Optimal design of rail grinding patterns based on a rail grinding target profile
Based on the grinding target profile of the rail and the grinding capacity of a single grinding stone, a numerical calculation method for rail grinding patterns that includes grinding angle and grinding power of each grinding stone of the GMC96 rail grinding train was designed and established. By me...
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Veröffentlicht in: | Proceedings of the Institution of Mechanical Engineers. Part F, Journal of rail and rapid transit Journal of rail and rapid transit, 2018-02, Vol.232 (2), p.560-571 |
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container_title | Proceedings of the Institution of Mechanical Engineers. Part F, Journal of rail and rapid transit |
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creator | Lin, Qiang Guo, Jun Wang, Heng-yu Wang, Wen-jian Liu, Qi-yue |
description | Based on the grinding target profile of the rail and the grinding capacity of a single grinding stone, a numerical calculation method for rail grinding patterns that includes grinding angle and grinding power of each grinding stone of the GMC96 rail grinding train was designed and established. By means of this numerical method, the grinding pattern of each grinding pass was optimized and the rail head profile after grinding was calculated. Furthermore, a method for the evaluation of the grinding quality is provided. The results indicate that in multipass rail grinding, a sequence of grinding passes – where the greatest grinding effort is applied on the earlier passes, with the last pass applying reducing levels of grinding effort – produces the highest conformance to the target grinding profile. For example, when rail grinding is planned for two passes, applying 60% of the total grinding effort on the first pass and 40% on the second pass decreases the final grinding error by 7.3%. |
doi_str_mv | 10.1177/0954409716679447 |
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By means of this numerical method, the grinding pattern of each grinding pass was optimized and the rail head profile after grinding was calculated. Furthermore, a method for the evaluation of the grinding quality is provided. The results indicate that in multipass rail grinding, a sequence of grinding passes – where the greatest grinding effort is applied on the earlier passes, with the last pass applying reducing levels of grinding effort – produces the highest conformance to the target grinding profile. For example, when rail grinding is planned for two passes, applying 60% of the total grinding effort on the first pass and 40% on the second pass decreases the final grinding error by 7.3%.</description><identifier>ISSN: 0954-4097</identifier><identifier>EISSN: 2041-3017</identifier><identifier>DOI: 10.1177/0954409716679447</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Grinding ; Mathematical analysis ; Numerical analysis ; Railway engineering</subject><ispartof>Proceedings of the Institution of Mechanical Engineers. 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For example, when rail grinding is planned for two passes, applying 60% of the total grinding effort on the first pass and 40% on the second pass decreases the final grinding error by 7.3%.</description><subject>Grinding</subject><subject>Mathematical analysis</subject><subject>Numerical analysis</subject><subject>Railway engineering</subject><issn>0954-4097</issn><issn>2041-3017</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kM1LxDAQxYMoWFfvHgOeq0nz1RxlUVdYWA96Dmk6KV1qW5Pswf_elPUgC85lDu837_EGoVtK7ilV6oFowTnRikqpNOfqDBUV4bRkhKpzVCxyueiX6CrGPcnDK16gt92c-k874BZi34148jjYfsBd6Me2Hzs825QgjBE3NkKLpxHbEyLZ0EHCc5h8P8A1uvB2iHDzu1fo4_npfb0pt7uX1_XjtnSM6FQ64JZVUksJStZcC6GkqxoGja2VUwJqL7SwVDRcM08E5Ypn1BHHWuFdy1bo7uibc78OEJPZT4cw5khDtda10Ll4psiRcmGKMYA3c8h1w7ehxCx_M6d_yyfl8STaDv6Y_sf_ACK9bCc</recordid><startdate>201802</startdate><enddate>201802</enddate><creator>Lin, Qiang</creator><creator>Guo, Jun</creator><creator>Wang, Heng-yu</creator><creator>Wang, Wen-jian</creator><creator>Liu, Qi-yue</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201802</creationdate><title>Optimal design of rail grinding patterns based on a rail grinding target profile</title><author>Lin, Qiang ; Guo, Jun ; Wang, Heng-yu ; Wang, Wen-jian ; Liu, Qi-yue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c309t-ce4a326966e768495576c2b3eba87c75e8f595a15b493f0514746e7c0c3d5fcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Grinding</topic><topic>Mathematical analysis</topic><topic>Numerical analysis</topic><topic>Railway engineering</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Qiang</creatorcontrib><creatorcontrib>Guo, Jun</creatorcontrib><creatorcontrib>Wang, Heng-yu</creatorcontrib><creatorcontrib>Wang, Wen-jian</creatorcontrib><creatorcontrib>Liu, Qi-yue</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Proceedings of the Institution of Mechanical Engineers. 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subjects | Grinding Mathematical analysis Numerical analysis Railway engineering |
title | Optimal design of rail grinding patterns based on a rail grinding target profile |
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