A probabilistic model for estimation of ionically permeable inhomogeneities in polymer coatings

Sina S Jamali; Payam Mokhtarian; Douglas J Mills

doi:10.1016/j.porgcoat.2015.05.002

A probabilistic model for estimation of ionically permeable inhomogeneities in polymer coatings

Sina S Jamali, Payam Mokhtarian, Douglas J Mills

Research output: Contribution to Journal › Article › peer-review

Abstract

The mechanism of ionic conduction through polymer coatings has been investigated. The presence of highly permeable areas in the coating (designated as D type areas), impose an electrochemical inhomogeneity which is identified by change in the ionic resistance as measured by DC method. The effect of coating thickness was studied on D type behaviour of coatings. A structural model is proposed to explain the changes in conduction mechanism by variation of coating thickness. Statistical models based on numerical (simulation-based) and analytical (probabilistic model) analysis of D type areas distribution have been advanced to estimate the number of D areas in any given coating based on the percentage of D type. Using these models the number of permeable (D type) areas can be estimated based on the D type percentage of the coating.

Original language	English
Journal	Progress in Organic Coatings
Volume	87
DOIs	https://doi.org/10.1016/j.porgcoat.2015.05.002
Publication status	Published - 23 May 2015

Keywords

Ionic conduction
electrochemical inhomogeneity
distribution model
estimation
D type behaviour

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10.1016/j.porgcoat.2015.05.002

Jamali20159264Accepted author manuscript, 0 bytesLicence: CC BY-NC-ND

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title = "A probabilistic model for estimation of ionically permeable inhomogeneities in polymer coatings",

abstract = "The mechanism of ionic conduction through polymer coatings has been investigated. The presence of highly permeable areas in the coating (designated as D type areas), impose an electrochemical inhomogeneity which is identified by change in the ionic resistance as measured by DC method. The effect of coating thickness was studied on D type behaviour of coatings. A structural model is proposed to explain the changes in conduction mechanism by variation of coating thickness. Statistical models based on numerical (simulation-based) and analytical (probabilistic model) analysis of D type areas distribution have been advanced to estimate the number of D areas in any given coating based on the percentage of D type. Using these models the number of permeable (D type) areas can be estimated based on the D type percentage of the coating.",

keywords = "Ionic conduction, electrochemical inhomogeneity, distribution model, estimation, D type behaviour",

author = "Jamali, {Sina S} and Payam Mokhtarian and Mills, {Douglas J}",

year = "2015",

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language = "English",

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journal = "Progress in Organic Coatings",

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TY - JOUR

T1 - A probabilistic model for estimation of ionically permeable inhomogeneities in polymer coatings

AU - Jamali, Sina S

AU - Mokhtarian, Payam

AU - Mills, Douglas J

PY - 2015/5/23

Y1 - 2015/5/23

N2 - The mechanism of ionic conduction through polymer coatings has been investigated. The presence of highly permeable areas in the coating (designated as D type areas), impose an electrochemical inhomogeneity which is identified by change in the ionic resistance as measured by DC method. The effect of coating thickness was studied on D type behaviour of coatings. A structural model is proposed to explain the changes in conduction mechanism by variation of coating thickness. Statistical models based on numerical (simulation-based) and analytical (probabilistic model) analysis of D type areas distribution have been advanced to estimate the number of D areas in any given coating based on the percentage of D type. Using these models the number of permeable (D type) areas can be estimated based on the D type percentage of the coating.

AB - The mechanism of ionic conduction through polymer coatings has been investigated. The presence of highly permeable areas in the coating (designated as D type areas), impose an electrochemical inhomogeneity which is identified by change in the ionic resistance as measured by DC method. The effect of coating thickness was studied on D type behaviour of coatings. A structural model is proposed to explain the changes in conduction mechanism by variation of coating thickness. Statistical models based on numerical (simulation-based) and analytical (probabilistic model) analysis of D type areas distribution have been advanced to estimate the number of D areas in any given coating based on the percentage of D type. Using these models the number of permeable (D type) areas can be estimated based on the D type percentage of the coating.

KW - Ionic conduction

KW - electrochemical inhomogeneity

KW - distribution model

KW - estimation

KW - D type behaviour

U2 - 10.1016/j.porgcoat.2015.05.002

DO - 10.1016/j.porgcoat.2015.05.002

M3 - Article

SN - 0300-9440

VL - 87

JO - Progress in Organic Coatings

JF - Progress in Organic Coatings

ER -

A probabilistic model for estimation of ionically permeable inhomogeneities in polymer coatings

Abstract

Keywords

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