Abstract
Seven wood sorption models available in the literature were parameterized for prediction of equilibrium moisture content for temperatures up to 220oC. The criterion used to evaluate the models is the uncorrected sum of squares of differences between the predicted equilibrium moisture content and experimental values published in literature for temperatures between 0oC and 160oC. The results show that the Malmquist model gave the best overall fit to experimental data for the relative humidities considered (40%, 52%, 65%, 75% and 85%). However, the Garcia model performs better for temperatures between 110oC and 155oC at a relative humidity of 85%. Therefore, the choice of the sorption model depends on the specific hygrothermal conditions required by the user.
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