Entropy optimized radiative flow of viscous nanomaterial subject to induced magnetic field

被引:11
作者
Hayat, T. [1 ]
Ajaz, Ulfat [1 ]
Khan, Sohail A. [1 ]
Ahmad, B. [2 ]
机构
[1] Quaid I Azam Univ, Dept Math, 45320, Islamabad 44000, Pakistan
[2] King Abdulaziz Univ, Fac Sci, Nonlinear Anal & Appl Math NAAM Res Grp, POB 80207, Jeddah 21589, Saudi Arabia
关键词
Finite difference technique; Induced magnetic field; Radiation and entropy rate; MICROPOLAR FLUID-FLOW; BROWNIAN-MOTION; NANOFLUID FLOW; HEAT-TRANSFER; THERMOPHORESIS; GENERATION;
D O I
10.1016/j.icheatmasstransfer.2022.106159
中图分类号
O414.1 [热力学];
学科分类号
摘要
Here we examine the time-dependent viscous nanofluid flow with induced magnetic field. Energy expression comprising dissipation and radiation is accounted. Additionally Brownian movement and thermophoresis have been addressed. Thermal expression examines the thermodynamical system performance. Flow subject to first order reaction is chemically reactive. Dimensionless system is obtained through adequate variables. Dimensionless differential systems are solved employing finite difference scheme. Variations in velocity, induced magnetic field, thermal field and concentration against influential parameters are explored. Entropy generation is designed. Computational results of drag force, thermal transport rate and Sherwood number have been organized. Decay in velocity is seen for suction variable. Larger magnetic Prandtl number rises the thermal field. An increment in induced magnetic field is noticed through magnetic Prandtl number. Reverse results of entropy and thermal field for radiation are observed. Larger approximation of thermophoresis variable has reverse impact on concentration and thermal field. Higher estimation of Brinkman number correspond to an increase of entropy rate.
引用
收藏
页数:10
相关论文
共 48 条
[1]   Nonstandard finite difference scheme for a Tacoma Narrows Bridge model [J].
Adekanye, Oluwaseye ;
Washington, Talitha .
APPLIED MATHEMATICAL MODELLING, 2018, 62 :223-236
[2]   Convective flow of a Maxwell hybrid nanofluid due to pressure gradient in a channel [J].
Ali, Rizwan ;
Asjad, Muhammad Imran ;
Aldalbahi, Ali ;
Rahimi-Gorji, Mohammad ;
Rahaman, Mostafizur .
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, 2021, 143 (02) :1319-1329
[3]   STUDY OF ENTROPY GENERATION IN FUNDAMENTAL CONVECTIVE HEAT-TRANSFER [J].
BEJAN, A .
JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 1979, 101 (04) :718-725
[4]  
Bejan A., 1982, Adv. Heat Transfer, V15, P158, DOI DOI 10.1016/S0065-2717(08)70172-2
[5]  
Bidin B., 2009, Eur. J. Sci. Res, V33, P710
[6]   Convective transport in nanofluids [J].
Buongiorno, J .
JOURNAL OF HEAT TRANSFER-TRANSACTIONS OF THE ASME, 2006, 128 (03) :240-250
[7]   Multi-objective optimization of micro-fin helical coil tubes based on the prediction of artificial neural networks and entropy generation theory [J].
Cao, Jiaming ;
Wang, Xuesheng ;
Yuan, Yuyang ;
Zhang, Zhao ;
Liu, Yanbin .
CASE STUDIES IN THERMAL ENGINEERING, 2021, 28
[8]   Numerical study for the unsteady space fractional magnetohydrodynamic free convective flow and heat transfer with Hall effects [J].
Chi, Xiaoqing ;
Zhang, Hui .
APPLIED MATHEMATICS LETTERS, 2021, 120
[9]  
Choi S.U., 1995, ENHANCING THERMAL CO
[10]   Significance of non-similar modeling in the entropy analysis of chemically reactive magnetized flow of nanofluid subjected to thermal radiations and melting heat condition [J].
Cui, Jifeng ;
Safeer, Musawara ;
Farooq, Umer ;
Rabie, Mohammed Elamin Ahmed ;
Muhammad, Taseer .
AIP ADVANCES, 2021, 11 (08)