Multidimensional Clustering Interpretation and Its Application to Optimization of Coolant Passages of a Turbine Blade

[+] Author and Article Information
Min Joong Jeong

Computational Biology Research Center, National Institute of Advanced Industrial Science and Technology, 2-43 Aomi Koto-ku, Tokyo 135-0064, Japane-mail: jeong-minjoong@aist.go.jp

Brian H. Dennis, Shinobu Yoshimura

Institute of Environmental Studies, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

J. Mech. Des 127(2), 215-221 (Mar 25, 2005) (7 pages) doi:10.1115/1.1830047 History: Received April 24, 2003; Revised June 11, 2004; Online March 25, 2005
Copyright © 2005 by ASME
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Grahic Jump Location
Two-dimensional representation of 90-dimensional five clusters
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Optimization function value with two-dimensional parameter value
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Cooling passages of each cluster
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Temperature distribution for initial design and the optimized best design for initially 30-passage case
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Clustering function value versus cluster number
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DB Index versus cluster number
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Eigenvalue on dimension number
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Two subclusters of cluster 1
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Region where coolant passage centers are allowed




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