Average thickness, specific gravity, initial moisture content, elapsed time in oven, and surface temperature data were obtained for short sections of ponderosa pine boards dried in a forced-air circulation oven. These data were subjected to a multiple regression analysis to determine their value as predictors of average wood moisture content. Results of the analysis showed that a model including surface temperature and elapsed drying time had an R2 value of 0.89. From this, it appears that surface temperature and time could be used effectively for monitoring the moisture content of wood during drying. Infrared sensing devices promise easy measurement of surface temperature in such processes.
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