Numerical study on the impact of particles filling pattern and screw parameters on the mixing uniformity of wheat grains in a screw mixer

Authors

  • Seifeddine Garneoui Hungarian University of Agriculture and Life Sciences
  • István Keppler Hungarian University of Agriculture and Life Sciences
  • Péter Korzenszky Hungarian University of Agriculture and Life Sciences
  • Muath Sultan Talafha Hungarian University of Agriculture and Life Sciences

DOI:

https://doi.org/10.24132/acm.2021.689

Keywords:

discrete element method, granular material, homogeneity index, screw mixer

Abstract

The presence of moisture content in a silo makes the preservation of a grain stock challenging especially when dealing with a large stock. This made it as a major concern for engineers to preserve large crops of grains and avoid huge losses. By installing a screw inside of a silo, the moisture problem could be avoided by stirring the loaded granular bed alongside aeration, also it could be effective to mix different types of loaded materials. The present work has sought to develop predictive models of discrete element method for mixing uniformity assessment when mixing wheat granules in a hopper-bottom screw mixer. The different factors being investigated are: initial configuration of particles, screw rotational direction, screw pitch length, screw diameter and screw rotational velocity. Findings regarding bed homogeneity were calculated using the nearest neighbor’s method. The best mixture was obtained when considering a side-wise filling type of particles ahead mixing and using a 20 mm screw diameter, 30 mm screw pitch and rotating the screw at 80 rpm speed.

Author Biography

  • Seifeddine Garneoui, Hungarian University of Agriculture and Life Sciences

    PhD candidate,

    Department of Mechanical Engineering

Downloads

Published

31-Dec-2021

Issue

Section

Articles

How to Cite

“Numerical study on the impact of particles filling pattern and screw parameters on the mixing uniformity of wheat grains in a screw mixer” (2021) Applied and Computational Mechanics, 15(2). doi:10.24132/acm.2021.689.