EDEM Research Spotlight- Discrete Element Method Model of the Wheat Flour Sifting Process

Rahul_P1
Rahul_P1
Altair Employee
edited October 2023 in Academic
RESEARCHER
Kaliramesh Siliveru
INSTITUTE
Kansas State University, United States
DEPARTMENT
Grain Science and Industry
SUPERVISOR
Dr. Kingsly Ambrose
TIMELINE
15/03/15 - 12/12/16

The objective of this research is to develop a DEM model of the wheat flour sifting process to predict the particle size distribution based on the physical and surface characteristics of the incoming wheat flour particles, to help in the optimization of the current  sifting process during wheat milling. In the present study, EDEM software is used to simulate the sieving process, by simulating the sifter geometry, sifter movement and the inter-particle cohesion during the size separation process. The findings from the current model would eventually be instrumental in optimizing the sifting time and increasing the sifter efficiency during the wheat milling process.

Fig. 1. Snapshot of oversize particles
 

Fig. 2. Illustration of particle attachment  

DEM has allowed us to understand the particle movement inside the sifter and on the screen surface, which has enabled us to understand the concept of sieve blinding and percolation phenomenon. I would like to take this as an opportunity to thank the EDEM support team for their immense help extended to me.
Kaliramesh Siliveru
Kansas State University, United States
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