Modeling machining errors for thin-walled parts according to chip thickness
In the milling process of titanium alloy thin-walled parts, because of its low stiffness, processing deformation easily occurs, which results in in low-dimensional accuracy of machined surface and affecting the workpiece performance. Cutting force is the main factor that causes cutting deformation....
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2019-07, Vol.103 (1-4), p.91-100 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Yue, Caixu Chen, Zhitao Liang, Steven Y. Gao, Haining Liu, Xianli |
| description | In the milling process of titanium alloy thin-walled parts, because of its low stiffness, processing deformation easily occurs, which results in in low-dimensional accuracy of machined surface and affecting the workpiece performance. Cutting force is the main factor that causes cutting deformation. Cutting deformation also affects cutting force. There is a coupling relationship between them. To solve the above problems, a method is proposed to predict the surface error by calculating the milling force by varying the chip thickness and by coupling the force with the elastic deformation of the workpiece. Firstly, the analytical model of bending elasticity deformation of thin-walled parts is established. Then, the micro-unit entrance angle and instantaneous chip thickness are calculated by the contact relationship of workpiece deformation and the chip boundary decision conditions. The cutting force and workpiece deformation at random rotating angle are obtained by iterative calculation method. Finally, the surface error is predicted by calculating the deformation matrix and the principle of surface generation mechanism. The simulation results are in good agreement with the experimental results, which verifies the accuracy of the proposed method. The results provide theoretical support for milling process optimization and profile accuracy control of titanium alloy thin-walled parts. |
| doi_str_mv | 10.1007/s00170-019-03474-y |
| format | Article |
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Cutting force is the main factor that causes cutting deformation. Cutting deformation also affects cutting force. There is a coupling relationship between them. To solve the above problems, a method is proposed to predict the surface error by calculating the milling force by varying the chip thickness and by coupling the force with the elastic deformation of the workpiece. Firstly, the analytical model of bending elasticity deformation of thin-walled parts is established. Then, the micro-unit entrance angle and instantaneous chip thickness are calculated by the contact relationship of workpiece deformation and the chip boundary decision conditions. The cutting force and workpiece deformation at random rotating angle are obtained by iterative calculation method. Finally, the surface error is predicted by calculating the deformation matrix and the principle of surface generation mechanism. The simulation results are in good agreement with the experimental results, which verifies the accuracy of the proposed method. The results provide theoretical support for milling process optimization and profile accuracy control of titanium alloy thin-walled parts.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-019-03474-y</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Accuracy ; CAE) and Design ; Computer simulation ; Computer-Aided Engineering (CAD ; Contact angle ; Coupling ; Cutting force ; Cutting parameters ; Deformation mechanisms ; Elastic deformation ; Elasticity ; Engineering ; Industrial and Production Engineering ; Iterative methods ; Machine tools ; Mathematical models ; Mechanical Engineering ; Media Management ; Milling (machining) ; Optimization ; Original Article ; Stiffness ; Thickness ; Titanium alloys ; Titanium base alloys ; Workpieces</subject><ispartof>International journal of advanced manufacturing technology, 2019-07, Vol.103 (1-4), p.91-100</ispartof><rights>Springer-Verlag London Ltd., part of Springer Nature 2019</rights><rights>Copyright Springer Nature B.V. 2019</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2019). All Rights Reserved.</rights><rights>Springer-Verlag London Ltd., part of Springer Nature 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-56b27973aa5ca2477eb5c19e2dad95ee2a0af31bdcbdfa6091a39e83fd345e993</citedby><cites>FETCH-LOGICAL-c441t-56b27973aa5ca2477eb5c19e2dad95ee2a0af31bdcbdfa6091a39e83fd345e993</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/s00170-019-03474-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-019-03474-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Yue, Caixu</creatorcontrib><creatorcontrib>Chen, Zhitao</creatorcontrib><creatorcontrib>Liang, Steven Y.</creatorcontrib><creatorcontrib>Gao, Haining</creatorcontrib><creatorcontrib>Liu, Xianli</creatorcontrib><title>Modeling machining errors for thin-walled parts according to chip thickness</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>In the milling process of titanium alloy thin-walled parts, because of its low stiffness, processing deformation easily occurs, which results in in low-dimensional accuracy of machined surface and affecting the workpiece performance. Cutting force is the main factor that causes cutting deformation. Cutting deformation also affects cutting force. There is a coupling relationship between them. To solve the above problems, a method is proposed to predict the surface error by calculating the milling force by varying the chip thickness and by coupling the force with the elastic deformation of the workpiece. Firstly, the analytical model of bending elasticity deformation of thin-walled parts is established. Then, the micro-unit entrance angle and instantaneous chip thickness are calculated by the contact relationship of workpiece deformation and the chip boundary decision conditions. The cutting force and workpiece deformation at random rotating angle are obtained by iterative calculation method. Finally, the surface error is predicted by calculating the deformation matrix and the principle of surface generation mechanism. The simulation results are in good agreement with the experimental results, which verifies the accuracy of the proposed method. The results provide theoretical support for milling process optimization and profile accuracy control of titanium alloy thin-walled parts.