Leveraging feature generalization and decomposition to compute a well-connected midsurface
Computer-aided design (CAD) models of thin-walled parts, such as sheet metal or plastic parts, are often represented by their corresponding midsurfaces for computer-aided engineering (CAE) analysis. The reason being, 2D surface elements, such as “shell” elements, which need to be placed on the midsu...
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description | Computer-aided design (CAD) models of thin-walled parts, such as sheet metal or plastic parts, are often represented by their corresponding midsurfaces for computer-aided engineering (CAE) analysis. The reason being, 2D surface elements, such as “shell” elements, which need to be placed on the midsurface, provide fairly accurate results, while requiring far lesser computational resources time compared to the analysis using 3D solid elements. Existing approachesof midsurface computation are not reliable and robust. They result in ill-connected midsurfaces having missing patches, gaps, overlaps, etc. These errors need to be corrected, mostly by a manual and time-consuming process, requiring from hours to even days. Thus, an automatic and robust technique for computation of a well-connected midsurface is the need of the hour. This paper proposes an approachwhich, instead of working on the complex final solid shape, typically represented by B-rep (boundary representation), leverages feature information available in the modern CAD models for techniques such as defeaturing, generalization, and decomposition. Here, first, the model is defeaturedby removing irrelevant features, generating a simplified shape called “gross shape”. The remaining features are then generalizedto their corresponding generic loft-feature equivalents. The model is then decomposed into sub-volumes, called “cells” having respective owner loft features. A graph is populated, with the cells at the graph nodes. The nodes are classified into midsurface patch-generating nodes (called ‘solid cells’ or
sCell
s) and interaction-resolving nodes (called ‘interface cells’ or
iCell
s). Using owner loft feature’s parameters,
sCell
s compute their own midsurface patches. Using a generic logic, the patches then get connected appropriately in the
iCell
s, resulting in a well-connected midsurface. The efficacy of the approach is demonstrated by computing well-connected midsurfaces of various real-life sheet metal parts. |
doi_str_mv | 10.1007/s00366-016-0466-x |
format | Article |
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sCell
s) and interaction-resolving nodes (called ‘interface cells’ or
iCell
s). Using owner loft feature’s parameters,
sCell
s compute their own midsurface patches. Using a generic logic, the patches then get connected appropriately in the
iCell
s, resulting in a well-connected midsurface. The efficacy of the approach is demonstrated by computing well-connected midsurfaces of various real-life sheet metal parts.</description><identifier>ISSN: 0177-0667</identifier><identifier>EISSN: 1435-5663</identifier><identifier>DOI: 10.1007/s00366-016-0466-x</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Boundary representation ; CAD ; CAE ; CAE) and Design ; Calculus of Variations and Optimal Control; Optimization ; Classical Mechanics ; Computation ; Computer aided design ; Computer aided engineering ; Computer Science ; Computer-Aided Engineering (CAD ; Control ; Decomposition ; Math. Applications in Chemistry ; Mathematical and Computational Engineering ; Mathematical models ; Metal sheets ; Original Article ; Patches (structures) ; Product design ; Robustness (mathematics) ; S parameters ; Systems Theory</subject><ispartof>Engineering with computers, 2017, Vol.33 (1), p.159-170</ispartof><rights>Springer-Verlag London 2016</rights><rights>Engineering with Computers is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-94d6021532b3a0e8da60c73da0c99b33e6eb8c8ec409bea2b9421a1f7ceb91893</citedby><cites>FETCH-LOGICAL-c316t-94d6021532b3a0e8da60c73da0c99b33e6eb8c8ec409bea2b9421a1f7ceb91893</cites><orcidid>0000-0001-5431-5727</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00366-016-0466-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00366-016-0466-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Kulkarni, Yogesh H.</creatorcontrib><creatorcontrib>Sahasrabudhe, Anil</creatorcontrib><creatorcontrib>Kale, Mukund</creatorcontrib><title>Leveraging feature generalization and decomposition to compute a well-connected midsurface</title><title>Engineering with computers</title><addtitle>Engineering with Computers</addtitle><description>Computer-aided design (CAD) models of thin-walled parts, such as sheet metal or plastic parts, are often represented by their corresponding midsurfaces for computer-aided engineering (CAE) analysis. The reason being, 2D surface elements, such as “shell” elements, which need to be placed on the midsurface, provide fairly accurate results, while requiring far lesser computational resources time compared to the analysis using 3D solid elements. Existing approachesof midsurface computation are not reliable and robust. They result in ill-connected midsurfaces having missing patches, gaps, overlaps, etc. These errors need to be corrected, mostly by a manual and time-consuming process, requiring from hours to even days. Thus, an automatic and robust technique for computation of a well-connected midsurface is the need of the hour. This paper proposes an approachwhich, instead of working on the complex final solid shape, typically represented by B-rep (boundary representation), leverages feature information available in the modern CAD models for techniques such as defeaturing, generalization, and decomposition. Here, first, the model is defeaturedby removing irrelevant features, generating a simplified shape called “gross shape”. The remaining features are then generalizedto their corresponding generic loft-feature equivalents. The model is then decomposed into sub-volumes, called “cells” having respective owner loft features. A graph is populated, with the cells at the graph nodes. The nodes are classified into midsurface patch-generating nodes (called ‘solid cells’ or
sCell
s) and interaction-resolving nodes (called ‘interface cells’ or
iCell
s). Using owner loft feature’s parameters,
