1 AIT Asian Institute of Technology

Thin layer drying and rewetting of paddy : a comparative evaluation for application in deep-bed drying simulation

AuthorPredicala, Bernardo Z.
Call NumberAIT Thesis no. AE-95-17
Subject(s)Grain--Drying

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering
PublisherAsian Institute of Technology
AbstractThin-layer drying and rewetting equations for paddy were developed from a series of tests with fixed inlet air conditions ranging from 30° to 50°C and 30% to 90% relative humidity (RH) for drying and 30° to 40°C and 70% to 90% RH for rewetting experiments. The developed thin-layer models were of the modified exponential form. Both drying and rewetting models estimated experimental data with relatively high accuracy when compared with the predictions made by several published thin-layer drying and rewetting equations. The accuracy of estimating the rewetting test data was improved when a correction was applied to adjust equilibrium moisture content (EMC) values predicted by known EMC isotherm model in the light of experimental EMC data. The experimental rewetting test data was also predicted with acceptable accuracy by selected thin-layer drying models. The results of eight multi-layer drying tests conducted using two levels of airflow, inlet air temperature and initial grain moisture content were simulated using different approaches available in the AIT Drying Simulation package. The simulation results indicated that the selection of both thin-layer drying and rewetting equations used in Thompson (1968) model directly affected the accuracy of the resulting predictions of moisture content in grain bed. The suitability of grain-to-air (G/ A) ratio as a criterion for determining the range of applicability of different simulation approaches was evaluated by considering different layer depths in simulation runs for the same set of data. It was established that simulation approaches based on equilibrium models [Thompson (1972) and Mixed model] performed better at high (G/A) ratios whereas the Thompson (1968) model predicted moisture contents in grain-bed with acceptable accuracy even at low (G/A) ratios.
Year1995
TypeThesis
SchoolSchool of Environment, Resources, and Development (SERD)
DepartmentDepartment of Food, Agriculture and Natural Resources (Former title: Department of Food Agriculture, and BioResources (DFAB))
Academic Program/FoSAgricultural and Food Engineering (AE)
Chairperson(s)Jindal, Vinod Kumar;
Examination Committee(s)Athapol Noomhorm;Vincent, Jean-Claude;
Scholarship Donor(s)Canadian International Development Agency;
DegreeThesis (M.Eng.) - Asian Institute of Technology, 1995


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