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Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method

In order to study the influence of the multiple interaction of coal and rock and the velocity effect of the cutting head on the flutter stability of the cantilever roadheader, considering the physical characteristics of coal and rock, the structural parameters of the cutting head and the motion para...

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Autores principales: Zhu, Yun, Xie, Miao, Wang, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715679/
https://www.ncbi.nlm.nih.gov/pubmed/36456702
http://dx.doi.org/10.1038/s41598-022-25409-6
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author Zhu, Yun
Xie, Miao
Wang, He
author_facet Zhu, Yun
Xie, Miao
Wang, He
author_sort Zhu, Yun
collection PubMed
description In order to study the influence of the multiple interaction of coal and rock and the velocity effect of the cutting head on the flutter stability of the cantilever roadheader, considering the physical characteristics of coal and rock, the structural parameters of the cutting head and the motion parameters of the cutting head, the functional expression of the cutting depth of the cutting head and the participating cutting teeth is fitted, the cutting state mechanical characteristic equation of the dynamic cutting of the cutting teeth is established, and based on the mapping relationship between the cutting teeth and the cutting head, a cutting dynamic model including multiple interactions between cutting head and coal and rock and the speed effect is constructed. An improved discrete method based on Newton–Lagrange mixed interpolation is proposed, and the influence law of the coupling effect of regeneration effect and velocity effect on the stability of cutting flutter under cutting state is clarified. The improved full discrete method is compared with the full discrete method and the semi-discrete method, and the superiority of the improved full discrete method based on the mixed interpolation method is proved. Based on the improved total discrete method, the influence of different cutting system dynamic parameters on the stability is studied. A cutting head coal rock system is built to simulate the flutter of the cutting system. The results show that the improved fully discrete method can reasonably predict the actual cutting state.
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spelling pubmed-97156792022-12-03 Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method Zhu, Yun Xie, Miao Wang, He Sci Rep Article In order to study the influence of the multiple interaction of coal and rock and the velocity effect of the cutting head on the flutter stability of the cantilever roadheader, considering the physical characteristics of coal and rock, the structural parameters of the cutting head and the motion parameters of the cutting head, the functional expression of the cutting depth of the cutting head and the participating cutting teeth is fitted, the cutting state mechanical characteristic equation of the dynamic cutting of the cutting teeth is established, and based on the mapping relationship between the cutting teeth and the cutting head, a cutting dynamic model including multiple interactions between cutting head and coal and rock and the speed effect is constructed. An improved discrete method based on Newton–Lagrange mixed interpolation is proposed, and the influence law of the coupling effect of regeneration effect and velocity effect on the stability of cutting flutter under cutting state is clarified. The improved full discrete method is compared with the full discrete method and the semi-discrete method, and the superiority of the improved full discrete method based on the mixed interpolation method is proved. Based on the improved total discrete method, the influence of different cutting system dynamic parameters on the stability is studied. A cutting head coal rock system is built to simulate the flutter of the cutting system. The results show that the improved fully discrete method can reasonably predict the actual cutting state. Nature Publishing Group UK 2022-12-01 /pmc/articles/PMC9715679/ /pubmed/36456702 http://dx.doi.org/10.1038/s41598-022-25409-6 Text en © The Author(s) 2022 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
Zhu, Yun
Xie, Miao
Wang, He
Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method
title Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method
title_full Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method
title_fullStr Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method
title_full_unstemmed Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method
title_short Prediction method of cutting stability of roadheader based on the Newton–Lagrange mixed discrete method
title_sort prediction method of cutting stability of roadheader based on the newton–lagrange mixed discrete method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715679/
https://www.ncbi.nlm.nih.gov/pubmed/36456702
http://dx.doi.org/10.1038/s41598-022-25409-6
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