370-2197.2(91).15525
V. A. Vojtov, K. A. Fenenko, A. V. Voitov Substantiation of informative amplitudes during registration of acoustic emission signals from the friction zone of tribosystems // Problems of Tribology, V. 26, No 1/99 – 2021, 6-12. https://doi.org/10.31891/2079-1372-2021-99-1-6-12