Design Optimization of a High Specific Speed Francis Turbine Using Multi-Objective Genetic Algorithm
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概要
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A design optimization system for Francis turbine was developed. The system consists of design program and CFD solver. Flow passage shapes are optimized automatically by using the system with Multi-Objective Genetic Algorithm (MOGA). In this study, the system was applied to a high specific speed Francis turbine (nSP = 250m-kW). The runner profile and the draft tube shape were optimized to decrease hydraulic losses. As the results, it was shown that the turbine efficiency was improved in wide operating range, furthermore, the height of draft tube was reduced with the hydraulic performance kept.
- ターボ機械協会、韓国流体機械学会、中国工程熱物理学会、国際水理学会の論文
ターボ機械協会、韓国流体機械学会、中国工程熱物理学会、国際水理学会 | 論文
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