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Mathematical Model of Traction Rolling Stock Oscillations for the Assessment of Dynamic Loading of Its Components

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VIII International Scientific Siberian Transport Forum (TransSiberia 2019)

Abstract

The paper presents an analysis of the failures of components of the mechanical part of 2ES6 Sinara main electric locomotives in operation at the West Siberian Railway operating domain. The causes and consequences of failures of the most vulnerable components are determined. The task is to determine the level of dynamic loading in the “bogie – rod - traction electric motor” subsystem to reduce the dynamic effects in the “locomotive - track” system. The urgency of the problem of increased dynamic loading of components of the mechanical part is proved, and a mathematical model of vertical oscillations of traction rolling stock is formed on the basis of the second-order Lagrange equation in the form of a system of equations that allows assessing the load of components in operation. The spectral density of random perturbations was chosen—an approximation of random perturbations using the spectral density of the track roughness of Professor A. I. Belyaev. Using a computer, values were calculated, and graphs of the amplitude-frequency characteristics of vertical displacements, maximum accelerations of the body, bogie, traction electric motor and wheelset of the considered conditional uniaxial electric locomotive were built. A comparative analysis of the calculation results and empirical data is carried out. The task is to change the existing design of the suspension system of the traction electric motor of the electric locomotive under consideration and to analyze the oscillations of its components in further studies.

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Correspondence to D. V. Lipunov .

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Galiev, I.I., Minzhasarov, M.K., Lipunov, D.V. (2020). Mathematical Model of Traction Rolling Stock Oscillations for the Assessment of Dynamic Loading of Its Components. In: Popovic, Z., Manakov, A., Breskich, V. (eds) VIII International Scientific Siberian Transport Forum. TransSiberia 2019. Advances in Intelligent Systems and Computing, vol 1115. Springer, Cham. https://doi.org/10.1007/978-3-030-37916-2_43

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  • DOI: https://doi.org/10.1007/978-3-030-37916-2_43

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  • Online ISBN: 978-3-030-37916-2

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