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Design Optimization of a High Specific Speed Francis Turbine Using Multi-Objective Genetic Algorithm
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  • Design Optimization of a High Specific Speed Francis Turbine Using Multi-Objective Genetic Algorithm
  • Design Optimization of a High Specific Speed Francis Turbine Using Multi-Objective Genetic Algorithm
저자명
Nakamura. Kazuyuki,Kurosawa. Sadao
간행물명
International journal of fluid machinery and systems
권/호정보
2009년|2권 2호|pp.102-109 (8 pages)
발행정보
유체기계공업학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.