Synthesis and ionic conductivity measurement of a new potassium ion conducting solid polymer electrolytes

Chandra, Angesh; Basak, Subhashis; Khan, Mohammad Ziyauddin; Chandra, Abhilash; Dhundhel, R. S.; Bhatt, Alok

doi:10.1088/1757-899x/798/1/012007

Cited by 8 publications

(1 citation statement)

References 12 publications

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“…It has extensive applications in the fabrication of electronic components, since it has high charge storage capacity and good chemical stability. 9 Chandra et al 10 reported a maximum ionic conductivity of 5.6 Â 10 À7 Scm À1 at room temperature for PEO/KCl system. Ravi et al 11 prepared PVP/KClO 4 system and achieved a maximum ionic conductivity of 9.1 Â 10 À6 Scm À1 at room temperature.…”

Section: Introductionmentioning

confidence: 98%

Preparation and characterization of novel potassium ion conducting nanocomposite polymer electrolytes based on PEMA

Jayanthi¹,

Kokila²,

Shenbagavalli

et al. 2021

Journal of Elastomers & Plastics

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Potassium ion conducting nanocomposite polymer electrolytes was prepared by employing the solvent casting technique. Poly ethyl methacrylate (PEMA), potassium thiocyanate (KSCN) and nano-strontium titanate (SrTiO3) (<100 nm) was used as a polymer host, an electrolyte and a filler, respectively. The complex formation between PEMA, KSCN and SrTiO3 was confirmed through Fourier transform infrared (FTIR) and X-ray diffraction (XRD) analysis, respectively. This system exhibited two ionic conductivity maxima, but the sample, PEMA/KSCN/4 wt% SrTiO3 delivered a maximum ionic conductivity of 3.07 × 10−5 Scm−1 at room temperature, which was 102 times greater than that of PEMA/KSCN system. Truckhan model was employed to determine the diffusion coefficient, mobility and mobile ion concentration of the system. The remarkable change in surface morphology of the sample was observed through Scanning Electron Microscopy (SEM) micrograph.

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Section: Introductionmentioning

confidence: 98%

Preparation and characterization of novel potassium ion conducting nanocomposite polymer electrolytes based on PEMA

Jayanthi¹,

Kokila²,

Shenbagavalli

et al. 2021

Journal of Elastomers & Plastics

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Electrical and Structural Properties of PEMA‐Based Plasticized Polymer Electrolyte

Singh

Sachdeva

Bhargava

et al. 2023

Macromolecular Symposia

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To resolve the challenges that portable devices confront, polymer electrolytes should be developed. Polymer electrolytes have a number of advantages, including nonflammability, low cost, high stability, no leakage, and a long lifespan. In the present research work, PEMA host polymer with potassium iodide salt enclosure is used with ethylene carbonate (EC) plasticizer to enhance mechanical strength and ionic conductivity. The PEMA+40% wt Kl sample conductivity is measured by complex impedance spectroscopy technique and the maximum conductivity obtained is 3.80×10 −6 S cm -1 at room temperature. When EC is added into the solution, there is an increase in conductivity, and the maximum conductivity measured is 4.65×10 −5 S cm -1 with sample PEMA+40% wt KI+ %60 wt EC. The prepared electrolyte structural changes and complex formation are subjected to FTIR and XRD characterization techniques. The pore nature of the synthesized polymer electrolyte is investigated using surface electron microscopy.

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A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm

Adam

Soleimani

Shukur

et al. 2022

Journal of Non-Crystalline Solids

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Synthesis and ionic conductivity measurement of a new potassium ion conducting solid polymer electrolytes

Cited by 8 publications

References 12 publications

Preparation and characterization of novel potassium ion conducting nanocomposite polymer electrolytes based on PEMA

Preparation and characterization of novel potassium ion conducting nanocomposite polymer electrolytes based on PEMA

Electrical and Structural Properties of PEMA‐Based Plasticized Polymer Electrolyte

A new approach to understanding the interaction effect of salt and plasticizer on solid polymer electrolytes using statistical model and artificial intelligence algorithm

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