A novel precise integration-based updated numerical integration method for milling stability prediction
Stability lobe diagrams (SLDs) can be employed to determine the stability behavior of a milling process. Hence, SLD recognition is an important issue for an effective stable machining monitoring system. Various methods have been developed for prediction of milling stability. However, the main shortc...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2023-02, Vol.124 (7-8), p.2109-2126 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Liu, WeiChao Yang, Wen-An Chen, YuXin You, YouPeng |
| description | Stability lobe diagrams (SLDs) can be employed to determine the stability behavior of a milling process. Hence, SLD recognition is an important issue for an effective stable machining monitoring system. Various methods have been developed for prediction of milling stability. However, the main shortcoming of such methods is that they cannot accurately and efficiently predict milling stability. This study proposes a novel precise integration-based updated numerical integration method (PI-UNIM) that can be both accurate and efficient in milling stability prediction. The fifth-order Hermite interpolation polynomial for numerical integration formula derivation is addressed in this work. Transition matrix is obtained with the precise integration algorithm. The numerical results obtained using extensive simulation indicate that the proposed method can effectively recognize SLDs for not only low immersion milling situation but also high immersion milling situation. Empirical comparisons show that the proposed method performs better than existing methods in terms of computation accuracy and computation efficiency. A demonstrative example is provided to illustrate the usage of the proposed method. |
| doi_str_mv | 10.1007/s00170-022-10372-3 |
| format | Article |
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Hence, SLD recognition is an important issue for an effective stable machining monitoring system. Various methods have been developed for prediction of milling stability. However, the main shortcoming of such methods is that they cannot accurately and efficiently predict milling stability. This study proposes a novel precise integration-based updated numerical integration method (PI-UNIM) that can be both accurate and efficient in milling stability prediction. The fifth-order Hermite interpolation polynomial for numerical integration formula derivation is addressed in this work. Transition matrix is obtained with the precise integration algorithm. The numerical results obtained using extensive simulation indicate that the proposed method can effectively recognize SLDs for not only low immersion milling situation but also high immersion milling situation. Empirical comparisons show that the proposed method performs better than existing methods in terms of computation accuracy and computation efficiency. A demonstrative example is provided to illustrate the usage of the proposed method.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-022-10372-3</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Accuracy ; Advanced manufacturing technologies ; Algorithms ; CAE) and Design ; Computer-Aided Engineering (CAD ; Efficiency ; Engineering ; Experimental methods ; Hermite polynomials ; Industrial and Production Engineering ; Interpolation ; Mechanical Engineering ; Media Management ; Milling (machining) ; Numerical analysis ; Numerical integration ; Original Article ; Research methodology ; Simulation ; Stability lobes ; Submerging ; Vibration</subject><ispartof>International journal of advanced manufacturing technology, 2023-02, Vol.124 (7-8), p.2109-2126</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c200t-91cb2b5e7ee780ae2f13d72396df0595f3c215057922bef5b2b1767f2aa595ce3</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/s00170-022-10372-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00170-022-10372-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27915,27916,41479,42548,51310</link.rule.ids></links><search><creatorcontrib>Liu, WeiChao</creatorcontrib><creatorcontrib>Yang, Wen-An</creatorcontrib><creatorcontrib>Chen, YuXin</creatorcontrib><creatorcontrib>You, YouPeng</creatorcontrib><title>A novel precise integration-based updated numerical integration method for milling stability prediction</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>Stability lobe diagrams (SLDs) can be employed to determine the stability behavior of a milling process. Hence, SLD recognition is an important issue for an effective stable machining monitoring system. Various methods have been developed for prediction of milling stability. However, the main shortcoming of such methods is that they cannot accurately and efficiently predict milling stability. This study proposes a novel precise integration-based updated numerical integration method (PI-UNIM) that can be both accurate and efficient in milling stability prediction. The fifth-order Hermite interpolation polynomial for numerical integration formula derivation is addressed in this work. Transition matrix is obtained with the precise integration algorithm. The numerical results obtained using extensive simulation indicate that the proposed method can effectively recognize SLDs for not only low immersion milling situation but also high immersion milling situation. Empirical comparisons show that the proposed method performs better than existing methods in terms of computation accuracy and computation efficiency. A demonstrative example is provided to illustrate the usage of the proposed method.