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Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black
Joint Authors
Merzouki, Abdelhafid
Haddaoui, Nacerddine
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-14
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Composites of polypropylene filled with carbon black or acetylene black at different concentrations were prepared by melt mixing followed by compression molding.
The influences of filler type and filler concentration on the composites conductivity were studied.
It was found that the percolation threshold is located at a lower concentration in composites filled with the acetylene black, than that of the composites filled with carbon black.
The model of Mamunya gives a fairly good agreement in the evaluation of the conductivity of polymeric composites loaded with carbon black or acetylene black, beyond the percolation threshold.
The Boltzman equation was adopted to develop a model that represents more faithfully all results obtained.
The expressions of the electrical conductivity, calculated with the model developed, are in good agreement with experimental results for the entire concentration range studied in linear or semilogarithmic scale.
American Psychological Association (APA)
Merzouki, Abdelhafid& Haddaoui, Nacerddine. 2012. Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black. ISRN Polymer Science،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-476024
Modern Language Association (MLA)
Merzouki, Abdelhafid& Haddaoui, Nacerddine. Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black. ISRN Polymer Science No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-476024
American Medical Association (AMA)
Merzouki, Abdelhafid& Haddaoui, Nacerddine. Electrical Conductivity Modeling of Polypropylene Composites Filled with Carbon Black and Acetylene Black. ISRN Polymer Science. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-476024
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476024