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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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 |
work_keys_str_mv |
AT mengzhouchang anumericalmethodcharacteringtheelectromechanicalpropertiesofparticlereinforcedcompositebasedonstatistics AT zhenqingwang anumericalmethodcharacteringtheelectromechanicalpropertiesofparticlereinforcedcompositebasedonstatistics AT mengzhouchang numericalmethodcharacteringtheelectromechanicalpropertiesofparticlereinforcedcompositebasedonstatistics AT zhenqingwang numericalmethodcharacteringtheelectromechanicalpropertiesofparticlereinforcedcompositebasedonstatistics |
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1725589305111347200 |