倾斜平面磁流体动力辐射非牛顿耗散对流中的熵生成:数值研究

IF 1.3 Q4 NANOSCIENCE & NANOTECHNOLOGY Nanoscience and Technology-An International Journal Pub Date : 2020-10-27 DOI:10.1615/nanoscitechnolintj.2020033849
S. Gaffar, KU Rehman, O. Bég, V. Prasad
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引用次数: 2

摘要

建立了一个理论模型,用于研究斜板非牛顿磁流体动力热对流中熵的产生,以模拟与汽车涂层相关的导电聚合物材料的加工过程。高温引起辐射效应,用Rosseland扩散通量近似加以分析。Jeffery粘弹性模型用于描述流体的非牛顿特性,并为磁性聚合物提供了一个很好的近似,这是本工作的一个新颖之处。用Keller-Box隐式有限差分技术计算解决了归一化非线性边值问题。广泛的解决方案的速度,表面温度,表面摩擦和传热率是可视化的各种热物理参数。在没有磁场、辐射通量和非牛顿效应的情况下,对垂直板的情况进行了验证。通过对动量方程和能量方程的简化,得到了无量纲熵的产生。随着底波拉数的增大,Bejan数普遍减小。磁场的增大使熵产生数减小,使贝让数增大。增大布林克曼数(耗散参数)可以提高熵生成数,而减小贝让数。
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ENTROPY GENERATION IN MAGNETOHYDRODYNAMIC RADIATIVE NON-NEWTONIAN DISSIPATIVE CONVECTION FLOW FROM AN INCLINED PLANE: NUMERICAL STUDY
A theoretical model is developed to study entropy generation in non-Newtonian magnetohydrodynamic thermal convection from an inclined plate as a simulation of electroconductive polymer materials processing of relevance to automotive coating applications. High temperature invokes radiative effects which are analysed with the Rosseland diffusion flux approximation. The Jeffery’s viscoelastic model is deployed to describe the non-Newtonian characteristics of the fluid and provides a good approximation for magnetic polymers, which constitutes a novelty of the present work. The normalized nonlinear boundary value problem is solved computationally with the Keller-Box implicit finite-difference technique. Extensive solutions for velocity, surface temperature, skin friction and heat transfer rate are visualized graphically for various thermophysical parameters. Validation is conducted with earlier published work for the case of a vertical plate in the absence of magnetic field, radiative flux and non-Newtonian effects. The dimensionless entropy generation is obtained via the reduced momentum and energy equations. Bejan number is generally decreased with greater values of Deborah number. Increasing magnetic field reduces entropy generation number whereas it enhances the Bejan number. Increasing Brinkman number (dissipation parameter) is found to enhance the entropy generation number whereas it suppresses the Bejan number.
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来源期刊
CiteScore
4.00
自引率
23.10%
发文量
20
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