Abstract
Equipment and techniques were developed to study cotton moisture absorption and desorption rates at temperatures ranging from 5 to 53 C. The equipment worked well and provided valuable insight into the moisture-time relationships for cotton lint. The moisture data was transformed and found to fit a theoretical, exponential decay function. Nonlinear regression analysis was used to fit the value of the coefficients in the theoretical equation to the experimental data. Results indicate that both temperature and air type (dry or humid) significantly affect the diffusivity (rate) and the shape parameters in the nonlinear equations. The rate of moisture transfer increased with decreasing humidity and with increasing temperature for the range of 5-41 C and then decreased for the high temperature (51-53 C) runs. The data taken at high temperatures (39-53 C) deviated from the theoretical decay function as it approached the asymptotic value.
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