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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Entropy optimization analysis in MHD nanomaterials (TiO2-GO) flow with homogeneous and heterogeneous reactions
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Entropy optimization analysis in MHD nanomaterials (TiO2-GO) flow with homogeneous and heterogeneous reactions

机译：MHD纳米材料（TiO2-Go）流动熵优化分析，均匀和异质反应

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摘要

Background: Nanomaterials have higher inspiration in the growth of pioneering heat transportation fluids and good efforts were made in this field during the recent year. Nowadays numerous scientists and researchers have focused their struggle on nanomaterials study. Nanoliquids have advanced properties which make them efficient in various applications including engine cooling, hybrid-power engine, pharmaceutical processes, refrigerator and vehicle thermal management etc. Therefore such implication in mind the entropy optimization in magnetohydrodynamic nanomaterials (TiO2 - GO) flow between two stretchable rotating disks is discussed here. Energy expression subject to Joule heating, thermal radiation and viscous dissipation is modeled. Entropy optimization rate is based upon thermodynamic second law. Here titanium dioxide (TiO2) and graphene oxide (GO) and water (H2O) are used as nanoliquids. Homogeneous and heterogeneous reactions have been accounted.
机译：背景：纳米材料在近年来在这一领域进行了开创性的热量运输流体的增长，良好的努力。 如今，许多科学家和研究人员都集中了他们对纳米材料研究的斗争。 纳米替米达有先进的性能，使它们在包括发动机冷却，混合动力发动机，药物工艺，冰箱和车辆热管理等各种应用中的高效性能，因此在两个可拉伸之间的磁性动力学纳米材料（TiO2 - Go）流中的熵优化如此含义。 这里讨论旋转磁盘。 通过焦耳加热，热辐射和粘性耗散的能量表达进行了建模。 熵优化率基于热力学第二法。 这里二氧化钛（TiO 2）和氧化铟烯（GO）和水（H2O）用作纳米喹硫体。 已经考虑了均匀和异质反应。

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