Augusto Souza
Agricultural and Biosystems Engineering, Iowa State University, USA
Brian Steward
Agricultural and Biosystems Engineering, Iowa State University, USA
Carl Bern
Agricultural and Biosystems Engineering, Iowa State University, USA
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http://dx.doi.org/10.3384/ecp18154227Published in: Proceedings of The American Modelica Conference 2018, October 9-10, Somberg Conference Center, Cambridge MA, USA
Linköping Electronic Conference Proceedings 154:24, p. 227-235
Published: 2019-02-26
ISBN: 978-91-7685-148-7
ISSN: 1650-3686 (print), 1650-3740 (online)
Grain drying is highly influenced by environmental and technical factors.
Thus, it is essential to track the psychrometric properties of the drying air, besides other grain
characteristics, for successful control of this operation. Mathematical modeling of a
drying process can be complicated and non-trivial when considering all the involved
factors. Based on theoretical differential equations, this study calculates different aspects of grains during their
drying process. Modelica and Dymola were used to model blocks of thin-layers of corn, barley, and soybean. The
modeled blocks could be used to reproduce a simulation of a grain drying process and keep track of the products
moisture content and temperature, besides other psychrometric properties of the air. The developed model has the
potential to be used to either to compare to a real grain drying process or as a teaching instrument for grain handling.
