Summary
Four sorption isotherm models that express moisture content as a function of both relative humidity and temperature were evaluated by fitting them to a set of sorption data between 21.1 and 71.1°C, with the help of a nonlinear curvefitting program. All of them predicted the sigmoid shape of the sorption isotherms and the shift towards the x-axis as the temperature increased. The calculated root mean square error was used as an indication of the goodness of the fit.
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The author would like to thank Dr. John F. Siau, Professor Emeritus, State University of New York, College of Environmental Science and Forestry, for reviewing this manuscript
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Avramidis, S. Evaluation of “three-variable” models for the prediction of equilibrium moisture content in wood. Wood Sci. Technol. 23, 251–257 (1989). https://doi.org/10.1007/BF00367738
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DOI: https://doi.org/10.1007/BF00367738