(734) 327 4079 info@ansight.com
AnSight’s Solutions for COVID-19

Mathematical model for moisture diffusion in stored grain due to temperature gradients

Trans. of the ASAE Vol. 37(5):1591-1604, 1994

Authors:

Kishor Khankari, R.V. Morey and S. V. Patankar

Abstract:

Seasonal variations in ambient temperatures can cause safe moisture contents of stored grain to become unsafe due to migration or redistribution of moisture within the storage. Such migration of moisture generally occurs due to thermal gradients in the stored grain and depends on various factors related to the grain quality, bin size, and local climatic conditions. In this article, a mathematical model for the simultaneous heat and moisture transfer is developed by incorporating a sorption isotherm relationship to predict moisture migration in stored grain due to diffusion. The coupled, nonlinear transport equations are solved numerically by using a control-volume scheme. The predicted results show good agreement with the available experimental data in the literature. This model is also applied to predict moisture migration under conditions approximating winter and summer storage periods. The predictions of moisture and temperature distribution are consistent with field observations.

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.

    Recent Posts

    Ventilation Guidance for Residential Kitchen with Gas Stove

    Recently the residential gas stoves were in the News due to the generation of pollutants during their operation. Cooking activities as well as the combustion of natural gas through gas stove burners produce several indoor pollutants. Exhausting these pollutants from...

    CFD Analysis of Residential Kitchen Ventilation with Gas Stove

    Proper ventilation of the kitchen is essential to reduce the occupant exposure to various pollutants generated during the cooking and the combustion of natural gas through the gas stove burners. Several parameters related to the design and operation can affect the...

    CFD Analysis of Demand Control Ventilation for Laboratories

    What is Demand Control Ventilation (DCV)? Often high air change rates per hour (ACH) are specified for laboratories to meet the goal of ventilation. The ACH numbers specified are mostly consensuses based on simplistic approaches of perfect mixing of contaminants with...