인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 저자정보
피인용 0
초록·키워드
In this study, design of experiment, three-dimensional free surface flow analysis, response surface method, and the multi-objective optimization method were combined to develop a multi-objective optimization design method for an undershot cross-flow water turbine. This design method was applied to a water turbine runner, and multi-objective optimization was performed to achieve low head and high power output. The resulting optimized runner was tested, and the flow field around the runner and the torque fluctuation acting on the blade were investigated. The results showed that the effective head of the optimized runner was 20.2% higher than that of the original runner, but the turbine output was significantly higher (98.3%). This is because, although the optimized runner had fewer blades, the torque of each blade increased significantly, since the optimized runner had a narrower negative torque range and a larger positive torque range than the original runner in terms of the torque fluctuation of one blade during one runner rotation, resulting in a significant increase in total torque.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-092151613
