Purpose

Analyzing and reducing entropy generation is useful for enhancing the thermodynamic performance of engineering systems. This study aims to explore how polymers and nanoparticles in the presence of Lorentz forces influence the fluid behavior and heat transfer characteristics to lessen energy loss and entropy generation.

Design/methodology/approach

The dispersion model is initially used to examine the behavior of polymer additives over a magnetized surface. The governing system of partial differential equations (PDEs) is subsequently reduced through the utilization of similarity transformation techniques. Entropy analysis is primarily performed through the implementation of numerical computations on a non-Newtonian polymeric FENE-P model.

Findings

The numerical simulations conducted in the presence of Lorentz forces provide significant insights into the consequences of adding polymers to the base fluid. The findings suggest that such an approach minimizes entropy in the flow region. Through the utilization of polymer-MHD (magnetohydrodynamic) interactions, it is feasible to reduce energy loss and improve the efficiency of the system.

Originality/value

This study’s primary motivation and novelty lie in examining the significance of polymer additives as agents that reduce entropy generation on a magnetic surface. The author looks at how nanofluids affect the development of entropy and the loss of irreversibility. To do this, the author uses the Lorentz force, the Soret effect and the Dufour effect to minimize entropy. The findings contribute to fluid mechanics and thermodynamics by providing valuable insights for engineering systems to increase energy efficiency and conserve resources.

中文翻译：

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聚合物 MHD 纳米流体行为的数值研究：熵优化和热分析

 目的

分析和减少熵的产生对于增强工程系统的热力学性能很有用。本研究旨在探索洛伦兹力存在下聚合物和纳米颗粒如何影响流体行为和传热特性，以减少能量损失和熵产生。

设计/方法论/途径

色散模型最初用于检查聚合物添加剂在磁化表面上的行为。随后通过利用相似变换技术来简化偏微分方程（PDE）的控制系统。熵分析主要通过在非牛顿聚合 FENE-P 模型上实施数值计算来进行。

 发现

在洛伦兹力存在下进行的数值模拟为了解在基液中添加聚合物的后果提供了重要的见解。研究结果表明，这种方法可以最大限度地减少流动区域的熵。通过利用聚合物-MHD（磁流体动力学）相互作用，可以减少能量损失并提高系统效率。

 原创性/价值

这项研究的主要动机和新颖性在于研究聚合物添加剂作为减少磁性表面熵产生的试剂的重要性。作者研究了纳米流体如何影响熵的发展和不可逆性的丧失。为此，作者利用洛伦兹力、索雷效应和杜福尔效应来最小化熵。这些发现为工程系统提供了宝贵的见解，以提高能源效率和节约资源，从而对流体力学和热力学做出了贡献。