Progress in Organic Coatings 97 (2016) 301–306
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Progress in Organic Coatings
j o ur na l ho me pa ge: www.elsevier.com/locate/porgcoat
On the diffusion phenomenon of solvent within polymeric coatings:
Development of a new model
Sajjad Ghojavand, Reza Arefinia
∗
, Hamidreza Sahrayi
Chemical Engineering Department, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
a r t i c l e i n f o
Article history:
Received 2 August 2015
Received in revised form 16 February 2016
Accepted 15 April 2016
Keywords:
Diffusion
Polymeric coating
Modeling
Diffusion coefficient
a b s t r a c t
Diffusion phenomenon of solvent molecules within the polymeric coatings has a great influence on their
properties. To study this phenomenon, a new semi-empirical model was developed using the combination
of a theoretical model proposed based on the Fick’s second law of diffusion with the empirical technique
of coating capacitance measurement. The proposed model has both a simple form and high ability to
deal with the diffusion behavior over the whole of immersion time. Additionally, the parameters of the
diffusion coefficient and the type (Fickian or non-Fickian) were precisely calculated by fitting of the
proposed model to the literature experimental data. According to this modeling approach, the diffusion
coefficient has no constant value and reduces over the immersion time.
© 2016 Elsevier B.V. All rights reserved.
1. Introduction
Once a polymeric coating is exposed by a solution environment,
the solvent molecules penetrate within the coating structure. This
phenomenon can affect on the physical properties of coating such
as electrical [1,2] and its anticorrosion behavior [2]. So far, investi-
gating the water uptake of polymeric coatings has been attracted
a great deal of interest in many studies [1,3–6] in them, the water
uptake of coatings has been commonly determined by measure-
ment of the electrical properties such as the dielectric constant.
In this regard, the earliest work was made by Hartshorn [7] who
proposed a mixing rule equation relating the water content to the
dielectric constant of a coating as the following:
ε
t
= ε
Vc
c
ε
Va
a
ε
Vw
w
(1)
in this equation, the parameters of ε and V are the dielectric con-
stant and volume fraction, respectively and subtitles denote as c:
dry coating, a: air, w: water as a representative of solution compo-
nents and t: instant of immersion time.
Frequently, researchers have utilized the parameter of coating
capacitance instead of the dielectric constant in Eq. (1) due to read-
ily measurement of the capacitance property during immersion
∗
Corresponding author.
E-mail address: arefinia@um.ac.ir (R. Arefinia).
time. However, these two parameters are related to each other by
the following well-known equation: [2,8]
C
t
=
ε
t
ε
0
A
s
L
(2)
where C
t
is the coating capacitance at an instant of immersion time,
ε
0
the dielectric constant of vacuum (8.854 × 10
−12
Fm
−2
), A
s
the
coating surface area and L the thickness of coating. In this con-
text, an applied coating is simulated as an electrical element of
capacitance [9]. Furthermore, it has been generally accepted that
the change of coating capacitance value during the immersion time
is arisen from the variation of the dielectric constant under pene-
tration of solution molecules within a coating [1].
Based on this approach, several correlations have been proposed
for relating the solution content of coating to its capacitance. Early,
Brasher and Kingsbury (in 1954) [6], suggested the following cor-
relation to estimate the water content of coating:
V
w
=
log
(
C
t
/C
0
)
log ε
w
(3)
where C
0
is the coating capacitance at the initial time of immersion.
Later, Castela et al. [1] introduced a relation for a binary system
consists of coating and water as:
V
w
=
C
t
− C
0
C
w
− C
0
(4)
However the estimation of water content is convenient by using
the capacitance technique, it is actually time consuming for all
over the immersion time. Moreover, it provides no information
about the diffusion parameters. Therefore, some of researchers
http://dx.doi.org/10.1016/j.porgcoat.2016.04.011
0300-9440/© 2016 Elsevier B.V. All rights reserved.