Abstract
In this paper, design optimization and suggestion of design improvement of the axial-flow pump impeller are investigated using the multi-stage optimization process. it is constructed by screening, metamodeling, design optimization, and analysis of design optimization results. Throughout the process, Commercial PIDO software called PIAnO and AIDesigner was used. For design simplification and efficiency refinement of the design optimization process, screening of design variables was applied, filtered 4 variables were used to construct metamodels of performance characteristics. Metamodels with the least error were polynomial regression for Efficiency and Kriging for the total head, and they were used on design optimization of the axial pump impeller. The method of design optimization was PQRSM selected by AIDesigner. As a result, the axial-flow pump impeller was satisfied its required total head with improved efficiency. Using contribution analysis and trade-off analysis, it can be improved when shroud length would be increased larger than its own upper limitation.
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