离子聚合物的多物理场耦合束模型：静态和动态响应的解决方案

IF 3.4 3区材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY

Mechanics of Materials Pub Date : 2025-03-20 DOI:10.1016/j.mechmat.2025.105335

Yiming Fan , Luke Zhao , Qiufeng Yang , Feng Jin

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引用次数: 0

摘要

以Nafion为典型代表的离子聚合物在各个领域得到了广泛的应用。在本文中，我们建立了一个新的模型来揭示离子聚合物束的多物理场耦合特性。该模型的一个关键优势是它能够提供分析解决方案，消除了对有限元方法的需要，同时有效地捕获离子聚合物梁的各种响应。通过该模型，我们系统地研究了离子聚合物-金属复合材料（IPMCs）作为力传感器的静态和谐波振动特性，并进行了全面的参数分析。具体来说，我们探讨了扩散系数、介电常数、水合阳离子的摩尔体积和阴离子浓度对IPMC性能的影响。结果表明，该模型在描述离子聚合物的多物理场耦合行为方面具有很强的适用性，为该类传感器的设计和优化提供了有力的工具。

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A multi-physics coupled beam model for ionic polymers: Solutions for static and dynamic responses

Ionic polymers, with Nafion as a typical representative, have been widely applied in various fields. In this paper, we develop a new model that reveals the multi-physics coupling properties of ionic polymer beams. A key advantage of this model is its ability to provide analytical solutions, eliminating the need for finite element methods while effectively capturing the various responses of ionic polymer beams. Through this model, we systematically investigate the static and harmonic vibration characteristics of ionic polymer-metal composites (IPMCs) as force sensors and perform a comprehensive parametric analysis. Specifically, we explore how diffusion coefficient, permittivity, molar volume of hydrated cations, and anion concentration influence IPMC performance. The results highlight the strong applicability of the model in describing the multi-physics coupled behavior of ionic polymers, making it a powerful tool for the design and optimization of this class of sensors.

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来源期刊

Mechanics of Materials 工程技术-材料科学：综合

CiteScore

7.60

自引率

5.10%

发文量

243

审稿时长

46 days

期刊介绍： Mechanics of Materials is a forum for original scientific research on the flow, fracture, and general constitutive behavior of geophysical, geotechnical and technological materials, with balanced coverage of advanced technological and natural materials, with balanced coverage of theoretical, experimental, and field investigations. Of special concern are macroscopic predictions based on microscopic models, identification of microscopic structures from limited overall macroscopic data, experimental and field results that lead to fundamental understanding of the behavior of materials, and coordinated experimental and analytical investigations that culminate in theories with predictive quality.