具有不可逆和发热特性的可拉伸圆柱体辐射萨特比纳米流体的混合对流

Mujeeb Ur Rahman, Fazal Haq, D. Abduvalieva
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摘要

熵的产生因其应用而受到研究人员的关注。熵在冷却器、沙漠领、冰箱和各种传热设备中都有应用。鉴于熵的广泛应用,本研究讨论了可拉伸圆柱体在萨特比纳米流体流动中的不可逆性。在报告动量方程的同时,还考虑了磁场和混合对流效应。在热能表达式中考虑了辐射、焦耳加热和热源的影响。在浓度方程建模中考虑了化学反应的影响。利用热力学第二定律获得了所考虑流动的不可逆性。表示流动的一维偏微分方程 (PDE) 通过相似变换转换为无量纲常微分方程 (ODE)。通过 Mathematica 的 NDSolve 代码求解 ODE。以图形方式研究了流动参数对速度、熵、温度、贝扬数和浓度的影响。对工程量进行了数值分析。研究结果表明,磁变量越大,速度越低;曲率变量越大,速度越高。磁场和热源参数越高,热场越大。扩散和辐射变量升高时,熵增加。
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Mixed convection flow of radiated Sutterby nanofluid by stretchable cylinder with irreversibility and heat generation
Entropy generation has gained consideration of researchers due to its applications. Applications of entropy occur in chillers, desert collars, refrigerators, and all type of heat transfer devices. Due to vast range of applications of entropy, in this study irreversibility in Sutterby nanofluid flow by stretchable cylinder is discussed. While reporting momentum equation magnetic field and mixed convection effects are considered. Influences of radiation, Joule heating, and heat source are deliberated in the expression for thermal energy. Chemical reaction impact is taken in the modeling of concentration equation. Irreversibility for the considered flow is obtained by utilizing thermodynamics second law. Dimensional partial differential equations (PDEs) representing the flow are transformed to dimensionless ordinary differential equations(ODEs) through similarity transformations. Solution of ODEs is obtained via NDSolve code of Mathematica. Impact of flow parameters on velocity, entropy, temperature, Bejan number, and concentration are studied graphically. Engineering quantities are analyzed numerically. It is noticed through achieved results that velocity drops for higher magnetic variable while upsurges for higher curvature variable. Thermal field boosts for higher magnetic and heat source parameter. For rising diffusion and radiation variables entropy improves.
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