The thermal management of a system needs an accurate and efficient measurement of exergy. For optimal performance, entropy should be minimized. This study explores the enhancement of the thermal exchange and entropy in the stream of Eyring–Powell fluid comprising nanoparticles saturating the vertical oriented dual cylindrical domain with uniform thermal conductivity and viscous dissipation effects. A symmetrical sine wave over the walls is used to induce the flow. The mathematical treatment for the conservation laws are described by a set of PDEs, which are, later on, converted to ordinary differential equations by homotopy deformations and then evaluated on the Mathematica software tool. The expression of the pressure rise term has been handled numerically by using numerical integration by Mathematica through the algorithm of the Newton–Cotes formula. The impact of the various factors on velocity, heat, entropy profile, and the Bejan number are elaborated pictorially and tabularly. The entropy generation is enhanced with the variation of viscous dissipation but reduced in the case of the concentration parameter, but viscous dissipation reveals opposite findings for the Newtonian fluid. From the abovementioned detailed discussion, it can be concluded that Eyring–Powell shows the difference in behavior in the entropy generation and in the presence of nanoparticles due to the significant dissipation effects, and also, it travels faster than the viscous fluid. A comparison between the Eyring-Powell and Newtonian fluid are also made for each pertinent parameter through special cases. This study may be applicable for cancer therapy in biomedicine by nanofluid characteristics in various drugs considered as a non-Newtonian fluid.

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Eyring-Powell纳米流体的三维波浪流的熵分析：比较研究

系统的热管理需要准确有效的火用测量。为了获得最佳性能，应将熵降至最低。这项研究探索了包含纳米颗粒的Eyring-Powell流体流中热交换和熵的增强，该纳米颗粒将垂直定向的双圆柱域浸透，具有均匀的热导率和粘性耗散效应。壁上的对称正弦波用于感应流动。守恒律的数学处理由一组PDE来描述，然后通过同构变形将其转换为常微分方程，然后在Mathematica软件工具上进行评估。Mathematica使用牛顿-科茨公式的算法通过数值积分对压力升高项的表达式进行了数值处理。以图形和表格形式详细说明了各种因素对速度，热量，熵分布和Bejan数的影响。熵的产生随着粘性耗散的变化而增加，但是在浓度参数的情况下减小，但是粘性耗散揭示了牛顿流体的相反发现。从上面的详细讨论中可以得出结论，由于显着的耗散效应，Eyring-Powell在熵产生和存在纳米粒子方面表现出行为差异，并且其传播速度比粘性流体还快。通过特殊情况，还针对每个相关参数对Eyring-Powell流体和牛顿流体进行了比较。这项研究可能被认为是非牛顿流体的各种药物中的纳米流体特性可用于生物医学中的癌症治疗。