带指数热源的电渗透叶灵-鲍威尔流体通过拉伸板的有限元分析-一种人工神经网络方法

S. Ramprasad, Nagabhushana Pulla, Y. S. Kalyan Chakravarthy
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引用次数: 0

摘要

本文对沿拉伸板的二维电渗透艾灵-鲍威尔流体流动进行了数值分析。修正后的控制方程采用有限元法求解。用图形显示了在无量纲速度场和温度场中若干相关因素的各种性质。将所得结果与前人的研究结果进行了比较,以证实数值解的准确性。随着磁参量和Eckret数的增大,速度减小。该研究对流态化、环境污染物和农业具有指导意义。在本研究中,计算流体力学(CFD)模拟和人工神经网络(ANN)模型都被采用。
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Finite element analysis for electro-osmotic Erying-Powell fluid flow past a stretching sheet with an exponential heat source - an ANN approach
This paper gives the numerical analysis for an electro-osmotic Eyring-Powell fluid flow that is in two dimensions along a stretched sheet. The modified governing equations are resolved by the finite element technique. Graphs are used to display the various properties for several relevant factors on dimensionless velocity and temperature fields. The results are compared with previous findings in order to confirm the accuracy of the numerical solution. There appears to be a decrease in velocity when the magnetic parameter and Eckret number increase. This study has implications for fluidization, environmental pollutants, and agriculture. In this study, computational fluid dynamics (CFD) simulations and an artificial neural network (ANN) model are both employed.
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