Abstract
The water-lubricated thrust bearings of the marine rim-driven thruster (RDT) are usually composed of polymer composites, which are prone to serious wear under harsh working conditions. Ultrasonic is an excellent non-destructive monitoring technology, but polymer materials are characterized by viscoelasticity, heterogeneity, and large acoustic attenuation, making it challenging to extract ultrasonic echo signals. Therefore, this paper proposes a wear monitoring method based on the amplitude spectrum of the ultrasonic reflection coefficient. The effects of bearing parameters, objective function, and algorithm parameters on the identification results are simulated and analyzed. Taking the correlation coefficient and root mean square error as the matching parameters, the thickness, sound velocity, density, and attenuation factor of the bearing are inversed simultaneously by utilizing the differential evolution algorithm (DEA), and the wear measurement system is constructed. In order to verify the identification accuracy of this method, an accelerated wear test under heavy load was executed on a multi-functional vertical water lubrication test rig with poly-ether-ether-ketone (PEEK) fixed pad and stainless-steel thrust collar as the object. The thickness of pad was measured using the high-precision spiral micrometer and ultrasonic testing system, respectively. Ultimately, the results demonstrate that the thickness identification error of this method is approximately 1%, and in-situ monitoring ability will be realized in the future, which is of great significance to the life prediction of bearings.
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References
Orndorff R. Water-lubricated rubber bearings, history and new developments. Nav Eng J 97(7): 39–52 (1985)
Han Y F, Xiong S W, Wang J X, Wang Q J. A new singularity treatment approach for journal-bearing mixed lubrication modeled by the finite difference method with a herringbone mesh. J Tribol-T ASME 138(1): 011704 (2016)
Ouyang W, Zhang X, Jin Y, Yuan X. Experimental study on the dynamic performance of water-lubricated rubber bearings with local contact. Shock Vib 2018: 6309727 (2018)
Litwin W. Influence of local bush wear on water lubricated sliding bearing load carrying capacity. Tribol Int 103: 352–358 (2016)
Fka B, Xza B, Jian H, Hao W B, Pz B. Machine-vision-based assessment of frictional vibration in water-lubricated rubber stern bearings. Wear 426: 760–769 (2019)
Han H, Lee K. Experimental verification of the mechanism on stick-slip nonlinear friction induced vibration and its evaluation method in water-lubricated stern bearing. Ocean Eng 182: 147–161 (2019)
Zhang Z, Zhang Z, Huang X, Hua H. Stability and transient dynamics of a propeller-shaft system as induced by nonlinear friction acting on bearing-shaft contact interface. J Sound Vib 333(12): 2608–2630 (2014)
Huang Q, Yan X, Zhang C, Zhu H. Coupled transverse and torsional vibrations of the marine propeller shaft with multiple impact factors. Ocean Eng 178: 48–58 (2019)
Guo Z, Xie X, Yuan C Q. Study on influence of micro convex textures on tribological performances of UHMWPE material under the water-lubricated conditions. Wear 426-427: 1327–1335 (2019)
Qu J, Truhan J J. An efficient method for accurately determining wear volumes of sliders with non-flat wear scars and compound curvatures. Wear 261(7–8): 848–855 (2006)
Bhushan B, Lowry J A. Friction and wear studies of various head materials and magnetic tapes in a linear mode accelerated test using a new nano-scratch wear measurement technique. Wear 190(1): 1–15 (1995)
Scherge M, PÖhlmann K, A Gervé. Wear measurement using radionuclide-technique (RNT). Wear 254(9): 801–817 (2003)
Sheng C, Wu T, Zhang Y. Non-destructive testing of marine diesel engines using integration of ferrographic analysis and spectrum analysis. Insight-Non-Destructive Testing and Condition Monitoring 54(7): 394–398 (2012)
