Abstract
A guideway vehicle is used in automobile, semiconductor and LCD manufacturing industries to transport products efficiently. Since the operating speed of the guideway vehicle should be increased for maximum productivity, the weight of the vehicle has to be reduced, and this weight reduction may cause a failure of a part in the system. Therefore, the estimation of the fatigue life of the parts becomes an important problem. In this study, the fatigue life of the wheels in the guideway vehicle is estimated using an S-N curve. To obtain the fatigue life of a part, the S-N curve, the dynamic stress time history applied to the part, and the material property of the part are required. The S-N curve of the driving wheel is obtained from the fatigue experiment on wheels. To obtain the material properties of the driving wheel, which is composed of aluminum with urethane coating, the result of a compression hardware test and static analysis of the wheel’s FE model are used. The dynamic stress time history influencing the driving wheel can be obtained from linear superposition of the dynamic load time history and the static stress. The dynamic load time history is estimated by multibody dynamic analysis, and the static stress is obtained by finite element analysis.
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References
Landgraf, R. W. and Conle, F. A., “Vehicle Durability Analysis,” Proc. of the First Annual Symposium on Mechanical System Design in a Concurrent Engineering Environment, pp. 239–259, 1989.
Liu, T. S., “Computational Methods for Life Prediction of Mechanical Components of Dynamic Systems,” Ph.D. Dissertation in Mechanical Engineering, The University of Iowa, 1987.
Yim, H. J., “Computational Methods for Stress Analysis of Mechanical Component in Dynamic Systems,” Ph. D. Dissertation in Mechanical Engineering, The University of Iowa, 1990.
Yim, H. J. and Lee, S. B., “An Integrated CAE System for Dynamic Stress and Fatigue Life Prediction of Mechanical Systems,” Journal of the KSME, Vol. 10, No. 2, pp. 158–168, 1996.
Lee, S. B., Park, T. W. and Yim, H. J., “A Study on Computational Method for Fatigue Life Prediction of Vehicle Structures,” Journal of KSNVE, Vol. 10, No. 4, pp. 686–691, 2000.
Seo, J. H., Mok, J. Y., Park, T. W., Kim, Y. G. and Kim, S. W., “Dynamic Analysis of a Pantograph-Catenary System for High-Speed Train (II. Analysis of the Integrated Current Collection System),” Journal of KSPE, Vol. 22, No. 1, pp. 160–166, 2005.
Baek, W. K. and Stephens, R. I., “Integrated Computational Durability Analysis,” Proc. of the Second Annual Symposium on Mechanical System Design in a Concurrent Engineering Environment, pp. 137–157, 1990.
Jung, D. W., Choi, N. S. and Park, S. H., “S-N Curve Deduction of a KTX High-Speed Train Structure for an Accelerated Life Testing,” Journal of the KSME, Vol. 33, No. 4, pp. 388–395, 2009.
Ham, Y.-S., Lee, D.-H., Kwon, S.-J., You, W.-H. and Oh, T.-Y., “Continuous Measurement of Interaction Forces between Wheel and Rail,” IJPEM, Vol. 10, No. 1, pp. 35–39, 2009.
Bannantine, J. A., Comer, J. J. and Handrock, J. L., “Fundamental of Metal Fatigue Analysis,” Prentice Hall, 1990.
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Lee, SH., Park, TW., Park, JK. et al. Fatigue life analysis of wheels on guideway vehicle using multibody dynamics. Int. J. Precis. Eng. Manuf. 10, 79–84 (2009). https://doi.org/10.1007/s12541-009-0097-x
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DOI: https://doi.org/10.1007/s12541-009-0097-x