Skip to main content

Analytical model of electric field assisted ion diffusion into glass containing two indigenous mobile species, with application to poling

Oven, R (2020) Analytical model of electric field assisted ion diffusion into glass containing two indigenous mobile species, with application to poling. Journal of Non-Crystalline Solids, 553 . Article Number 120476. ISSN 0022-3093. (doi:10.1016/j.jnoncrysol.2020.120476) (KAR id:86623)

PDF Author's Accepted Manuscript
Language: English


Download (918kB) Preview
[thumbnail of Modelling poling of glass-with additions.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL:
https://doi.org/10.1016/j.jnoncrysol.2020.120476

Abstract

An analytical model of electric field assisted diffusion of ions into glass is extended to include two indigenous mobile ion species that are initially uniformly distributed within the glass. A quasi-stationary state solution that includes diffusion effects and is applicable when the invasive ions have a lower mobility than the two indigenous species is presented. It is relevant to the electrical poling of soda-lime and borosilicate glasses with concentrations of mobile ions (Na+, K+) that are processed with a non-blocking anode where hydrogen ion injection occurs.

The model is compared with numerical solutions based on the drift-diffusion equations and Poisson’s equation and shows good agreement. The increase in the concentration of the indigenous species with the lower mobility (K+) below the poled layer within a pile-up region is accurately modelled.

Item Type: Article
DOI/Identification number: 10.1016/j.jnoncrysol.2020.120476
Uncontrolled keywords: Field assisted diffusion , Poling
Subjects: Q Science > QC Physics > QC173.45 Condensed Matter
Q Science > QA Mathematics (inc Computing science) > QA377 Partial differential equations
T Technology > TA Engineering (General). Civil engineering (General) > TA1520 Applied optics. Photonics
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Robert Oven
Date Deposited: 09 Mar 2021 16:05 UTC
Last Modified: 04 Oct 2022 23:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/86623 (The current URI for this page, for reference purposes)
Oven, R: https://orcid.org/0000-0002-8517-3634
  • Depositors only (login required):

Downloads

Downloads per month over past year