Experimental and analytical model for the electrical conductivity of polymer-based nanocomposites (Record no. 55141)

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control field 20250625162500.0
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Transcribing agency CICY
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Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) B-21063
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Title Experimental and analytical model for the electrical conductivity of polymer-based nanocomposites
490 0# - SERIES STATEMENT
Volume/sequential designation Composites Science and Technology, 123, p.17-31, 2016
520 3# - SUMMARY, ETC.
Summary, etc. In this research, an analytical formula has been developed to predict electrical conductivity of composites reinforced by conductive fillers such as polymer-based carbon composites. In this model, the percolation threshold phenomenon in the curve of electrical conductivity versus the filler volume fraction is represented by a sigmoidal equation. Moreover, four variables, consist of the filler electrical conductivity, filler aspect ratio, filler roundness, and wettability are included in the sigmoidal equation in specific sites. in this research in order to validation of model, some composites are provided by graphite, expanded graphite, and carbon fiber as reinforcement and phenolic resin as polymer. The manufacturing method is hot compaction. These composites plus several other composites derived from the literature are used to validate the model. The curve fitting is performed by MATLAB software. The composites are divided into two main categories: the first, nanofiller composites including graphene, carbon nanotube, expanded graphite, and carbon black; the second, microfiller composites including graphite and carbon fiber. In the paper, the effective factors on composite conductivity including the mixing methods, filler conductivity, filler aspect ratio, filler alignment, surface energy between filler and matrix, and matrix conductivity are comprehensively discussed. In addition, the filler volume fractions ascribed to percolation threshold in all samples is calculated and is compared together. The results show there is good agreement between the model and experimental data on both nanofiller and microfiber composites. In addition, it was specified that the aspect ratio and nanosizing of fillers are the most important factors effective on percolation threshold and jumping rate of sigmoidal curve.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element POLYMER-MATRIX COMPOSITES
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element NANO COMPOSITES
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ELECTRICAL CONDUCTIVITY
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element SIGMOIDAL
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element ANALYTICAL MODEL
700 12 - ADDED ENTRY--PERSONAL NAME
Personal name Taherian, R.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://drive.google.com/open?id=1waP7meia-az9-ckbgaflXiRNCaEXWUe8&usp=drive_copy">https://drive.google.com/open?id=1waP7meia-az9-ckbgaflXiRNCaEXWUe8&usp=drive_copy</a>
Public note Para ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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  Clasificación local     Ref1 CICY CICY Documento préstamo interbibliotecario 25.06.2025   B-21063 25.06.2025 25.06.2025 Documentos solicitados