</description><subject>Accuracy</subject><subject>Advanced manufacturing technologies</subject><subject>Algorithms</subject><subject>CAE) and Design</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Efficiency</subject><subject>Engineering</subject><subject>Experimental methods</subject><subject>Hermite polynomials</subject><subject>Industrial and Production Engineering</subject><subject>Interpolation</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Milling (machining)</subject><subject>Numerical analysis</subject><subject>Numerical integration</subject><subject>Original Article</subject><subject>Research methodology</subject><subject>Simulation</subject><subject>Stability lobes</subject><subject>Submerging</subject><subject>Vibration</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNp9kEtLxDAUhYMoOD7-gKuA62geJmmXw-ALBtzoOqTpbc3Ql0kqzL83YwVduTqL-51z4UPoitEbRqm-jZQyTQnlnDAqNCfiCK3YnRBEUCaP0YpyVRChVXGKzmLcZVwxVaxQu8bD-AkdngI4HwH7IUEbbPLjQCobocbzVNuUc5h7CN7Z7i-De0jvY42bMeDed50fWhyTrXzn0_4wWnt34C7QSWO7CJc_eY7eHu5fN09k-_L4vFlvieOUJlIyV_FKggbQBbXAGyZqzUWp6obKUjbCcSap1CXnFTQyw0wr3XBr89WBOEfXy-4Uxo8ZYjK7cQ5Dfmm4VpIzpcoyU3yhXBhjDNCYKfjehr1h1ByEmkWoyULNt1AjckkspZjhoYXwO_1P6wue_npd</recordid><startdate>20230201</startdate><enddate>20230201</enddate><creator>Liu, WeiChao</creator><creator>Yang, Wen-An</creator><creator>Chen, YuXin</creator><creator>You, YouPeng</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>20230201</creationdate><title>A novel precise integration-based updated numerical integration method for milling stability prediction</title><author>Liu, WeiChao ; Yang, Wen-An ; Chen, YuXin ; You, YouPeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c200t-91cb2b5e7ee780ae2f13d72396df0595f3c215057922bef5b2b1767f2aa595ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Accuracy</topic><topic>Advanced manufacturing technologies</topic><topic>Algorithms</topic><topic>CAE) and Design</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Efficiency</topic><topic>Engineering</topic><topic>Experimental methods</topic><topic>Hermite polynomials</topic><topic>Industrial and Production Engineering</topic><topic>Interpolation</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Milling (machining)</topic><topic>Numerical analysis</topic><topic>Numerical integration</topic><topic>Original Article</topic><topic>Research methodology</topic><topic>Simulation</topic><topic>Stability lobes</topic><topic>Submerging</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, WeiChao</creatorcontrib><creatorcontrib>Yang, Wen-An</creatorcontrib><creatorcontrib>Chen, YuXin</creatorcontrib><creatorcontrib>You, YouPeng</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</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>Liu, WeiChao</au><au>Yang, Wen-An</au><au>Chen, YuXin</au><au>You, YouPeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel precise integration-based updated numerical integration method for milling stability prediction</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2023-02-01</date><risdate>2023</risdate><volume>124</volume><issue>7-8</issue><spage>2109</spage><epage>2126</epage><pages>2109-2126</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>Stability lobe diagrams (SLDs) can be employed to determine the stability behavior of a milling process. Hence, SLD recognition is an important issue for an effective stable machining monitoring system. Various methods have been developed for prediction of milling stability. However, the main shortcoming of such methods is that they cannot accurately and efficiently predict milling stability. This study proposes a novel precise integration-based updated numerical integration method (PI-UNIM) that can be both accurate and efficient in milling stability prediction. The fifth-order Hermite interpolation polynomial for numerical integration formula derivation is addressed in this work. Transition matrix is obtained with the precise integration algorithm. The numerical results obtained using extensive simulation indicate that the proposed method can effectively recognize SLDs for not only low immersion milling situation but also high immersion milling situation. Empirical comparisons show that the proposed method performs better than existing methods in terms of computation accuracy and computation efficiency. A demonstrative example is provided to illustrate the usage of the proposed method.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00170-022-10372-3</doi><tpages>18</tpages></addata></record> |
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| subjects | Accuracy Advanced manufacturing technologies Algorithms CAE) and Design Computer-Aided Engineering (CAD Efficiency Engineering Experimental methods Hermite polynomials Industrial and Production Engineering Interpolation Mechanical Engineering Media Management Milling (machining) Numerical analysis Numerical integration Original Article Research methodology Simulation Stability lobes Submerging Vibration |
| title | A novel precise integration-based updated numerical integration method for milling stability prediction |
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