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
학술대회자료
저자정보
저널정보
대한설비공학회 대한설비공학회 학술발표대회논문집 대한설비공학회 1995年度 동계학술발표 논문집
발행연도
1995.11
수록면
114 - 119 (6page)

이용수

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

초록· 키워드

오류제보하기
The present numerical study was conducted to examine the effect of channel height and flow velocity on local Nusselt numbers in a semi-confined let impinging at a right angle on a uniformly heated circular plate. The proper selection of nozzle geometry and Jet velocity Is Important to Increase the rate of heat transfer. Streamline, temperature, pressure, heat transfer coefficient, and local Nusselt number distribution were determined. Among three dimensionless channel heights (H = 0.5, 1.0 and 1.5) studied, the case of H = 0.5 produced the best enhancement of the heat transfer rate due to high velocity. The temperature profile in an Impinging circular Jet had a peak, which gradually moved outward to the rim of the heated circular plate with an increasing Reynolds number. The presence of the peak temperature can be attributed to flow recirculation in the channel. The channel height was found to have a strong effect on the surface temperature and pressure drop. It Is of note that the pressure drop Increased more with an Increasing Reynolds number than the average heat transfer coefficient did. Furthermore, the pressure drop Increased sharply with decreasing channel height. For the case of Pr = 7, the Nusselt number depended on the Reynolds number much more than the channel height. For comparison with the unconfined Impingement result of Womac et al., the present study showed that the local Nusselt number was significantly larger with a confined submerged jet than with an unconfined free jet (see Fig. 8).

목차

Abstract

1. Introduction

2. Numerical modeling of a circular jet Impingement

3. Results and discussion

4. Conclusions

List of references

참고문헌 (0)

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

UCI(KEPA) : I410-ECN-0101-2009-553-015387509