메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Zhongyong Pan (Jiangsu University) Chunhai Cen (Jiangsu University) Ping Zong (Jiangsu University) Fall Ibra (Jiangsu University) Bo Yang (Jiangsu University)
저널정보
한국유체기계학회 International Journal of Fluid Machinery and Systems International Journal of Fluid Machinery and Systems Vol.13 No.2
발행연도
2020.6
수록면
455 - 462 (8page)
DOI
10.5293/IJFMS.2020.13.2.455

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
To investigate the gas-liquid two-phase flow characteristics in the reversing bucket of water jet propulsion, the numerical simulations based on the Euler-Euler inhomogeneous model was conducted to the internal flow field of the reversing bucket under 1%~12% different inlet gas volume fractions (α). Based on that, the gas distribution, gas-liquid velocity streamlines and thrust changing were obtained to discuss the gas-liquid flow characteristics and the influence on the thrust of the reversing bucket. The calculation results show that the gas mainly distributes in the inner part of the reversing bucket flow passage under different inlet gas volume fractions. On the condition that the inlet gas volume fraction is more than 2%, the gas accumulation has occurred in the inlet section of the flow passage. With the increasing of inlet gas volume fraction, average velocity and pressure increase gradually at each cross-section of reversing bucket flow passage, and at the higher gas concentration in each cross-section, where the vortex will exist, indicating that the gas concentration has a great relationship with the vortex aggregation in the reversing bucket flow passage. When the inlet gas volume fraction is 7%, the thrust reaches the maximum. It shows that the appropriate gas can effectively improve the thrust efficiency of the reversing bucket.

목차

Abstract
1. Introduction
2. Numerical Simulation Method
3. Results and discussion
4. Conclusion
References

참고문헌 (11)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0