人工衛星用ヒートパイプの多目的最適化設計におけるパレート解の視覚化とクラスタリング分析(機械力学,計測,自動制御)

概要

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Getting adequate information for determining a final design solution is not an easy task especially if there are many optimum and quasi-optimum solutions in a multi-dimensional space. To overcome the difficulty, a synchronous three dimensional visualization is proposed. Through the interactive operation of the present visualization system, engineers can explore and understand the correlation among multi-dimensional function and parameter spaces and the real world space. Moreover to find distinct features of the solutions, an enhanced clustering algorithm is applied to the optimum and quasi-optimum solutions. As a practical engineering application, the proposed approaches are applied to a multi-objective optimization of heat pipe design of artificial satellite. The synchronous visualization helps an engineer to understand the design effect of each solution out of the Pareto and quasi〜Pareto solutions. The clustering of the optimum and quasi-optimum solutions guides the shape parameters whether to correspond to worse or better design clearly. It is confirmed that the information gleaned from the proposed methods can support engineering decisionmaking on the design of heat pipes effectively.
一般社団法人日本機械学会の論文
2005-10-25