Digital twin-driven CNC spindle performance assessment
The performance of CNC spindle directly affects the machining accuracy and processing speed of the machine tool. The time-varying environment and complex working conditions increase difficulty of thoroughly assessing the spindle relying on experimental test. Therefore, this paper proposes a comprehe...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2022-03, Vol.119 (3-4), p.1821-1833 |
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| container_end_page | 1833 |
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| container_issue | 3-4 |
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| container_title | International journal of advanced manufacturing technology |
| container_volume | 119 |
| creator | Xue, Ruijuan Zhou, Xiang Huang, Zuguang Zhang, Fengli Tao, Fei Wang, Jinjiang |
| description | The performance of CNC spindle directly affects the machining accuracy and processing speed of the machine tool. The time-varying environment and complex working conditions increase difficulty of thoroughly assessing the spindle relying on experimental test. Therefore, this paper proposes a comprehensive framework for assessing the performance of the spindle driven by digital twin. First, a multi-domain modeling method is used to establish a spindle twin model, and then an index system for assessing spindle performance is constructed combining experimental test and simulation. A multi-index fusion assessment that combines subjective and objective weights is presented to construct the performance assessment level, which comprehensively assesses the performance of the spindle from multiple dimensions such as vibration, temperature, and stiffness. Finally, the JSC180A electric spindle is selected to verify the proposed method. The conclusion that the electro-spindle is operating in good condition is consistent with the on-site inspection, which verifies the effectiveness of the proposed method and the feasibility of its on-site application. |
| doi_str_mv | 10.1007/s00170-021-08403-6 |
| format | Article |
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The time-varying environment and complex working conditions increase difficulty of thoroughly assessing the spindle relying on experimental test. Therefore, this paper proposes a comprehensive framework for assessing the performance of the spindle driven by digital twin. First, a multi-domain modeling method is used to establish a spindle twin model, and then an index system for assessing spindle performance is constructed combining experimental test and simulation. A multi-index fusion assessment that combines subjective and objective weights is presented to construct the performance assessment level, which comprehensively assesses the performance of the spindle from multiple dimensions such as vibration, temperature, and stiffness. Finally, the JSC180A electric spindle is selected to verify the proposed method. The conclusion that the electro-spindle is operating in good condition is consistent with the on-site inspection, which verifies the effectiveness of the proposed method and the feasibility of its on-site application.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-021-08403-6</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Accuracy ; Advanced manufacturing technologies ; CAE) and Design ; Computer-Aided Engineering (CAD ; Deformation ; Digital twins ; Engineering ; Industrial and Production Engineering ; Inspection ; Machine tools ; Machining ; Mechanical Engineering ; Media Management ; Numerical controls ; Onsite ; Original Article ; Performance assessment ; Performance evaluation ; Simulation ; Spindles ; Stiffness ; Test methods</subject><ispartof>International journal of advanced manufacturing technology, 2022-03, Vol.119 (3-4), p.1821-1833</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-f4a2311668883604e7daa694f963e3ea876ee702ea746501a6e224dd7895f7393</citedby><cites>FETCH-LOGICAL-c319t-f4a2311668883604e7daa694f963e3ea876ee702ea746501a6e224dd7895f7393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00170-021-08403-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-021-08403-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Xue, Ruijuan</creatorcontrib><creatorcontrib>Zhou, Xiang</creatorcontrib><creatorcontrib>Huang, Zuguang</creatorcontrib><creatorcontrib>Zhang, Fengli</creatorcontrib><creatorcontrib>Tao, Fei</creatorcontrib><creatorcontrib>Wang, Jinjiang</creatorcontrib><title>Digital twin-driven CNC spindle performance assessment</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>The performance of CNC spindle directly affects the machining accuracy and processing speed of the machine tool. The time-varying environment and complex working conditions increase difficulty of thoroughly assessing the spindle relying on experimental test. Therefore, this paper proposes a comprehensive framework for assessing the performance of the spindle driven by digital twin. First, a multi-domain modeling method is used to establish a spindle twin model, and then an index system for assessing spindle performance is constructed combining experimental test and simulation. A multi-index fusion assessment that combines subjective and objective weights is presented to construct the performance assessment level, which comprehensively assesses the performance of the spindle from multiple dimensions such as vibration, temperature, and stiffness. Finally, the JSC180A electric spindle is selected to verify the proposed method. The conclusion that the electro-spindle is operating in good condition is consistent with the on-site inspection, which verifies the effectiveness of the proposed method and the feasibility of its on-site application.