Modeling the destruction of the grain shell of cereal crops

¹ Kazan State Agrarian University, 65, K. Marx Str., Kazan, 420015, Republic of Tatarstan, Russian Federation
² Kazan State University of Architecture and Engineering, 1, Zelenaya St., Kazan, 420043, Republic of Tatarstan, Russian Federation

^* Corresponding author: nureg@mail.ru

Abstract

When processing grain cereals, hulling is an important part being the process of destruction of shell and separation of the fruit, from which cereals are prepared, which are a valuable food for people. As a result of theoretical research, a physicomathematical model of grain of cereal crops has been developed as a hulling object consisting of two separate structural elements (spherical shell and spherical kernel), each of which has its own geometric parameters and rheological properties. Mathematical dependences of the destructive stresses of the shell and kernel during static and dynamic interactions with working surfaces on their strength characteristics and geometric parameters are established. The obtained theoretical dependencies, together, represent a mathematical model describing the process of destruction of the grain shell of cereal crops under static and dynamic influences. It can be used to simulate sunflower seed shell hulling in vegetable oil production. The developed model provides quick and qualitative computational experiments with the use of computers and software, with the required set of given values of physical-mechanical and technological properties of the processed grain and structural and technological parameters of machines for destruction and separation of the shell. When using the appropriate software, it is possible to visualize the process of shell destruction with a full frame-by-frame picture of the distribution, magnitude, direction of loads and arising stresses. When using the appropriate software, it is possible to visualize the process of shell destruction with a full frame-by-frame picture of the distribution, magnitude, direction of loads and arising stresses. The possibility of solving this model using computer technology and modern software allows you to significantly reduce the labor intensity of natural experiments, while excluding random and systematic errors associated with the experimental equipment and the researcher.