%0 Journal Article
	%A M. A. Basunia
	%D 2012
	%J International Journal of Agricultural and Biosystems Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 72, 2012
	%T Predictability of the Two Commonly Used Models to Represent the Thin-layer Re-wetting Characteristics of Barley
	%U https://publications.waset.org/pdf/2163
	%V 72
	%X Thirty three re-wetting tests were conducted at
different combinations of temperatures (5.7- 46.30C) and relative
humidites (48.2-88.6%) with barley. Two most commonly used thinlayer
drying and rewetting models i.e. Page and Diffusion were
compared for their ability to the fit the experimental re-wetting data
based on the standard error of estimate (SEE) of the measured and
simulated moisture contents. The comparison shows both the Page
and Diffusion models fit the re-wetting experimental data of barley
well. The average SEE values for the Page and Diffusion models
were 0.176 % d.b. and 0.199 % d.b., respectively. The Page and
Diffusion models were found to be most suitable equations, to
describe the thin-layer re-wetting characteristics of barley over a
typically five day re-wetting. These two models can be used for the
simulation of deep-bed re-wetting of barley occurring during
ventilated storage and deep bed drying.
	%P 1148 - 1150