Modelling and simulation analysis for the prediction of the performance of intrinsic conducting polymer current limiting device

Jabarullah, Noor H; Mauldin, Clayton; Navarro, Luis A.; Golden, Josh; Madianos, Leonidas; Kemp, Neil T.

Abstract

© 2017 American Scientific Publishers All rights reserved. Previous studies have shown that the current limiting concept and interruption of short-circuit currents in low power applications have been introduced, particularly in polymer switch based on the positive temperature coefficient of resistance (PCTR) concept. However there are many restrictions in the active material, which consists of conductive fillers. This research presents a considerably improved and simplified approach that replaces the existing current limiters with faster switching elements. Its elegance lies in the remarkable simplicity and low-cost processes of producing the device using polyaniline (PANI) doped with methane-sulfonic acid (MSA). The experimental results have been modelled and simulated for moisture contents where its proved to be very significant in increasing the resistance thus implying good current-limiting properties. Sample characterization experiments have been performed and proven to be significantly enhanced in device response compared to conventional carbon block copolymer device. Additionally I–V (current voltage) characterisation in moisture presence environment is shown to increase the resistivity and also improved its current limiting performance.

Citation

Jabarullah, N. H., Mauldin, C., Navarro, L. A., Golden, J., Madianos, L., & Kemp, N. T. (2017). Modelling and simulation analysis for the prediction of the performance of intrinsic conducting polymer current limiting device. Advanced science letters, 23(6), 5117-5120. https://doi.org/10.1166/asl.2017.7322

• Journal Article Type: Article
• Acceptance Date: Jun 1, 2017
• Publication Date: Jun 1, 2017
• Deposit Date: Mar 28, 2018
• Journal: Advanced Science Letters
• Print ISSN: 1936-6612
• Publisher: American Scientific Publishers
• Peer Reviewed: Peer Reviewed
• Volume: 23
• Issue: 6
• Pages: 5117-5120
• DOI: https://doi.org/10.1166/asl.2017.7322
• Keywords: General Energy; General Engineering; General Computer Science; Education; General Mathematics; Health(social science); General Environmental Science
• Public URL: https://hull-repository.worktribe.com/output/758804