Dynamic equilibrium moisture content for grain drying

摘要

Equilibrium moisture content (EMC) of grains is needed for analysis of thin layer drying data. Two methods to assess equilibrium moisture content values, one based on sorption data (static EMC, Mes) and the other based on non-linear regression of thin layer drying data (dynamic EMC, Med), were investigated for application to the drying of maize and rough rice. The Med values were different from Mes values in the high and low RH ranges. The fitting of thin layer drying equations for maize kernels and rough rice was improved by adopting the Med parameter. Validation of the Med concept on other grains needs to be conducted and relationships among Med and other factors need to be established.