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Estimation of ion transport parameters in PVFM-based solid polymer electrolyte using Trukhan model.
- Source :
- Ionics; Jun2024, Vol. 30 Issue 6, p3231-3239, 9p
- Publication Year :
- 2024
-
Abstract
- Biosynthetic route for the synthesis of nanoparticles involving fossil extract is a modest eco-friendly process; the study focused on a relatively new class of functional materials known as polymerised ionic liquids. The synthesised nanoparticles were then characterised through FTIR and X-ray diffraction spectroscopy. Nanoparticles incorporated in polymers provide an exciting base for newer technology for the development of cost-effective electrochemical devices. Polyvinyl formal (PVFM) is one of the eco-friendly semi-crystalline polymers which has inter- and intra-molecular hydrogen bonds, whose degree is greatly dependent on the texture of the polymer. We have fabricated a naturally plasticized nanopolymer electrolyte membrane with high ionic conductivity using nano MMT incorporated in PVFM. Randomly interwoven nano-fibrous structures are generally preferred for electrolyte systems due to their continuous structure. The use of nano-composites provided a better polymer interface as well as the high free volume size, through which molecule transport occurs in nano-composite membrane matrix. The advantage of a surface comprised of ultra-fine, continuous nano fibres is that it naturally becomes highly porous. Nano-composite membrane due to its high porosity becomes a major responsive factor to enhance the ionic conductivity. We have considered a comparative study of these fabricated nano-composites. The structural behaviour of the polymer nano-composite membrane is investigated by XRD and FTIR. XRD curve revealed the amorphous nature of the membrane. It is favourable for better conduction and sensing behaviour, as the conductivity–frequency plots showed the Universal power law. The asymmetric shape of the Dielectric relaxation plots gave a strong evidence of low-frequency dispersion and deviation from the pure Debye behaviour. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09477047
- Volume :
- 30
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Ionics
- Publication Type :
- Academic Journal
- Accession number :
- 178276149
- Full Text :
- https://doi.org/10.1007/s11581-024-05495-4