Abstract
One of the most important and significantly affecting the behavior of technical systems is the wear process of elements. The use of numerical modules of application programs is carried out using the simulation and analysis of the physical processes occurring in the wear process. Numerical models should be based on the use of a unified mathematical apparatus and a methodological approach to describe the behavior of various types of technical tribosystems. Models should describe the wear process as a non-stationary random process. The paper analyzes the shaping of the wear surface of a radial plain bearing operating under conditions of skew axis of the shaft and sleeve. The problem was solved by the method of triboelements in the environment of the finite element package ANSYS. The combined use of triboelement and finite element methods has removed a number of restrictions in the calculation models. As a result of the calculation analysis, the presence of a transition wear zone was revealed and experimentally confirmed, quantitative parameters were determined, and the mechanism of its formation was explained. A comparative analysis of the results of numerical modeling and experiment shows a good agreement between qualitative and quantitative laws. The proposed complex algorithm for the numerical solution of the contact wear in a rally bearing is recommended for use in engineering calculations of the wear of various machines and mechanisms.
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Acknowledgments
The reported study was funded by RFBR according to the research project â„–19-08-01241a. The authors declare that there is no conflict of interest regarding the publication of this paper. This research work was supported by the Academic Excellence Project 5-100 proposed by Peter the Great St. Petersburg Polytechnic University.
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Dykha, A., Artiukh, V., Sorokatyi, R., Kukhar, V., Kulakov, K. (2021). Modeling of Wear Processes in a Cylindrical Plain Bearing. In: Murgul, V., Pukhkal, V. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019. EMMFT 2019. Advances in Intelligent Systems and Computing, vol 1259. Springer, Cham. https://doi.org/10.1007/978-3-030-57453-6_52
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