Low frequency AC conduction and dielectric spectroscopy investigations on graphene oxide using dielectric modulus approach

2021 ◽  
pp. 108633
Author(s):  
Ramesh Kumar ◽  
Amarjeet Kaur
Keyword(s):  
Graphene Oxide ◽  
Dielectric Spectroscopy ◽  
Low Frequency ◽  
Dielectric Modulus ◽  
Ac Conduction

scholarly journals Broadband dielectric spectroscopy for monitoring temperature-dependent chloride ion motion in BiOCl plates

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Adrian Radoń ◽  
Dariusz Łukowiec ◽  
Patryk Włodarczyk
Keyword(s):  
Electrical Conductivity ◽  
Dielectric Spectroscopy ◽  
Low Frequency ◽  
Chloride Ion ◽  
Ion Source ◽  
Chloride Ions ◽  
Ion Concentration ◽  
Broadband Dielectric Spectroscopy ◽  
Free Chloride ◽  
Structure Rebuilding

AbstractThe dielectric properties and electrical conduction mechanism of bismuth oxychloride (BiOCl) plates synthesized using chloramine-T as the chloride ion source were investigated. Thermally-activated structure rebuilding was monitored using broadband dielectric spectroscopy, which showed that the onset temperature of this process was 283 K. This rebuilding was related to the introduction of free chloride ions into [Bi2O2]2+ layers and their growth, which increased the intensity of the (101) diffraction peak. The electrical conductivity and dielectric permittivity were related to the movement of chloride ions between plates (in the low-frequency region), the interplanar motion of Cl− ions at higher frequencies, vibrations of these ions, and charge carrier hopping at frequencies above 10 kHz. The influence of the free chloride ion concentration on the electrical conductivity was also described. Structure rebuilding was associated with a lower concentration of free chloride ions, which significantly decreased the conductivity. According to the analysis, the BiOCl plate conductivity was related to the movement of Cl− ions, not electrons.

Characterisation of water behaviour in cellulose ether polymers using low frequency dielectric spectroscopy

2002 ◽  
Vol 243 (1-2) ◽  
pp. 57-69 ◽  
Author(s):  
C.B. McCrystal ◽  
J.L. Ford ◽  
R. He ◽  
D.Q.M. Craig ◽  
A.R. Rajabi-Siahboomi
Keyword(s):  
Dielectric Spectroscopy ◽  
Low Frequency ◽  
Cellulose Ether

scholarly journals Dielectric spectroscopy of isotropic liquids and liquid crystal phases with dispersed graphene oxide

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Shakhawan Al-Zangana ◽  
Maria Iliut ◽  
Gökçen Boran ◽  
Michael Turner ◽  
Aravind Vijayaraghavan ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Liquid Crystal ◽  
Dielectric Spectroscopy ◽  
Crystal Phases ◽  
Liquid Crystal Phases

Confining Tiny MoO 2 Clusters into Reduced Graphene Oxide for Highly Efficient Low Frequency Microwave Absorption

Small ◽  
2020 ◽  
Vol 16 (30) ◽  
pp. 2001686 ◽  
Author(s):  
Cao Wu ◽  
Zhaofeng Chen ◽  
Meiling Wang ◽  
Xun Cao ◽  
Yong Zhang ◽  
...  
Keyword(s):  
Graphene Oxide ◽  
Reduced Graphene Oxide ◽  
Microwave Absorption ◽  
Low Frequency ◽  
Highly Efficient ◽  
Reduced Graphene

Low-frequency dielectric spectroscopy of colloidal suspensions

2002 ◽  
Vol 305 (1-3) ◽  
pp. 386-392 ◽  
Author(s):  
Constantino Grosse ◽  
Mónica Cecilia Tirado
Keyword(s):  
Dielectric Spectroscopy ◽  
Low Frequency ◽  
Colloidal Suspensions

Combined low-frequency and microwave dielectric spectroscopy

2012 ◽  
Vol 20 (2) ◽  
pp. 134-136 ◽  
Author(s):  
A. K. Malyshkin ◽  
Yu. A. Pirogov
Keyword(s):  
Dielectric Spectroscopy ◽  
Low Frequency ◽  
Microwave Dielectric

scholarly journals Prediction of Moisture and Aging Conditions of Oil-Immersed Cellulose Insulation Based on Fingerprints Database of Dielectric Modulus

Polymers ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1722
Author(s):  
Yiyi Zhang ◽  
Sheng Li ◽  
Xianhao Fan ◽  
Jiefeng Liu ◽  
Jiaxi Li
Keyword(s):  
Low Frequency ◽  
Degree Of Polymerization ◽  
Transformer Oil ◽  
Electrode Polarization ◽  
Insulation System ◽  
Dielectric Modulus ◽  
Aging Conditions ◽  
Fingerprint Database ◽  
Cellulose Insulation ◽  
Potential Tool

Frequency-domain spectroscopy (FDS) is demonstrated to be affected by electrode polarization and conductance behavior in the low-frequency ranges, which causes the unreliable prediction results of transformer cellulose insulation. In order to solve this issue, a fingerprint database based on the dielectric modulus is reported to predict the degree of polymerization (DP) and moisture content of cellulose insulation. In the current work, the relevant fingerprints that characterize the insulation conditions are obtained by studying the dielectric modulus curves of cellulose insulation with various insulation conditions, as well as the DC conductivity of transformer oil. Then, the dielectric modulus fingerprint database is established in the lab, and the accuracy of the reported fingerprint database is later verified. As a potential tool, the dielectric modulus fingerprint database is tested by several samples, and the results demonstrate that the accuracy of this method is more than 80%. In that respect, an interesting discovery of this paper is that the dielectric modulus fingerprint database may be a helpful tool for conditions prediction of the transformer cellulose insulation system.

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