Paper
25 April 2022 Numerical simulation on mixing process of reconstituted tobacco by discrete element algorithm
Qianjin Chen, Shuiming Wang, Pengfei Li, Xinguang Li, Jianhua Liu, Dewu Hu, Zhigang Zhao, Xiaoshuang Xiong
Author Affiliations +
Proceedings Volume 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022); 122444I (2022) https://doi.org/10.1117/12.2634938
Event: 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 2022, Guilin, China
Abstract
The addition of mixing technology can effectively improve the phenomenon of agglomeration in the local area of finished tobacco billet due to the uneven distribution of reconstituted tobacco during the packing process. In this paper, a numerical simulation model of reconstituted tobacco mixing process was established by using the discrete element method (DEM) to study the effects of horizontal and vertical velocity of the mixing bar on the distribution of reconstituted tobacco in the box. The results show that the distribution uniformity of reconstituted tobacco in the bottom of the mixing box increase with the increasing of horizontal reciprocating velocity. When the vertical mixing velocity matches with the accumulation speed of reconstituted tobacco, the mixing effect is better. Under the simulation conditions, the uniformity of reconstituted tobacco distribution at the bottom of the box achieve the optimal, when the value of horizontal reciprocating velocity and vertical velocity of the mixing bar is 1.1m/s and 0.8mm/s, respectively.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qianjin Chen, Shuiming Wang, Pengfei Li, Xinguang Li, Jianhua Liu, Dewu Hu, Zhigang Zhao, and Xiaoshuang Xiong "Numerical simulation on mixing process of reconstituted tobacco by discrete element algorithm", Proc. SPIE 12244, 2nd International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2022), 122444I (25 April 2022); https://doi.org/10.1117/12.2634938
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KEYWORDS
Particles

Numerical simulations

Lithium

Algorithm development

Motion models

Spherical lenses

Metals

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