A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification

This paper proposes a cutting head optimization method based on meshing the spatial position of the picks. According to the expanded shape of the spatial mesh composed of four adjacent picks on the plane, a standard mesh shape analysis method can be established with mesh skewness, mesh symmetry, and...

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Autores principales:	Mengqi Zhang, Xianguo Yan, Guoqiang Qin
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2dd1bac8d9e140b694c02e08b6ab34f2
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id	oai:doaj.org-article:2dd1bac8d9e140b694c02e08b6ab34f2
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spelling	oai:doaj.org-article:2dd1bac8d9e140b694c02e08b6ab34f22021-11-25T06:19:45ZA new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification1932-6203https://doaj.org/article/2dd1bac8d9e140b694c02e08b6ab34f22021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8598057/?tool=EBIhttps://doaj.org/toc/1932-6203This paper proposes a cutting head optimization method based on meshing the spatial position of the picks. According to the expanded shape of the spatial mesh composed of four adjacent picks on the plane, a standard mesh shape analysis method can be established with mesh skewness, mesh symmetry, and mesh area ratio as the indicators. The traversal algorithm is used to calculate the theoretical meshing rate, pick rotation coefficient, and the variation of cutting load for the longitudinal cutting head with 2, 3, and 4 helices. The results show that the 3-helix longitudinal cutting head has better performance. By using the traversal result with maximum theoretical meshing rate as the design parameter, the longitudinal cutting head CH51 with 51 picks was designed and analyzed. The prediction model of pick consumption is established based on cutting speed, direct rock cutting volume of each pick, pick rotation coefficient, uniaxial compressive strength, and CERCHAR abrasivity index. And the rock with normal distribution characteristics of Uniaxial Compressive Strength is used for the specific energy calculating. The artificial rock wall cutting test results show that the reduction in height loss suppresses the increase in pick equivalent loss caused by the increase in mass loss, and the pick consumption in this test is only 0.037–0.054 picks/m3. In addition, the correlation between the actual pick consumption and the prediction model, and the correlation between the actual cutting specific energy and the theoretical calculation value are also analyzed. The research results show that the pick arrangement design method based on meshing pick tip spatial position can effectively reduce pick consumption and improve the rock cutting performance.Mengqi ZhangXianguo YanGuoqiang QinPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Mengqi Zhang Xianguo Yan Guoqiang Qin A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification
description	This paper proposes a cutting head optimization method based on meshing the spatial position of the picks. According to the expanded shape of the spatial mesh composed of four adjacent picks on the plane, a standard mesh shape analysis method can be established with mesh skewness, mesh symmetry, and mesh area ratio as the indicators. The traversal algorithm is used to calculate the theoretical meshing rate, pick rotation coefficient, and the variation of cutting load for the longitudinal cutting head with 2, 3, and 4 helices. The results show that the 3-helix longitudinal cutting head has better performance. By using the traversal result with maximum theoretical meshing rate as the design parameter, the longitudinal cutting head CH51 with 51 picks was designed and analyzed. The prediction model of pick consumption is established based on cutting speed, direct rock cutting volume of each pick, pick rotation coefficient, uniaxial compressive strength, and CERCHAR abrasivity index. And the rock with normal distribution characteristics of Uniaxial Compressive Strength is used for the specific energy calculating. The artificial rock wall cutting test results show that the reduction in height loss suppresses the increase in pick equivalent loss caused by the increase in mass loss, and the pick consumption in this test is only 0.037–0.054 picks/m3. In addition, the correlation between the actual pick consumption and the prediction model, and the correlation between the actual cutting specific energy and the theoretical calculation value are also analyzed. The research results show that the pick arrangement design method based on meshing pick tip spatial position can effectively reduce pick consumption and improve the rock cutting performance.
format	article
author	Mengqi Zhang Xianguo Yan Guoqiang Qin
author_facet	Mengqi Zhang Xianguo Yan Guoqiang Qin
author_sort	Mengqi Zhang
title	A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification
title_short	A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification
title_full	A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification
title_fullStr	A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification
title_full_unstemmed	A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification
title_sort	new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/2dd1bac8d9e140b694c02e08b6ab34f2
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_version_	1718413853377691648

A new method for roadheader pick arrangement based on meshing pick spatial position and rock cutting verification

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