SCALING UP THE DRYING PROCESS OF SUGAR CANE BAGASSE
In this work, it is developed a strategy for scaling the drying process based on the analysis of models, developed and validated with experimental information, for the drying of sugar cane bagasse at pilot plant level. The pilot plant level model includes partial differential equations for the balances of matter, energy and moment and empirical correlations for evaluating properties and transport variables. The scaling was done based on the drying process characteristic dimensionless groups. Design variables (dryer length and diameter) were expressed as a function of those groups and balance equations were simplified to ordinary differential equations because the variation of moisture and temperature inside the particles was less than 0.5 %. The industrial scale simulation model was validated with data reported in the literature and it was used for generating information about relationships among process variables. With the results of the simulations, two correlations were developed for calculating length and diameter of industrial dryers as function of operation variables and initial moisture content of particles. The maximum percentage error generated by the correlations was of 13.6% and 7.2 as average
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