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
Aaqib Majeed (Bacha Khan University) Ahmad Zeeshan (FBAS) Tariq Mahmood (University of Engineering and Technology Taxila sub Campus Chakwal) Shafiq Ur Rahman (University of Engineering and Technology Taxila sub Campus Chakwal) Imran Khan (Bacha Khan University)
저널정보
한국자기학회 Journal of Magnetics Journal of Magnetics Vol.24 No.1
발행연도
2019.3
수록면
81 - 89 (9page)
DOI
10.4283/JMAG.2019.24.1.081

이용수

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

초록· 키워드

오류제보하기
The present article is planned theoretically to throw light on non-Newtonian Casson liquid flow and heat transport analysis over an exponentially stretching sheet with second-order velocity slip condition. The analysis of magneto-hydrodynamic (MHD) is an important interdisciplinary field. One of the most imperative applications related to engineering problems is plasma confinement, liquid-metal cooling of nuclear reactors, and electromagnetic casting. The flow here is considered to be electrically conducting. The modelled equations of mass, momentum and energy transport are reduced into the nonlinear ordinary differential equations by employing a similarity approach which are then solved numerically by employing finite difference collocation process (a three-stage Lobatto IIIa scheme). The inspiration of convergence flow parameters on dimensionless velocity, temperature have been discussed graphically. The obtained results confirm that an excellent agreement is achieved for the Newtonian case with those available in the literature. Consequences establish that skin friction rises in the presence of Casson fluid parameter and the Nusselt number show enhancement for second order slip parameter.

목차

1. Introduction
2. Problem Design and Formulation
3. Method of Solution
4. Physical Quantities
5. Numerical Results and Discussion
6. Final Remarks
7. Declaration
References

참고문헌 (40)

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