Evaluation and development of electrical conductivity models for nickel nanostrand polymer composites

2014 ◽  
Vol 55 (3) ◽  
pp. 549-557 ◽  
Author(s):  
Nathan Hansen ◽  
Daniel O. Adams ◽  
David T. Fullwood
2001 ◽  
Vol 83 (6) ◽  
pp. 1341-1356 ◽  
Author(s):  
Matthew L. Clingerman ◽  
Julia A. King ◽  
Kirk H. Schulz ◽  
Jeffrey D. Meyers

2013 ◽  
Vol 2013 ◽  
pp. 1-14 ◽  
Author(s):  
Rafael Vargas-Bernal ◽  
Gabriel Herrera-Pérez ◽  
Ma. Elena Calixto-Olalde ◽  
Margarita Tecpoyotl-Torres

The design of nanometric electronic devices requires novel materials for improving their electrical performance from stages of design until their fabrication. Until now, several DC electrical conductivity models for composite materials have been proposed. However, these models must be valued to identify main design parameters that more efficiently control the electrical properties of the materials to be developed. In this paper, four different models used for modeling DC electrical conductivity of carbon nanotube-polymer composites are studied with the aim of obtaining a complete list of design parameters that allow guarantying to the designer an increase in electrical properties of the composite by means of carbon nanotubes.


Polymers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1250 ◽  
Author(s):  
Oladipo Folorunso ◽  
Yskandar Hamam ◽  
Rotimi Sadiku ◽  
Suprakas Sinha Ray ◽  
Adekoya Gbolahan Joseph

The problem associated with mixtures of fillers and polymers is that they result in mechanical degradation of the material (polymer) as the filler content increases. This problem will increase the weight of the material and manufacturing cost. For this reason, experimentation on the electrical conductivities of the polymer-composites (PCs) is not enough to research their electrical properties; models have to be adopted to solve the encountered challenges. Hitherto, several models by previous researchers have been developed and proposed, with each utilizing different design parameters. It is imperative to carry out analysis on these models so that the suitable one is identified. This paper indeed carried out a comprehensive parametric analysis on the existing electrical conductivity models for polymer composites. The analysis involves identification of the parameters that best predict the electrical conductivity of polymer composites for energy storage, viz: (batteries and capacitor), sensors, electronic device components, fuel cell electrodes, automotive, medical instrumentation, cathode scanners, solar cell, and military surveillance gadgets applications. The analysis showed that the existing models lack sufficient parametric ability to determine accurately the electrical conductivity of polymer-composites.


2007 ◽  
Vol 28 (2) ◽  
pp. 168-174 ◽  
Author(s):  
Julia A. King ◽  
Jason M. Keith ◽  
Ryan C. Smith ◽  
Faith A. Morrison

2020 ◽  
Vol 1 (3) ◽  
pp. 99-107
Author(s):  
Ekaterina S. Tsobkallo ◽  
Olga A. Moskalyuk ◽  
Vladimir E. Yudin ◽  
Andrey N. Aleshin

RSC Advances ◽  
2016 ◽  
Vol 6 (27) ◽  
pp. 22364-22369 ◽  
Author(s):  
Zhiduo Liu ◽  
Dianyu Shen ◽  
Jinhong Yu ◽  
Wen Dai ◽  
Chaoyang Li ◽  
...  

Three dimensional graphene foam incorporated into epoxy matrix greatly enhance its thermal conductivity (up to 1.52 W mK−1) at low graphene foam loading (5.0 wt%), over an eight-fold enhancement in comparison with that of neat epoxy.


2008 ◽  
Vol 48 (11) ◽  
pp. 2090-2097 ◽  
Author(s):  
Qinghua Zhang ◽  
Hui Xiong ◽  
Weixia Yan ◽  
Dajun Chen ◽  
Meifang Zhu

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