Effect of Time Step in Accuracy of Particle Movement Prediction using Discrete Element Method (DEM)

Document Type : Research Article

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Abstract

Discrete Element Method (DEM) is extensively used to simulate the behavior of particles in various processing units. This method is based on modeling the forces acting between particles in any contact and consequently calculating the new position of particles. The high number of elements and numerous equations is very time-consuming even when using computers with very fast processors. The required computation time mainly depends on the time step. If the time step is chosen very short, the computation time will significantly increase. On the other hand, if the time step is chosen very long, the simulation will be Inaccurate due to not fully observing the contacts. In DEM calculations, the time step is chosen as a fraction of the collision time. In this research, a relationship was proposed between the contact time fraction and the error of simulation. In other words, to select the time step in addition to physical parameters, the accuracy of the simulation was also accommodated in the frequently-used relationships. The required time steps to achieve the simulation error of 5% were calculated for two common contact-force models namely, Hertz-Mindlin and linear spring-dashpot. The simulation was performed for two particles with radius of 3 cm, Elasticity modulus of 210 GPa, Poisson's ratio of 0.3 and relative velocity of 0.5 m/s. The required time steps were found to be 2.3 and 0.19 µs for the Hertz-Mindlin and linear spring-dashpot contact-force models, respectively. Results showed that with a scale-downing the modulus from 210 GPa to 2.1 MPa, the required time steps for the Hertz-Mindlin and linear spring-dashpot contact force models, with equal simulation error, increased by 100 and 316 times, respectively.

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References

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Journal of Analytical and Numerical Methods in Mining Engineering
Volume 3, Issue 6 - Serial Number 6
December 2013
Pages 23-32

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History

  • Receive Date: 10 April 2013
  • Revise Date: 11 January 2014
  • Accept Date: 12 December 2014

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