</description><subject>Accuracy</subject><subject>Advanced manufacturing technologies</subject><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Deformation</subject><subject>Digital twins</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Inspection</subject><subject>Machine tools</subject><subject>Machining</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Numerical controls</subject><subject>Onsite</subject><subject>Original Article</subject><subject>Performance assessment</subject><subject>Performance evaluation</subject><subject>Simulation</subject><subject>Spindles</subject><subject>Stiffness</subject><subject>Test methods</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kEtLxDAURoMoOFb_gKuC6-jNozfpUuoTBt3oOoTp7dBhJq1JR_HfG63gztXdnO9cOIydC7gUAOYqAQgDHKTgYDUojgdsIbRSXIGoDtkCJFquDNpjdpLSJuMo0C4Y3vTrfvLbcvroA29j_06hbJ6aMo19aLdUjhS7Ie58WFHpU6KUdhSmU3bU-W2is99bsNe725fmgS-f7x-b6yVfKVFPvNNeKiEQrbUKQZNpvcdadzUqUuStQSIDkrzRWIHwSFLqtjW2rjqjalWwi9k7xuFtT2lym2EfQ37pJCrI3iqbCyZnahWHlCJ1boz9zsdPJ8B993FzH5f7uJ8-DvNIzaOU4bCm-Kf-Z_UFKztmWg</recordid><startdate>20220301</startdate><enddate>20220301</enddate><creator>Xue, Ruijuan</creator><creator>Zhou, Xiang</creator><creator>Huang, Zuguang</creator><creator>Zhang, Fengli</creator><creator>Tao, Fei</creator><creator>Wang, Jinjiang</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20220301</creationdate><title>Digital twin-driven CNC spindle performance assessment</title><author>Xue, Ruijuan ; Zhou, Xiang ; Huang, Zuguang ; Zhang, Fengli ; Tao, Fei ; Wang, Jinjiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-f4a2311668883604e7daa694f963e3ea876ee702ea746501a6e224dd7895f7393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accuracy</topic><topic>Advanced manufacturing technologies</topic><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Deformation</topic><topic>Digital twins</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Inspection</topic><topic>Machine tools</topic><topic>Machining</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Numerical controls</topic><topic>Onsite</topic><topic>Original Article</topic><topic>Performance assessment</topic><topic>Performance evaluation</topic><topic>Simulation</topic><topic>Spindles</topic><topic>Stiffness</topic><topic>Test methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xue, Ruijuan</creatorcontrib><creatorcontrib>Zhou, Xiang</creatorcontrib><creatorcontrib>Huang, Zuguang</creatorcontrib><creatorcontrib>Zhang, Fengli</creatorcontrib><creatorcontrib>Tao, Fei</creatorcontrib><creatorcontrib>Wang, Jinjiang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xue, Ruijuan</au><au>Zhou, Xiang</au><au>Huang, Zuguang</au><au>Zhang, Fengli</au><au>Tao, Fei</au><au>Wang, Jinjiang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital twin-driven CNC spindle performance assessment</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2022-03-01</date><risdate>2022</risdate><volume>119</volume><issue>3-4</issue><spage>1821</spage><epage>1833</epage><pages>1821-1833</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>The performance of CNC spindle directly affects the machining accuracy and processing speed of the machine tool. The time-varying environment and complex working conditions increase difficulty of thoroughly assessing the spindle relying on experimental test. Therefore, this paper proposes a comprehensive framework for assessing the performance of the spindle driven by digital twin. First, a multi-domain modeling method is used to establish a spindle twin model, and then an index system for assessing spindle performance is constructed combining experimental test and simulation. A multi-index fusion assessment that combines subjective and objective weights is presented to construct the performance assessment level, which comprehensively assesses the performance of the spindle from multiple dimensions such as vibration, temperature, and stiffness. Finally, the JSC180A electric spindle is selected to verify the proposed method. The conclusion that the electro-spindle is operating in good condition is consistent with the on-site inspection, which verifies the effectiveness of the proposed method and the feasibility of its on-site application.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-021-08403-6</doi><tpages>13</tpages></addata></record> |
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| subjects | Accuracy Advanced manufacturing technologies CAE) and Design Computer-Aided Engineering (CAD Deformation Digital twins Engineering Industrial and Production Engineering Inspection Machine tools Machining Mechanical Engineering Media Management Numerical controls Onsite Original Article Performance assessment Performance evaluation Simulation Spindles Stiffness Test methods |
| title | Digital twin-driven CNC spindle performance assessment |
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