Modeling Ionic Polymer Metal Composites with COMSOL: Step-by-Step Guide

多物理 有限元法 计算机科学 机械工程 边值问题 工程类 物理 结构工程 量子力学
作者
David Pugal,Tyler Stalbaum,Viljar Palmre,Kwang J. Kim
出处
期刊:The Royal Society of Chemistry eBooks [The Royal Society of Chemistry]
卷期号:: 185-214 被引量:13
标识
DOI:10.1039/9781782622581-00185
摘要

Considerable effort has been put into modeling the physics of the electromechanical transduction phenomenon of ionic polymer metal composites (IPMCs). A broad way to categorize the existing models is by how the underlying physics is described. The first category is made up of rather empirical current-displacement relation models, often based on the electric circuit equivalent description. The second category of the models explicitly considers the ionic flux inside the material. In this chapter, we consider the latter, namely physics-based IPMC electromechanical and mechanoelectrical transduction models. Although the basic equations of the physics-based models of IPMCs have been established, it can take a significant amount of time and effort to implement them for calculations. Furthermore, freely available basic models of IPMCs would greatly benefit researchers and engineers by being a basis for developing more complicated models according to the research or design needs. To make the fundamental models of IPMCs more applicable in system and application designs, an explicit foundation of how to implement the equations is needed. Therefore, the FEM-based implementation of the model with all necessary boundary conditions is presented—this is called the modeling framework of IPMCs. Step-by-step guidelines of how to implement a basic model of IPMCs in COMSOL Multiphysics® modeling software are provided. COMSOL Multiphysics® is a registered trademark of COMSOL AB. The underlying equations and boundary conditions for the electromechanical and mechanoelectrical transduction model implementations are explicitly described first. Thereafter, sample models with illustrations are introduced followed by a brief analysis of modeling results.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
杨振发布了新的文献求助10
2秒前
joviwong823发布了新的文献求助20
3秒前
3秒前
611发布了新的文献求助10
3秒前
我是大兴发布了新的文献求助10
5秒前
天天快乐应助rockxie采纳,获得10
6秒前
6秒前
在水一方应助6666666666采纳,获得10
7秒前
7秒前
上官若男应助李珺鹭采纳,获得10
7秒前
兴奋仙人掌完成签到,获得积分10
8秒前
8秒前
东方欲晓完成签到,获得积分10
9秒前
Akim应助lwh采纳,获得10
10秒前
12秒前
勤恳马里奥完成签到,获得积分0
12秒前
hnxxangel发布了新的文献求助10
12秒前
李爱国应助spz采纳,获得10
12秒前
星海梦幻发布了新的文献求助10
13秒前
李帅帅发布了新的文献求助10
13秒前
牧青发布了新的文献求助10
13秒前
怕黑匕完成签到 ,获得积分10
14秒前
15秒前
五月好难完成签到,获得积分10
15秒前
橙花完成签到,获得积分10
15秒前
背后的若雁完成签到,获得积分10
16秒前
上蹿下跳的猹完成签到,获得积分10
17秒前
yunfulu29发布了新的文献求助10
18秒前
肽聚糖发布了新的文献求助10
20秒前
今后应助巫颤采纳,获得10
20秒前
Neuronicus完成签到,获得积分10
21秒前
Jolleyhaha完成签到 ,获得积分10
23秒前
WKD完成签到,获得积分10
23秒前
24秒前
25秒前
26秒前
sunzhuxi发布了新的文献求助10
26秒前
27秒前
27秒前
27秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361246
求助须知:如何正确求助?哪些是违规求助? 8175098
关于积分的说明 17220712
捐赠科研通 5416113
什么是DOI,文献DOI怎么找? 2866179
邀请新用户注册赠送积分活动 1843444
关于科研通互助平台的介绍 1691442