Fabrication and percolation behaviour of novel porous conductive polyblends of polyaniline and poly(methyl methacrylate)

• Published in: Synthetic metals Vol. 160; no. 17; pp. 1832 - 1837
• Main Authors: Price, Aaron D., Kao, Vivian C., Zhang, Jennifer X., Naguib, Hani E.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.09.2010; Elsevier
• Subjects: Applied sciences; Blends; Cellular; Conductive polymers; Dispersions; Electrically conductive; Exact sciences and technology; Foaming; Foams; Forms of application and semi-finished materials; Morphology; Percolation; PMMA; Polyaniline; Polyanilines; Polymer industry, paints, wood; Polymeric foams; Polymethyl methacrylates; Technology of polymers; Conductive polymers; Polymeric foams; PMMA; Polyaniline; Dielectric dispersion; Cell structure; Polymer blends; Dielectric properties; Carbon dioxide; Methyl methacrylate polymer; Composition effect; Processing time; Experimental study; Cellular plastic; Sulfonic acid; Conducting polymers; Structure processing relationship; Foaming process; Morphology; Doped polymer; Manufacturing; Plastics; Aniline polymer
• ISSN: 0379-6779; 1879-3290
• DOI: 10.1016/j.synthmet.2010.06.021

The conductive polymer polyaniline is blended with conventional industrial thermoplastics in order to obtain an electrically conductive polymer blend with adequate mechanical properties. Processing these polyblends into foams yields a porous conductive material that exhibits immense application potential such as dynamic separation media and low-density electrostatic discharge protection. In the current study, the morphology of a thermally processable blend consisting of an electrically conductive polyaniline-dodecylbenzene sulfonic acid complex and poly(methyl methacrylate) is explored using a two-phase batch foaming setup. The effect of blend composition and processing parameters on the resulting porous morphology is investigated. The impact of the underlying microstructure and blend composition on the frequency dependent electrical conductivity is elucidated using multiple linear regression and a model is proposed. Finally, dielectric analysis is utilized to experimentally identify the critical dispersion frequency of an unfoamed blend composition near the percolation threshold.