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http://dx.doi.org/10.5394/KINPR.2006.30.1.105

Structural Optimization for LMTT-Mover Using Sequential Kriging Approximation Model  

Lee Kwon-Hee (Division of Mechanical Engineering Dong-A University)
Park Hyung-Wook (Division of Mechanical Engineering Dong-A University)
Han Dong-Seop (Division of Mechanical Engineering Dong-A University)
Han Geun-Jo (Division of Mechanical Engineering Dong-A University)
Publication Information
Journal of Navigation and Port Research / v.30, no.1, 2006 , pp. 105-111 More about this Journal
Abstract
A LMTT (Linear Motor-based Transfer Technology) is a horizontal transfer system for the yard automation This system is based on PMLSM (Permanent Magnetic Linear Synchronous Motor) that consists of stator modules on the rail and shuttle car. In this research, the kriging interpolation method using sequential sampling is utilized to find the optimum design of a mover in LMTT. The design variables are considered as the transverse, longitudinal and wheel beam's thicknesses. The objective function is set up as weight, while the constant functions are set up as the stresses generated by four loading conditions. The optimum results obtained by the suggested method are compared with those determined by the GENESIS.
Keywords
LMTT; Mover; Kriging; Sequential sampling; Structural optimization;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Leary, S. J., Bhaskar, A. and Keane, A. J.(2004), 'A Derivative Based Surrogate Model for Approximating and Optimizing the Output of an Expensive Computer Simulations,' Journal of Global Optimization, Vol. 30, pp.39-58   DOI
2 Lee, K. H., Min, K. A., Park, H. W., Han, D. S. and Han, G. J.(2004b), 'Structural Optimization for LMTT-mover of a Crane', Journal of Korean Navigation and Port Research(in Korean), Vol. 28, No. 2, pp.311-316
3 Guinta, A. and Watson, L.(1998), 'A Comparison of Approximation Modeling Techniques: Polynomial Versus Interpolating Models,' Proc. of the 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis, Mo, AIAA, Vol. 2., (AIAA-98-4758)
4 Jin, R., Du, X. and Chen, W.(2003), 'The Use of Metamodeling Techniques for Optimization under Uncertainty,' Structural Multidisciplinary Optimization, Vol. 25, No. 2, pp. 99-116   DOI
5 Lee, K. H.(2005), 'Optimization of a Driver-Side Aribag Using Kriging Based Approximation Model,' Journal of Mechanical Science and Technology, Vol. 19, No. 1, pp. 116-126   DOI   ScienceOn
6 Santner, T. J., Williams, B. J. and Notz, W. I.(2003), 'The Design and Analysis of Computer Experiments, Springer, New York
7 Lee, T. H., jung, J. J., Hwang, I. K. and Lee, C. S., (2004a), 'Sensitivity Approach of Sequential Sampling for Kriging Model,' Transactions of the KSME A(in Korean), Vol. 28, No. 1, pp. 1760-1767   DOI   ScienceOn
8 Jin, R., Chen, W. and Sudjianto, A.(2002), 'On Sequential Sampling for Global Metamodeling in Engineering Design,' Proc. DETC'02 ASME 2002 Design Engineering Technical Conferences and Computer and Irforrration in Engineering Conferences, (DETC2002/DAC-32092)
9 Lee, K. H. and Park, G. J.(2005), 'A Global Robust Optimization Using the Kriging Based Approximation Model,' Transactions of the KSME A(in Korean), Vol. 29, No. 9, pp. 1243-1252   과학기술학회마을   DOI   ScienceOn
10 VMA Engineering (1998), GENESIS User's Manual 5.0
11 Sacks, J., Welch, W. J., Mitchell, T. J. and Wynn, H. P. (1989), 'Design and Analysis of Computer Experiments,. Statical Science, Vol. 4, No. 4, pp.409-435   DOI   ScienceOn