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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 98
PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 186

Sensitivity Analysis and Optimization Design of a Pantograph for a High-Speed Train

J.S. Paik1, Y.G. Kim1, J.H. Lee2, T.W. Park2 and K.H. Kim1

1High-speed Rail Systems Research Team, Korea Railroad Research Institute, Korea
2Department of Mechanical Engineering, Ajou University, Korea

Full Bibliographic Reference for this paper
J.S. Paik, Y.G. Kim, J.H. Lee, T.W. Park, K.H. Kim, "Sensitivity Analysis and Optimization Design of a Pantograph for a High-Speed Train", in J. Pombo, (Editor), "Proceedings of the First International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 186, 2012. doi:10.4203/ccp.98.186
Keywords: pantograph, sensitivity analysis, optimization design, contact force, deviation, design variables, high-speed train.

Summary
In this paper, sensitivity analysis of the design variables of a pantograph for a high-speed train was conducted. Dynamic interaction of the catenary-pantograph model was simulated by using the commercial software, SAMCEF. The catenary system was modelled using the finite element method and the pantograph was assumed to be a multi-body system with three degrees of freedom for the mass-spring-damper. The span data of the actual high-speed line and specification of the pantograph for the high-speed train was applied in the analysis model. The reliability of the simulation model was verified by comparing the contact force results of an on-line test. Through the simulation, mean contact force and its deviation were evaluated and then the sensitivity of design variables of the pantograph was analyzed. Using design variables, which are selected using the sensitivity analysis, the optimization of the pantograph was carried out for minimum deviation of the contact force. The central composite experimental design was employed for optimization, and the reliability of the regression model of the pantograph was evaluated by using an ANOVA table.

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