SIMULATION MODELLING OF BULK MATERIAL MOVEMENT IN ROTATING DRUM MACHINES

Authors

DOI:

https://doi.org/10.37406/2706-9052-2024-2.26

Keywords:

drum mixer, design, efficiency, particle, DEM modelling

Abstract

The discrete element method (DEM), which was developed in the early 70s to simultaneously track all individual interacting particles, is widely used to evaluate and improve equipment performance in a virtual environment to avoid costly prototyping. To model a number of processes in processing industries, it is important to study the behaviour of bulk material in a rotating drum. The number of studies on this topic has increased significantly in recent years. It is worth noting the works related to the parametric analysis of the behaviour of particles during drum rotation. Among them are works on calculating the thickness of the falling layer, calculating the average residence time of the pellets, and studying the upper and lower slope angles. The research is devoted to finding ways to improve the efficiency of a drum mixer. Mixing of bulk components is an important and integral stage in almost every industrial production and a priority area of technical progress in industry, improvement of technological processes, replacement of obsolete and physically outdated equipment. To analyse the effectiveness of existing designs of a drum mixer, the paper presents the results of studying the flows of material particles in the working area of the device, which were investigated by modelling the process in the CAE complex. The paper uses the algorithm for calculating the particle flow in the EDEM software package, and develops a computational and analytical analysis of the efficiency of mixing bulk components. To improve the efficiency of a drum mixer, it is important to study the behaviour of the bulk product in the chamber for its further design to increase it to at least 90%. The developed approach can serve as an example for future simulation studies of fine particles in various processes related to the food, chemical and pharmaceutical industries.

References

Assessment of bi-disperse solid particles mixing in a horizontal paddle mixer through experiments and DEM / M. Ebrahimi, A. Yaraghi, B. Jadidi, F. Ein-Mozaffari, A. Lohi. Powder Technology. 2021. Vol. 381. Р. 129–140.

Effects of ball-to-powder diameter ratio and powder particle shape on EDEM simulation in a planetary ball mill / K.-C. Kim, T. Jiang, N.-L. Kim, C. Kwon. Journal of the Indian Chemical Society. 2022. Vol. 99, Issue 1, Article ID: 100300.

Effect of aspect ratio of ellipsoidal particles on segregation of a binary mixture in a rotating drum / S. Kumar, S. Khatoon, S. Parashar, P. Dubey, J. Yogi A. Anand. Powder Technology. 2023. Vol. 427. Article ID: 118682.

Li M. DEM Simulation on Mixing Characteristics and Macroscopic/Microscopic Flow Behaviors of Different-Shaped Sphero-Cylinders in a Rotating Drum, Industrial & Engineering Chemistry Research. 2021. Vol. 60. Р. 8874–8887.

Mhadhbi M. Calibration of DEM Parameters to Simulate a Planetary Ball Mill. Advances in Materials Physics and Chemistry. 2022. Vol. 12. Р. 155–162.

Sensitivity analysis of particle contact parameters for DEM simulation in a rotating drum using response surface methodology / W. Rong, Y. Feng, P. Schwarz, T. Yurata, P. Witt, B. Li, T. Song, J. Zhou. Powder Technology. 2020. Vol. 362. Р. 604–614.

A study of the design and arrangement of flights in a rotary drum / J.C. Silveira, R.M. Lima, R.J. Brandao, C.R. Duarte, M.A. Barrozo. Powder Technology. 2022. Vol. 395. Р. 195–206.

Efficient DEM modeling of solid flavor particle mixing in a rotary drum / R. Sleeuwen, S. Pantaleev, M. Ebrahimi, L. Feng. Powder Technology. 2024. Vol. 437. Article ID: 119559.

Influence of particle size and blender size on blending performance of bi-component granular mixing: a DEM and experimental study / S. Tanabe, S.R. Gopireddy, H. Minami, S. Ando, N.A. Urbanetz, R. Scherließ. European Journal of Pharmaceutical Sciences. 2019. Vol. 134. Р. 205–218.

Parametric optimization and experimental verification of multi-fertilizer mixing by air blowing and blade stirring based on discrete element simulations / X. Xi, R. Wang, X. Wang, Y. Shi. Computers and Electronics in Agriculture. 2023. Vol. 210. Article ID: 107895.

Modelling of Grain Breakage of in a Vertical Rice Mill Based on DEM Simulation Combining Particle Replacement Model / Y. Zeng, B. Mao, F. Jia, Y. Han, G. Li. Biosystems Engineering. 2022. Vol. 215. Р. 32–48.

Published

2024-07-10