DDGS Flowability with varying storage and process variables - Bhadra, Rumela
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An overall comprehensive modeling and simulation experimental design with conical hoppers were done. Results showed high correlation among measured dependent variables. A comprehensive regression model for mass flow rate as a function of Hausner ratio and Angle of Repose was developed, which provided predicted optimum ranges of Hausner ratio and Angle of Repose for good, fair, and poor flow. Based on this result, predicted optimum ranges of moisture content for good, fair, and poor flow was determined. Drying temperature, cooling type, and consolidation temperature were most significant…mehr

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Produktbeschreibung
An overall comprehensive modeling and simulation experimental design with conical hoppers were done. Results showed high correlation among measured dependent variables. A comprehensive regression model for mass flow rate as a function of Hausner ratio and Angle of Repose was developed, which provided predicted optimum ranges of Hausner ratio and Angle of Repose for good, fair, and poor flow. Based on this result, predicted optimum ranges of moisture content for good, fair, and poor flow was determined. Drying temperature, cooling type, and consolidation temperature were most significant variables in predicting mass flow rate from hopper. Johanson model (theoretical model) was calibrated and modified for predicting mass flow rate as a function of packed bulk density, for conical hoppers.
Autorenporträt
Rumela Bhadra was born in the eastern part of India, in a small town near Calcutta, were she majored in Bitechnology Later on, she pursed and completed her Ph.D. degree from United States where she worked in the areas of agricultural and bioprocess engineering. Now she works for a public university in U.S. in the area of food engineering.