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Analysis of Lateral Stability and Ride of an Indian Railway Constrained Dual-Axle Bogie Frame
- Rakesh Chandmal Sharma - Graphic Era (Deemed to be University), Mechanical Engineering Department, India ,
- L.V.V. Gopala Rao - Vignan’s Institute of Information Technology, Mechanical Engineering Department, India ,
- Sunil Kumar Sharma - National Rail and Transportation Institute (Deemed to be University), School of Engineering and Applied Science, India ,
- Srihari Palli - Aditya Institute of Technology and Management, Mechanical Engineering Department, India ,
- V.S.V. Satyanarayana - Vignan’s Institute of Information Technology, Mechanical Engineering Department, India
ISSN: 1946-391X, e-ISSN: 1946-3928
Published November 10, 2022 by SAE International in United States
Citation: Sharma, R., Gopala Rao, L., Sharma, S., Palli, S. et al., "Analysis of Lateral Stability and Ride of an Indian Railway Constrained Dual-Axle Bogie Frame," SAE Int. J. Commer. Veh. 16(2):2023, https://doi.org/10.4271/02-16-02-0014.
This article investigates the lateral dynamic behavior of a two-wheel axle bogie frame of an Indian railway vehicle. The influence of the different parameters of the vehicle on stability is investigated. The model is formulated by assigning 10 degrees of freedom (DoF) to the system with yaw and lateral DoF assigned to the bogie frame and vertical, lateral, roll, and yaw DoF assigned to each wheel axle. Linear creep force and moments suggested by Kalker’s linear theory of creep have been accounted for in the analysis. The stability analysis is carried out by transforming the second-order differential equations into first-order differential equations using state-space representation. The present model is validated by comparing the eigenvalues of the analytical model with the same obtained from the finite element (FE) model. The results obtained from the analytical and FE model are in good agreement. The present model is also validated by correlating the lateral acceleration in the bogie frame obtained from simulation and experimental testing. For this purpose, the system is subjected to random vertical and lateral inputs, and these inputs are experimentally measured and modeled using a track recording car (TRC). The experimental and simulated results are correlated well and the model is justified.