Automation experimental studies of grinding process in jaw crusher using DEM simulation

In this paper, an algorithm for automating experimental research using computer modeling is presented. The grinding process in the jaw crusher was chosen as the process for the study. Conducting experimental studies of crushing processes is a time-consuming process that takes considerable time. To o...

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Bibliographic Details
Published in:Journal of physics. Conference series 2018-12, Vol.1118 (1), p.12007
Main Author: Beloglazov, I
Format: Article
Language:English
Subjects:
Algorithms
Automation
Computer simulation
Crushing
Discrete element method
Grinding
Jaw crushers
Mathematical models
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Summary:In this paper, an algorithm for automating experimental research using computer modeling is presented. The grinding process in the jaw crusher was chosen as the process for the study. Conducting experimental studies of crushing processes is a time-consuming process that takes considerable time. To obtain and confirm the characteristics of equipment and particles involved in the grinding process, it is necessary to conduct auxiliary experiments, which also require a long time and special equipment. Therefore, to accelerate the process of experimental studies of work in particular new equipment, it is effective to use numerical simulation. The main goal of the project was to create a methodology for determining the conditions and results of the crushing process instead of numerous experiments, which in turn would greatly accelerate and facilitate the research process. In the presented work, a model of the crushing process in a jaw crusher using the Discrete Element Method (MDE) was realized. The use of modern software allowed studying in detail the impact of the cheeks of the crusher on the crushing material. In the article, the process of modeling is considered step by step, starting with the design of the crusher construction and ending with a comparative analysis of the results obtained with the experimental data. The obtained results were compared with computer simulation in accordance with the features of the operation of the presented installation, the nature of the destruction and the distribution of particles by size. The above analysis and comparison of results show the comparison of physical experiment and computer simulation.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1118/1/012007