FENE-P 粘弹性模型的熵优化:数值指导下的综合分析

IF 3 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Journal of Thermal Analysis and Calorimetry Pub Date : 2024-08-28 DOI:10.1007/s10973-024-13478-w
Razi Khan, Eugenia Rossi di Schio, Paolo Valdiserri
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引用次数: 0

摘要

聚合物对熵生成过程的影响很大,尤其是在流体动力学和流变学领域。FENE-P(有限延伸非线性弹性-Peterlin)模型将聚合物的动力学描述为速度梯度引起的拉伸与将聚合物恢复到平衡位置的弹性力之间相互作用的结果。FENE-P 等模型有助于理解和预测聚合物的流动行为,从而通过优化系统设计减少熵的产生。该模型采用连续体方法来表达热通量矢量和聚合物确认张量。研究调查了聚合物构象、流动动力学和热传递之间的复杂关系,同时考虑到热泳(索雷特效应)和质量扩散-热扩散耦合(杜福尔效应)现象,从而通过减少熵来优化工艺。这项研究阐明了聚合物在熵最小化、改进工程设计方法以及材料科学、化学工程和流体动力学应用方面的重要作用。因此,聚合物的存在会大幅降低系统的总熵。这种认识为增强传热系统提供了机会,从而促进了更高效和可持续技术的发展。
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Entropy optimization of a FENE-P viscoelastic model: a numerically guided comprehensive analysis

The influence of polymers on entropy generation processes is substantial, particularly in the fields of fluid dynamics and rheology. The FENE-P (Finitely Extensible Nonlinear Elastic-Peterlin) model describes the polymer’s dynamics as a result of the interaction between the stretching caused by the velocity gradient and the elastic force that restores the polymer to its equilibrium position. Models such as FENE-P aid in understanding and predicting polymer flow behaviour allowing for the reduction of entropy generation by optimizing system designs. A continuum approach is employed to express the heat flux vector and polymer confirmation tensor of the model. The study investigates the complex relationship between polymer conformation, flow dynamics, and heat transfer taking into account the thermophoresis (Soret effect) and mass diffusion-thermal diffusion coupling (Dufour effect) phenomena to optimize processes by reducing entropy. This study illuminates polymer’s significance in entropy minimization, improving engineering design methodologies and applications in materials science, chemical engineering, and fluid dynamics. As result, the presence of polymers leads to a substantial decrease in the total entropy of the system. This understanding provides opportunities for enhancing heat transfer systems, thereby facilitating the development of more efficient and sustainable technology.

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来源期刊
CiteScore
8.50
自引率
9.10%
发文量
577
审稿时长
3.8 months
期刊介绍: Journal of Thermal Analysis and Calorimetry is a fully peer reviewed journal publishing high quality papers covering all aspects of thermal analysis, calorimetry, and experimental thermodynamics. The journal publishes regular and special issues in twelve issues every year. The following types of papers are published: Original Research Papers, Short Communications, Reviews, Modern Instruments, Events and Book reviews. The subjects covered are: thermogravimetry, derivative thermogravimetry, differential thermal analysis, thermodilatometry, differential scanning calorimetry of all types, non-scanning calorimetry of all types, thermometry, evolved gas analysis, thermomechanical analysis, emanation thermal analysis, thermal conductivity, multiple techniques, and miscellaneous thermal methods (including the combination of the thermal method with various instrumental techniques), theory and instrumentation for thermal analysis and calorimetry.
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