Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Alternating current electrical property prediction method of graphene porous nanocomposite material

A technology of nanocomposite materials and prediction methods, which is applied in the field of AC conductivity and dielectric prediction of graphene-polymer porous nanocomposites, and can solve problems such as high cost and difficulty in fully exploring the mechanism of interface effects

Active Publication Date: 2019-12-03
CENT SOUTH UNIV
View PDF9 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention solves the problem that the research method of the AC electrical properties of the nanocomposite material in the prior art has a high cost and it is difficult to comprehensively explore the mechanism of the interface effect

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Alternating current electrical property prediction method of graphene porous nanocomposite material
  • Alternating current electrical property prediction method of graphene porous nanocomposite material
  • Alternating current electrical property prediction method of graphene porous nanocomposite material

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0134] In order to facilitate understanding of the present invention, the present invention will be fully described below in conjunction with the embodiments. A method for predicting the alternating current electrical properties of graphene / epoxy resin porous nanocomposites with consistent orientation based on the effective medium method of an embodiment of the present invention, the prediction method comprising the following steps:

[0135] 1. Measure the geometric parameters and electrical properties of graphene, polymer and air respectively, and the result is: the slenderness ratio of graphene α g =2.9×10 -4 , thickness λ=50nm, in-plane conductivity σ 1 =8.32×10 4 S / m, out-of-plane conductivity σ 3 =10 -3 σ 1 , the in-plane dielectric ε 1 =15ε vac , out-of-plane dielectric ε 3 =10ε vac ; Conductivity σ of the polymer 0 =3.0×10 -10 S / m, dielectric ε 0 / ε vac =2.38. Look up the table to get the conductivity σ of the air air =8.0×10 -15 S / m, dielectric ε air / ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

PropertyMeasurementUnit
thicknessaaaaaaaaaa
electrical conductivityaaaaaaaaaa
electrical conductivityaaaaaaaaaa
Login to View More

Abstract

The invention relates to an alternating current conductivity and dielectricity prediction method of a graphene-polymer porous nanocomposite material with consistent orientation based on an effective medium method. The prediction method comprises the following five steps of 1, testing the geometrical parameters and the electrical properties of a component material; 2, preparing a graphene-polymer porous nanocomposite material sample; 3, establishing an equivalent alternating current conductivity and dielectricity prediction model; 4, calculating and extracting the material parameters and obtaining a complete prediction model; and 5, obtaining a prediction curve and checking the prediction model. According to the method, the influence of the microstructures and / or the parameters such as theporosity, the graphene content, a slenderness ratio of graphene, a maximum included angle between the graphene, a percolation threshold and the like on the electrical properties of a product is mainlyconsidered, and the prediction model is re-established. After the model is checked, a prediction result is found to be closer to an experiment value.

Description

technical field [0001] The invention relates to the technical field of graphene nano-composite averaging, in particular to a method for predicting AC conductivity and dielectric properties of graphene-polymer porous nano-composites with consistent orientation based on effective medium method. Background technique [0002] Graphene is a monolayer atomic thickness sp 2 Carbon-linked two-dimensional layered structures. Each carbon atom is linked to three other carbon atoms in an atomic-scale hexagonal lattice configuration in the shape of a honeycomb. Graphene has excellent mechanical and electrical properties, and is the hardest substance known so far. Since each carbon atom has 4 free electrons, and only three electrons are chemically linked, the remaining one electron is highly mobile. This makes graphene have extremely strong conductivity in the basic plane, and can realize functions such as nanocapacitors and electromagnetic shielding. It has important applications in a...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G01R27/26G01N23/2251G06F17/10
CPCG01N23/2251G01R27/2617G01R31/00G06F17/10
Inventor 夏晓东李玲香李杨李显方王宁波肖厦子张雪阳
Owner CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com