Optimization of a Gate Valve Using Orthogonal Array and Kriging Model

Article Preview

Abstract:

The optimization of gate valve was performed using Kriging based approximation model. The DACE modeling, known as the one of Kriging interpolation, is introduced to obtain the surrogate approximation model of the function. In addition, we describe the definition, the prediction function and the algorithm of Kriging method and examine the accuracy of Kriging by using validation method.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 345-346)

Pages:

901-904

Citation:

Online since:

August 2007

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2007 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] S. H. Park: Modern Design of Experiments. (2004), pp.377-435.

Google Scholar

[2] J. W. Yi, J. S. Park, K. H. Lee and G. J. Park: Development of an Optimization Algorithm Using Orthogonal Arrays in Discrete Space, Journal of KSME, Vol. 25, No. 10 (2000), pp.1621-1626.

Google Scholar

[3] J. Sacks, W.J. Welch, T.J. Mitchell, and H.P. Wynn: Design and Analysis of Computer Experiments, Statistical Science, Vol. 4, No. 4 (1989), pp.409-435.

Google Scholar

[4] K.H. Lee: Optimization of a Driver-Side Airbag Using Kriging Based Approximation Model, Journal of Mechanical Science and Technology, Vol. 19, No. 1 (2005), pp.116-126.

DOI: 10.1007/bf02916110

Google Scholar

[5] A. Guinta, and L. Watson: A Comparison of Approximation Modeling Techniques: Polynomial Versus Interpolation Models, Proceedings of the 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, St. Louis, MO, AIAA, Vol. 2, No. 2-4, (1998).

DOI: 10.2514/6.1998-4758

Google Scholar

[6] J. S. Ryu, M. S. Kim, K, J. Cha, T. H. Lee, and D. H. Choi: Kriging Interpolation Methods in Geostatistics and DACE Model, KSME International Journal, Vol. 16, No. 5, (2002), p.619632.

DOI: 10.1007/bf03184811

Google Scholar

[7] J. Martin and T. Simpson: Use of Adaptive Metamodeling for Design Optimization, Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, Georgia, AIAA, (2002), pp.2167-2175.

DOI: 10.2514/6.2002-5631

Google Scholar

[8] S. I. Song, K. J. Bae, K. H. Lee, and G. J. Park: Lightweight Design for Automotive Door Using Optimizations and Design of Experiments, Journal of KSAE, Vol. 10, No. 1, (2002), pp.125-132.

Google Scholar