Automatic generation of in-process models based on feature working step and feature cutter volume
A 3D in-process model shows the intermediate shape of workpiece intuitively in different machining stages. Automatic generation of in-process models is one of the most important key technologies in 3D computer aided process planning (CAPP) system, which shortens modeling time and improves the accura...
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Veröffentlicht in: | International journal of advanced manufacturing technology 2014-03, Vol.71 (1-4), p.395-409 |
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creator | Li, Jianxun Chen, Zhuoning Yan, Xiaoguang |
description | A 3D in-process model shows the intermediate shape of workpiece intuitively in different machining stages. Automatic generation of in-process models is one of the most important key technologies in 3D computer aided process planning (CAPP) system, which shortens modeling time and improves the accuracy of model expression. This paper describes implementation of an automatic generation of in-process models based on feature working steps (FWSs) and feature cutter volumes (FCVs). The principle is proposed to demonstrate the relationship between machining process information and in-process models. The expression and analysis of process route based on FWS is completed. And then two kinds of FCV constructions and instantiations are studied. One is parameterization for stable feature and the other is layering and reverse reconstruction for semi-stable feature. Two examples are presented to illustrate the approach. |
doi_str_mv | 10.1007/s00170-013-5507-7 |
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Two examples are presented to illustrate the approach.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-013-5507-7</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>CAE) and Design ; Computer aided operations ; Computer-Aided Engineering (CAD ; Engineering ; Industrial and Production Engineering ; Machining ; Mechanical Engineering ; Media Management ; Model accuracy ; Original Article ; Parameterization ; Process planning ; Three dimensional models ; Workpieces</subject><ispartof>International journal of advanced manufacturing technology, 2014-03, Vol.71 (1-4), p.395-409</ispartof><rights>Springer-Verlag London 2013</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2013). 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Automatic generation of in-process models is one of the most important key technologies in 3D computer aided process planning (CAPP) system, which shortens modeling time and improves the accuracy of model expression. This paper describes implementation of an automatic generation of in-process models based on feature working steps (FWSs) and feature cutter volumes (FCVs). The principle is proposed to demonstrate the relationship between machining process information and in-process models. The expression and analysis of process route based on FWS is completed. And then two kinds of FCV constructions and instantiations are studied. One is parameterization for stable feature and the other is layering and reverse reconstruction for semi-stable feature. Two examples are presented to illustrate the approach.</description><subject>CAE) and Design</subject><subject>Computer aided operations</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Machining</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Model accuracy</subject><subject>Original Article</subject><subject>Parameterization</subject><subject>Process planning</subject><subject>Three dimensional models</subject><subject>Workpieces</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kE9LAzEQxYMoWKsfwFvAc3SS7Ca5luI_KHjRc8hmZ8vW7qYmWcVvb2pFT55mYN57M_Mj5JLDNQfQNwmAa2DAJatr0EwfkRmvpGQSeH1MZiCUYVIrc0rOUtoUteLKzIhbTDkMLveernHEWLow0tDRfmS7GDymRIfQ4jbRxiVsaZl26PIUkX6E-NqPa5oy7qgb29-Bn3LGSN_DdhrwnJx0bpvw4qfOycvd7fPyga2e7h-XixXzkqvMvBeaO8lboRpUlWoraUyrhRdKcDDOGOV17TtTIzTQ1nUreKW6RnlwnQYj5-TqkFvOfpswZbsJUxzLSitKRvldfqv4QeVjSCliZ3exH1z8tBzsnqQ9kLSFpN2TtLp4xMGTinZcY_xL_t_0BRc1dog</recordid><startdate>20140301</startdate><enddate>20140301</enddate><creator>Li, Jianxun</creator><creator>Chen, Zhuoning</creator><creator>Yan, Xiaoguang</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>20140301</creationdate><title>Automatic generation of in-process models based on feature working step and feature cutter volume</title><author>Li, Jianxun ; Chen, Zhuoning ; Yan, Xiaoguang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-cc271a31d26be646d4388d72c262108a886c75cf85e0b0d55d2146fb6c0af7083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>CAE) and Design</topic><topic>Computer aided operations</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Machining</topic><topic>Mechanical Engineering</topic><topic>Media Management</topic><topic>Model accuracy</topic><topic>Original Article</topic><topic>Parameterization</topic><topic>Process planning</topic><topic>Three dimensional models</topic><topic>Workpieces</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Jianxun</creatorcontrib><creatorcontrib>Chen, Zhuoning</creatorcontrib><creatorcontrib>Yan, Xiaoguang</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>Li, Jianxun</au><au>Chen, Zhuoning</au><au>Yan, Xiaoguang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automatic generation of in-process models based on feature working step and feature cutter volume</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2014-03-01</date><risdate>2014</risdate><volume>71</volume><issue>1-4</issue><spage>395</spage><epage>409</epage><pages>395-409</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>A 3D in-process model shows the intermediate shape of workpiece intuitively in different machining stages. 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subjects | CAE) and Design Computer aided operations Computer-Aided Engineering (CAD Engineering Industrial and Production Engineering Machining Mechanical Engineering Media Management Model accuracy Original Article Parameterization Process planning Three dimensional models Workpieces |
title | Automatic generation of in-process models based on feature working step and feature cutter volume |
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