This paper deals with the entropy optimization and heat transport of magneto-nanomaterial flow of non-Newtonian (Jeffrey fluid) towards a curved stretched surface. MHD fluid is accounted. The modeling of energy expression is developed subject to Brownian diffusion, Joule (Ohmic) heating, thermophoresis and viscous dissipation. Total entropy rate is discussed with the help of fluid friction irreversibility, mass transfer irreversibility, Joule heating irreversibility and heat transfer irreversibility. Binary chemical reaction with the smallest amount of activation energy is further considered. The governing equations of Jeffrey fluid with effects of hydrodynamic, thermal radiation, heat and mass transfer were solved through built-in-shooting method. The flow variables on the entropy rate, velocity field, concentration, Bejan number, skin friction coefficient and temperature are physically discussed through various graphs. The outcomes reveal that the entropy rate increases with an enhancement in curvature parameter. Such obtained outcomes help in mechanical and industrial engineering sciences. Moreover, the velocity and temperature decays versus ratio of relaxation to retardation times are also noticed.

中文翻译：

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非牛顿纳米材料耗散流中活化能的二元化学反应

本文讨论了非牛顿（杰弗里流体）的磁纳米材料流向弯曲拉伸表面的熵优化和热传输。计算 MHD 流体。能量表达的建模受到布朗扩散、焦耳（欧姆）加热、热泳和粘性耗散的影响。借助流体摩擦不可逆性、传质不可逆性、焦耳热不可逆性和传热不可逆性讨论了总熵率。进一步考虑具有最小活化能的二元化学反应。采用内射法求解了受流体动力、热辐射、传热传质影响的Jeffrey流体控制方程。熵率、速度场、浓度、贝让数、皮肤摩擦系数和温度通过各种图表进行物理讨论。结果表明熵率随着曲率参数的增加而增加。这些获得的成果有助于机械和工业工程科学。此外，还注意到速度和温度衰减与弛豫与延迟时间的比率。