In this paper, magnetic field effects on the forced convection flow of a nanofluid over a stretching surface in the presence of heat generation/absorption are studied. The equations of continuity, momentum and energy are transformed into ordinary differential equations and solved numerically using the fourth-order Runge-Kutta integration scheme featuring the shooting technique. Different types of nanoparticles as copper (Cu), silver (Ag), alumina (Al2O3) and titania (TiO2) with water as their base fluid has been considered. The influence of significant parameters, such as magnetic parameter, volume fraction of the nanoparticles, heat generation/absorption parameter, velocity ratio parameter and temperature index parameter on the flow and heat transfer characteristics are discussed. The results show that the values of temperature profiles increase with increasing heat generation/absorption and volume fraction of the nanoparticles but they decrease with increasing velocity ratio parameter and temperature index parameter. Also, it can be found that selecting silver as nanoparticle leads to the highest heat transfer enhancement.
机构:
Quaid I Azam Univ, Dept Math, Islamabad 44000, Pakistan
King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah 21589, Saudi ArabiaComsats Inst Informat Technol, Dept Math, Wancantt 47040, Pakistan
Hayat, T.
Alsaedi, A.
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King Abdulaziz Univ, Fac Sci, Dept Math, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah 21589, Saudi ArabiaComsats Inst Informat Technol, Dept Math, Wancantt 47040, Pakistan
机构:
Xiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R ChinaXiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R China
Li, Yi-Xia
Alshbool, Mohammed Hamed
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Abu Dhabi Univ, Dept Appl Math, Abu Dhabi 59911, U Arab EmiratesXiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R China
Alshbool, Mohammed Hamed
Lv, Yu-Pei
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Huzhou Univ, Dept Math, Huzhou 313000, Peoples R ChinaXiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R China
Lv, Yu-Pei
Khan, Ilyas
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Majmaah Univ, Coll Sci Al Zulfi, Dept Math, POB 66, Majmaah 11952, Saudi ArabiaXiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R China
Khan, Ilyas
Khan, M. Riaz
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Chinese Acad Sci, Acad Math & Syst Sci, LSEC, Beijing 100190, Peoples R China
Chinese Acad Sci, Acad Math & Syst Sci, ICMSEC, Beijing 100190, Peoples R China
Univ Chinese Acad Sci, Sch Math Sci, Beijing 100190, Peoples R ChinaXiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R China
Khan, M. Riaz
Issakhov, Alibek
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Al Farabi Kazakh Natl Univ, Dept Math & Comp Modeling, Alma Ata, Kazakhstan
Kazakh British Tech Univ, Dept Math & Comp Modeling, Alma Ata, KazakhstanXiangnan Univ, Coll Math & Finance, Chenzhou 423000, Peoples R China