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Optimization of entropy generation and dissipative nonlinear radiative Von Karman’s swirling flow with Soret and Dufour effects
Journal of Molecular Liquids ( IF 5.3 ) Pub Date : 2018-04-08
Sumaira Qayyum, T. Hayat, Muhammad Ijaz Khan, Muhammad Imran Khan, A. Alsaedi

A computational investigation has been accomplished on nonlinear radiative flow between two impermeable stretchable rotating disks. thermo-diffusion and diffusion-thermo effects are also implemented. Furthermore nonlinear radiative heat flux, heat source/sink, dissipation and chemical reaction are considered. Thermodynamics second law is used for the investigation of entropy generation and Bejan number. Total entropy generation is inspected for various flow variables. Von Karman similarity transformations are utilized to develop coupled nonlinear ordinary differential systems and then tackled by semi computational/analytical technique namely homotopy technique. Particular consideration is given to the convergence procedure. The impacts of different flow variables like magnetic interaction, porosity, thermal diffusion, Prandtl number, diffusion thermo, radiative flux, heat source/sink, Schmidt number and chemical reaction variables on fluid velocity, concentration, temperature, volumetric entropy generation rate and Bejan number are discussed and analyzed. Velocity, temperature and concentration gradients at the disk surface are calculated numerically and discussed through Tables. Velocity reduces for both Hartman number and porosity parameter. Hartman number and radiation parameter enhances the entropy generation and Bejan number. Final conclusions of present flow analysis have been presented through concluding remarks.



中文翻译:

具有Soret和Dufour效应的熵产生和耗散非线性辐射Von Karman旋流的优化

已经对两个不可渗透的可拉伸旋转盘之间的非线性辐射流进行了计算研究。还实现了热扩散和扩散热效应。此外,还考虑了非线性辐射热通量,热源/热沉,耗散和化学反应。热力学第二定律用于研究熵的生成和贝詹数。检查各种流量变量的总熵生成。冯·卡曼相似度变换被用于开发耦合的非线性常微分系统,然后通过半计算/分析技术(即同伦技术)解决。特别考虑了收敛过程。不同流量变量的影响,例如磁相互作用,孔隙率,热扩散,普朗特数,讨论并分析了扩散热,辐射通量,热源/热沉,施密特数以及化学反应变量对流体速度,浓度,温度,体积熵产生率和贝詹数的影响。通过数值计算圆盘表面的速度,温度和浓度梯度,并通过表进行讨论。对于Hartman数和孔隙率参数,速度都会降低。Hartman数和辐射参数增强了熵的生成和Bejan数。目前的流量分析的最终结论已通过总结性发言提出。数值计算了磁盘表面的温度和浓度梯度,并通过表进行了讨论。对于Hartman数和孔隙率参数,速度都会降低。Hartman数和辐射参数增强了熵的生成和Bejan数。目前的流量分析的最终结论已通过总结性发言提出。数值计算了磁盘表面的温度和浓度梯度,并通过表进行了讨论。Hartman数和孔隙率参数的速度都会降低。Hartman数和辐射参数增强了熵的生成和Bejan数。目前的流量分析的最终结论已通过总结性发言提出。

更新日期:2018-04-08
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