Jurkovic J, Korosec M, Kopac J. New approach in tool wear measuring technique using CCD vision system. Int J Mach Tool Manu 45(9): 1023–1030 (2005)
Zhang S J, To S, Cheung C F, Du J J. Novel auto-regressive measurement of diamond tool wear in ultra-precision raster milling. Int J Precis Eng Man 13(9): 1661–1670 (2012)
Warner J A, Gladkis L G, Smith P N, Scarvell J M, Timmers H. Demonstration of a new technique using radioisotope tracers to measure the backside wear rate on tibial inserts. Tribol Lett 46(2): 139–145 (2012)
Yuan C Q, Li J, Yan X P, Peng Z. The use of the fractal description to characterize engineering surfaces and wear particles. Wear 255(1–6): 315–326 (2003)
Wang S, Wu T, Wang K, Sarkodie-Gyan T. Ferrograph analysis with improved particle segmentation and classification methods. J Comput Inf Sci Eng 20(2): 1–12 (2019)
Xu X J, Yan X P, Sheng C X, Yuan C Q, Xu D L, Yang J B. A belief rule-based expert system for fault diagnosis of marine diesel engines. IEEE Trans Syst Man Cybern Syst 50(2): 656–672 (2020)
Kang Y, Shi K, Meng Y. Study on wear quantity testing device for extra-large size thrust bearing. Journal of Harbin Bearing 4: 33–35 (2016)
Long M, Rack H. Ultrasonic in situ continuous wear measurements of orthopaedic titanium alloys. Wear 205(1–2): 130–136 (1997)
Ahn H, Kim D I. In situ evaluation of wear surface by ultrasound. Wear 251(1–12): 1193–1201 (2001)
Abu-Zahra N., Yu G. Gradual wear monitoring of turning inserts using wavelet analysis of ultrasound waves. Int J Mach Tool Manu 43: 337–343 (2003)
Zhao Y, Lin L, Li X M, Lei M K. Simultaneous determination of the coating thickness and its longitudinal velocity by ultrasonic nondestructive method. Ndt & E Int 43(7): 579–585 (2010)
Ma Z Y, Luo Z B, Lin L, Krishnaswamy S, Lei M K. Quantitative characterization of the interfacial roughness and thickness of inhomogeneous coatings based on ultrasonic reflection coefficient phase spectrum. Ndt & E Int 102: 16–25 (2019)
Balasubramaniam K, Rao N S. Inversion of composite material elastic constants from ultrasonic bulk wave phase velocity data using genetic algorithms. Compos B Eng 29(2): 171–180 (1998)
Storn R, Price K. Differential evolution—A simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4): 341–359 (1997)
Acknowledgements
This study is supported by the National Key R&D Program of China (No. 2018YFE0197600), the European Union’s Horizon 2020 Research and Innovation Programme RISE under Grant Agreement No. 823759 (REMESH), and the National Natural Science Foundation of China (No. 52071244).
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Changxiong NING. He received his bachelor degree in marine engineering in 2018 from Wuhan University of Technology, Wuhan, China. Then he has been a Ph.D. student in the National Engineering Research Center for Water Transport Safety at the same university. His research interests include rim-driven thruster intelligent maintenance and health management.
Xinping YAN. He received his Ph.D. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 1997. He is an academician of the Chinese Academy of Engineering. His current position is a professor and the director of the National Engineering Research Center for Water Transport Safety, Wuhan University of Technology. He is committed to the research on safety, intelligence, and green technology of transportation system.
Wu OUYANG. He received his Ph.D. degree in mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2014. He is a professor of the National Engineering Research Center for Water Transport Safety, Wuhan University of Technology. His research areas cover the green and efficient propulsion technology, and friction and lubrication technology of propulsion system.
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Ning, C., Hu, F., Ouyang, W. et al. Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum. Friction 11, 685–703 (2023). https://doi.org/10.1007/s40544-022-0643-4
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DOI: https://doi.org/10.1007/s40544-022-0643-4