倾斜通道中的磁流体滑移流引起的焦耳加热效应

Pub Date : 2024-07-12 DOI:10.24425/ather.2024.151219
Jagadeeshwar Pashikanti, Santhosh Thota, Susmitha Priyadharshini
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引用次数: 0

摘要

具有较高热导率的氧化石墨烯纳米粒子有助于增强磁流体动力设备(如磁力泵)中的流动和热量传输。对这类应用前景广阔的设备进行建模,本质上需要进行熵研究,以确保模型的高效性。本研究从理论上研究了氧化石墨烯在倾斜通道中的磁流体流动中的熵产生。所使用的 Buongiorno 纳米流体模型包括纳米粒子属性的影响,即热泳和布朗扩散以及粘性耗散效应。采用切比雪夫多项式的谱准线性化方法来求解滑移条件下的微分方程。在研究植入参数的影响时,结论是哈特曼数对传导传热的增强作用显著。贝扬数大于 0.9,因此传热主要导致熵的产生。特殊情况下的结果与文献中的结果非常吻合。此外,研究还得出结论,熵主要是由热传递产生的。
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Effects of Joule heating due to magnetohydrodynamic slip flow in an inclined channel
Graphene oxide nanoparticles with higher thermal conductivity aid in enhancing the flow and heat transport in magnetohy-drodynamic devices such as magnetohydrodynamic pumps. Modelling such devices with promising applications inherently necessitates entropy studies to ensure efficient models. This investigation theoretically studies the entropy generation in magnetohydrodynamic flow of graphene oxide in an inclined channel. Buongiorno nanofluid model is used including the impacts of nanoparticle attributes, namely thermophoretic and Brownian diffusion along with viscous dissipation effects. The spectral quasi-linearization method with Chebyshev’s polynomials is adapted to solve the differential equations under slip conditions. On studying the effects of implanted parameters, it is concluded that the conductive heat transfer enhancement by the Hartmann number is remarked. The Bejan number is found to be greater than 0.9 and hence, heat transfer primarily causes the entropy generation. A good agreement is found between the results for special cases and the results from the literature. Furthermore, investigations conclude that entropy is contributed primarily by heat transfer.
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