Application of a numerical model for prediction of moisture migration in stored grain
Trans. of the ASAE Vol. 38(6): 1789-1804, 1995
Authors:
Kishor Khankari, R.V. Morey and S. V. Patankar
Abstract:
Variations in ambient temperatures cause safe moisture contents of stored grain to become unsafe due to migration or redistribution of moisture within storage. This study uses a previously developed generalized numerical model of the moisture migration process, which can be used to predict the temperature, moisture, and natural convection air-flow distribution in stored grain. For the weather conditions of St. Paul, Minnesota, this numerical model is used to evaluate the effect of various bin geometries and grain parameters on the moisture migration behavior of stored corn and wheat. These predictions indicate that cooling of grain to 0° C during the fall season can keep grain moistures under stable conditions for the entire year. It also shows that moisture migration occurs in all sizes of bins and it starts developing earlier in the smaller bins.
Fill the following form to download
About the author
Dr. Kishor Khankari
ASHRAE Fellow, ASHRAE Distinguished Lecturer
Dr Kishor Khankari is the founder of AnSight LLC. As a specialist in Computational Fluid Dynamics (CFD), his passion for solving engineering problems and providing sound scientific solutions has led to innovations and optimized designs in the industry.
A noted expert in his field, he has a Ph.D. from the University of Minnesota and has published in several technical journals and trade magazines. As a well sought-after speaker Dr. Khankari makes regular presentations in various technical conferences and professional meetings worldwide.