</description><subject>Accuracy</subject><subject>CAE) and Design</subject><subject>Computer simulation</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Contact angle</subject><subject>Coupling</subject><subject>Cutting force</subject><subject>Cutting parameters</subject><subject>Deformation mechanisms</subject><subject>Elastic deformation</subject><subject>Elasticity</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Iterative methods</subject><subject>Machine tools</subject><subject>Mathematical models</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Milling (machining)</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Stiffness</subject><subject>Thickness</subject><subject>Titanium alloys</subject><subject>Titanium base alloys</subject><subject>Workpieces</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kctOwzAQRS0EEqXwA6wisTaMH7HjJap4iSI2sLYc2yktaRzsVKh_j0OQ2HU1o9G5dxYHoUsC1wRA3iQAIgEDURgYlxzvj9CMcMYwA1IeoxlQUWEmRXWKzlLaZFwQUc3Q80twvl13q2Jr7Me6GzcfY4ipaEIshnzC36ZtvSt6E4dUGGtDdCM2hCIn-pGxn51P6RydNKZN_uJvztH7_d3b4hEvXx-eFrdLbDknAy5FTaWSzJjSGsql9HVpifLUGadK76kB0zBSO1u7xghQxDDlK9Y4xkuvFJujq6m3j-Fr59OgN2EXu_xSU66gkqCEOEjl_1xWSpHDVEmlBMFlpuhE2RhSir7RfVxvTdxrAnoUoCcBOgvQvwL0PofYFEoZ7lY-_lcfSP0AMqKIdA</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Yue, Caixu</creator><creator>Chen, Zhitao</creator><creator>Liang, Steven Y.</creator><creator>Gao, Haining</creator><creator>Liu, Xianli</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>20190701</creationdate><title>Modeling machining errors for thin-walled parts according to chip thickness</title><author>Yue, Caixu ; Chen, Zhitao ; Liang, Steven Y. ; Gao, Haining ; Liu, Xianli</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-56b27973aa5ca2477eb5c19e2dad95ee2a0af31bdcbdfa6091a39e83fd345e993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Accuracy</topic><topic>CAE) and Design</topic><topic>Computer simulation</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Contact angle</topic><topic>Coupling</topic><topic>Cutting force</topic><topic>Cutting parameters</topic><topic>Deformation mechanisms</topic><topic>Elastic deformation</topic><topic>Elasticity</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Iterative methods</topic><topic>Machine tools</topic><topic>Mathematical models</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Milling (machining)</topic><topic>Optimization</topic><topic>Original Article</topic><topic>Stiffness</topic><topic>Thickness</topic><topic>Titanium alloys</topic><topic>Titanium base alloys</topic><topic>Workpieces</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yue, Caixu</creatorcontrib><creatorcontrib>Chen, Zhitao</creatorcontrib><creatorcontrib>Liang, Steven Y.</creatorcontrib><creatorcontrib>Gao, Haining</creatorcontrib><creatorcontrib>Liu, Xianli</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>Yue, Caixu</au><au>Chen, Zhitao</au><au>Liang, Steven Y.</au><au>Gao, Haining</au><au>Liu, Xianli</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling machining errors for thin-walled parts according to chip thickness</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2019-07-01</date><risdate>2019</risdate><volume>103</volume><issue>1-4</issue><spage>91</spage><epage>100</epage><pages>91-100</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>In the milling process of titanium alloy thin-walled parts, because of its low stiffness, processing deformation easily occurs, which results in in low-dimensional accuracy of machined surface and affecting the workpiece performance. Cutting force is the main factor that causes cutting deformation. Cutting deformation also affects cutting force. There is a coupling relationship between them. To solve the above problems, a method is proposed to predict the surface error by calculating the milling force by varying the chip thickness and by coupling the force with the elastic deformation of the workpiece. Firstly, the analytical model of bending elasticity deformation of thin-walled parts is established. Then, the micro-unit entrance angle and instantaneous chip thickness are calculated by the contact relationship of workpiece deformation and the chip boundary decision conditions. The cutting force and workpiece deformation at random rotating angle are obtained by iterative calculation method. Finally, the surface error is predicted by calculating the deformation matrix and the principle of surface generation mechanism. The simulation results are in good agreement with the experimental results, which verifies the accuracy of the proposed method. The results provide theoretical support for milling process optimization and profile accuracy control of titanium alloy thin-walled parts.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-019-03474-y</doi><tpages>10</tpages></addata></record> |
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| subjects | Accuracy CAE) and Design Computer simulation Computer-Aided Engineering (CAD Contact angle Coupling Cutting force Cutting parameters Deformation mechanisms Elastic deformation Elasticity Engineering Industrial and Production Engineering Iterative methods Machine tools Mathematical models Mechanical Engineering Media Management Milling (machining) Optimization Original Article Stiffness Thickness Titanium alloys Titanium base alloys Workpieces |
| title | Modeling machining errors for thin-walled parts according to chip thickness |
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