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Calibration and verification of DEM parameters of wet-sticky feed raw materials

In order to improve the accuracy of the parameters needed in the discrete element method (DEM) simulation process of wet-sticky feed raw materials, the JKR contact model in DEM was used to calibrate and verify the physical parameters of wet-sticky feed raw materials. Firstly, the parameters that hav...

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Autores principales: Peng, Fei, Zhang, Limei, Li, Zhiqiang, Chen, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247721/
https://www.ncbi.nlm.nih.gov/pubmed/37286929
http://dx.doi.org/10.1038/s41598-023-36482-w
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author Peng, Fei
Zhang, Limei
Li, Zhiqiang
Chen, Jianming
author_facet Peng, Fei
Zhang, Limei
Li, Zhiqiang
Chen, Jianming
author_sort Peng, Fei
collection PubMed
description In order to improve the accuracy of the parameters needed in the discrete element method (DEM) simulation process of wet-sticky feed raw materials, the JKR contact model in DEM was used to calibrate and verify the physical parameters of wet-sticky feed raw materials. Firstly, the parameters that have a significant effect on the angle of repose were screened using a Plackett–Burman design, and the screened parameters were: MM rolling friction coefficient, MM static friction coefficient, and JKR surface energy. Then, the three screened parameters were selected as the influencing factors and the accumulation angle of repose was selected as evaluating indicator; thus, the performance optimization experiments were carried out with the quadratic orthogonal rotation design. Taking the experimentally measured angle of repose value of 54.25°as the target value, the significance parameters were optimized, and the optimal combination was obtained : MM rolling friction factor was 0.21, MM static friction factor was 0.51, and JKR surface energy was 0.65. Finally, the angle of repose and SPP tests were compared under the calibrated parameters. The results showed that the relative error of experimental and simulated tests in angle of repose was 0.57%, and the compression displacement and compression ratio of the experimental and simulated tests in SPP were 1.01% and 0.95%, respectively, which improved the reliability of the simulated results. The research findings provide a reference basis for simulation study and optimal design of related equipment for feed raw materials.
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spelling pubmed-102477212023-06-09 Calibration and verification of DEM parameters of wet-sticky feed raw materials Peng, Fei Zhang, Limei Li, Zhiqiang Chen, Jianming Sci Rep Article In order to improve the accuracy of the parameters needed in the discrete element method (DEM) simulation process of wet-sticky feed raw materials, the JKR contact model in DEM was used to calibrate and verify the physical parameters of wet-sticky feed raw materials. Firstly, the parameters that have a significant effect on the angle of repose were screened using a Plackett–Burman design, and the screened parameters were: MM rolling friction coefficient, MM static friction coefficient, and JKR surface energy. Then, the three screened parameters were selected as the influencing factors and the accumulation angle of repose was selected as evaluating indicator; thus, the performance optimization experiments were carried out with the quadratic orthogonal rotation design. Taking the experimentally measured angle of repose value of 54.25°as the target value, the significance parameters were optimized, and the optimal combination was obtained : MM rolling friction factor was 0.21, MM static friction factor was 0.51, and JKR surface energy was 0.65. Finally, the angle of repose and SPP tests were compared under the calibrated parameters. The results showed that the relative error of experimental and simulated tests in angle of repose was 0.57%, and the compression displacement and compression ratio of the experimental and simulated tests in SPP were 1.01% and 0.95%, respectively, which improved the reliability of the simulated results. The research findings provide a reference basis for simulation study and optimal design of related equipment for feed raw materials. Nature Publishing Group UK 2023-06-07 /pmc/articles/PMC10247721/ /pubmed/37286929 http://dx.doi.org/10.1038/s41598-023-36482-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Peng, Fei
Zhang, Limei
Li, Zhiqiang
Chen, Jianming
Calibration and verification of DEM parameters of wet-sticky feed raw materials
title Calibration and verification of DEM parameters of wet-sticky feed raw materials
title_full Calibration and verification of DEM parameters of wet-sticky feed raw materials
title_fullStr Calibration and verification of DEM parameters of wet-sticky feed raw materials
title_full_unstemmed Calibration and verification of DEM parameters of wet-sticky feed raw materials
title_short Calibration and verification of DEM parameters of wet-sticky feed raw materials
title_sort calibration and verification of dem parameters of wet-sticky feed raw materials
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247721/
https://www.ncbi.nlm.nih.gov/pubmed/37286929
http://dx.doi.org/10.1038/s41598-023-36482-w
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