A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on Statistics

A novel model for a network of polymer chains is proposed considering the distribution of polymer chains inside the composite in this work. Some factors that influence the distribution of polymer chains are quantitatively investigated, such as external surface geometry, internal filler, and local de...

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Main Authors: Mengzhou Chang, Zhenqing Wang
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Polymers
Subjects:
Online Access:http://www.mdpi.com/2073-4360/10/4/426
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spelling doaj-3f9a54d236f94eee92194781258fd5c92020-11-24T23:15:50ZengMDPI AGPolymers2073-43602018-04-0110442610.3390/polym10040426polym10040426A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on StatisticsMengzhou Chang0Zhenqing Wang1College of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Aerospace and Civil Engineering, Harbin Engineering University, Harbin 150001, ChinaA novel model for a network of polymer chains is proposed considering the distribution of polymer chains inside the composite in this work. Some factors that influence the distribution of polymer chains are quantitatively investigated, such as external surface geometry, internal filler, and local deformation. Furthermore, the Maxwell stress induced by an electric field is characterized by the statistics of local charge density, as the basic analyzing electromechanical properties of materials. In particular, taking the non-uniform distribution of polymer chains into account, the electromechanical properties of two materials—VHB 4910 and CaCu3Ti4O12-polydimethylsiloxane (CCTO-PDMS)—are investigated to validate the applicability of the proposed model. The comparison between simulation results and experimental results from existing literature shows that the model was successfully employed to predict the electromechanical properties of polymer composites.http://www.mdpi.com/2073-4360/10/4/426polymer compositeelectromechanical propertymodeling and simulationparticlestatistics
collection DOAJ
language English
format Article
sources DOAJ
author Mengzhou Chang
Zhenqing Wang
spellingShingle Mengzhou Chang
Zhenqing Wang
A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on Statistics
Polymers
polymer composite
electromechanical property
modeling and simulation
particle
statistics
author_facet Mengzhou Chang
Zhenqing Wang
author_sort Mengzhou Chang
title A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on Statistics
title_short A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on Statistics
title_full A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on Statistics
title_fullStr A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on Statistics
title_full_unstemmed A Numerical Method Charactering the Electromechanical Properties of Particle Reinforced Composite Based on Statistics
title_sort numerical method charactering the electromechanical properties of particle reinforced composite based on statistics
publisher MDPI AG
series Polymers
issn 2073-4360
publishDate 2018-04-01
description A novel model for a network of polymer chains is proposed considering the distribution of polymer chains inside the composite in this work. Some factors that influence the distribution of polymer chains are quantitatively investigated, such as external surface geometry, internal filler, and local deformation. Furthermore, the Maxwell stress induced by an electric field is characterized by the statistics of local charge density, as the basic analyzing electromechanical properties of materials. In particular, taking the non-uniform distribution of polymer chains into account, the electromechanical properties of two materials—VHB 4910 and CaCu3Ti4O12-polydimethylsiloxane (CCTO-PDMS)—are investigated to validate the applicability of the proposed model. The comparison between simulation results and experimental results from existing literature shows that the model was successfully employed to predict the electromechanical properties of polymer composites.
topic polymer composite
electromechanical property
modeling and simulation
particle
statistics
url http://www.mdpi.com/2073-4360/10/4/426
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