sCell
s compute their own midsurface patches. Using a generic logic, the patches then get connected appropriately in the
iCell
s, resulting in a well-connected midsurface. The efficacy of the approach is demonstrated by computing well-connected midsurfaces of various real-life sheet metal parts.</description><subject>Boundary representation</subject><subject>CAD</subject><subject>CAE</subject><subject>CAE) and Design</subject><subject>Calculus of Variations and Optimal Control; Optimization</subject><subject>Classical Mechanics</subject><subject>Computation</subject><subject>Computer aided design</subject><subject>Computer aided engineering</subject><subject>Computer Science</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Control</subject><subject>Decomposition</subject><subject>Math. Applications in Chemistry</subject><subject>Mathematical and Computational Engineering</subject><subject>Mathematical models</subject><subject>Metal sheets</subject><subject>Original Article</subject><subject>Patches (structures)</subject><subject>Product design</subject><subject>Robustness (mathematics)</subject><subject>S parameters</subject><subject>Systems Theory</subject><issn>0177-0667</issn><issn>1435-5663</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1UE1LxDAQDaLguvoDvAU8RydNmzZHWfyCBS968RLSdFq6dJM1af369WatBy8yDDPzeO8NPELOOVxygPIqAggpGfDUeVo-DsiC56JghZTikCyAlyUDKctjchLjBoALALUgL2t8w2C63nW0RTNOAWmHLkFD_2XG3jtqXEMbtH6787H_QUZP9-c0IjX0HYeBWe8c2hEbuu2bOIXWWDwlR60ZIp79ziV5vr15Wt2z9ePdw-p6zazgcmQqbyRkvBBZLQxg1RgJthSNAatULQRKrCtboc1B1WiyWuUZN7wtLdaKV0osycXsuwv-dcI46o2fgksvNVeZUjJVkVh8ZtngYwzY6l3otyZ8ag56H6GeI9QpQr2PUH8kTTZrYuK6DsMf539F3-igdiU</recordid><startdate>2017</startdate><enddate>2017</enddate><creator>Kulkarni, Yogesh H.</creator><creator>Sahasrabudhe, Anil</creator><creator>Kale, Mukund</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7TB</scope><scope>7XB</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0001-5431-5727</orcidid></search><sort><creationdate>2017</creationdate><title>Leveraging feature generalization and decomposition to compute a well-connected midsurface</title><author>Kulkarni, Yogesh H. ; Sahasrabudhe, Anil ; Kale, Mukund</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-94d6021532b3a0e8da60c73da0c99b33e6eb8c8ec409bea2b9421a1f7ceb91893</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Boundary representation</topic><topic>CAD</topic><topic>CAE</topic><topic>CAE) and Design</topic><topic>Calculus of Variations and Optimal Control; Optimization</topic><topic>Classical Mechanics</topic><topic>Computation</topic><topic>Computer aided design</topic><topic>Computer aided engineering</topic><topic>Computer Science</topic><topic>Computer-Aided Engineering (CAD</topic><topic>Control</topic><topic>Decomposition</topic><topic>Math. Applications in Chemistry</topic><topic>Mathematical and Computational Engineering</topic><topic>Mathematical models</topic><topic>Metal sheets</topic><topic>Original Article</topic><topic>Patches (structures)</topic><topic>Product design</topic><topic>Robustness (mathematics)</topic><topic>S parameters</topic><topic>Systems Theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kulkarni, Yogesh H.</creatorcontrib><creatorcontrib>Sahasrabudhe, Anil</creatorcontrib><creatorcontrib>Kale, Mukund</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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><collection>ProQuest Central Basic</collection><jtitle>Engineering with computers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kulkarni, Yogesh H.</au><au>Sahasrabudhe, Anil</au><au>Kale, Mukund</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Leveraging feature generalization and decomposition to compute a well-connected midsurface</atitle><jtitle>Engineering with computers</jtitle><stitle>Engineering with Computers</stitle><date>2017</date><risdate>2017</risdate><volume>33</volume><issue>1</issue><spage>159</spage><epage>170</epage><pages>159-170</pages><issn>0177-0667</issn><eissn>1435-5663</eissn><abstract>Computer-aided design (CAD) models of thin-walled parts, such as sheet metal or plastic parts, are often represented by their corresponding midsurfaces for computer-aided engineering (CAE) analysis. The reason being, 2D surface elements, such as “shell” elements, which need to be placed on the midsurface, provide fairly accurate results, while requiring far lesser computational resources time compared to the analysis using 3D solid elements. Existing approachesof midsurface computation are not reliable and robust. They result in ill-connected midsurfaces having missing patches, gaps, overlaps, etc. These errors need to be corrected, mostly by a manual and time-consuming process, requiring from hours to even days. Thus, an automatic and robust technique for computation of a well-connected midsurface is the need of the hour. This paper proposes an approachwhich, instead of working on the complex final solid shape, typically represented by B-rep (boundary representation), leverages feature information available in the modern CAD models for techniques such as defeaturing, generalization, and decomposition. Here, first, the model is defeaturedby removing irrelevant features, generating a simplified shape called “gross shape”. The remaining features are then generalizedto their corresponding generic loft-feature equivalents. The model is then decomposed into sub-volumes, called “cells” having respective owner loft features. A graph is populated, with the cells at the graph nodes. The nodes are classified into midsurface patch-generating nodes (called ‘solid cells’ or
sCell
s) and interaction-resolving nodes (called ‘interface cells’ or
iCell
s). Using owner loft feature’s parameters,
sCell
s compute their own midsurface patches. Using a generic logic, the patches then get connected appropriately in the
iCell
s, resulting in a well-connected midsurface. The efficacy of the approach is demonstrated by computing well-connected midsurfaces of various real-life sheet metal parts.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1007/s00366-016-0466-x</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-5431-5727</orcidid></addata></record> |
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subjects | Boundary representation CAD CAE CAE) and Design Calculus of Variations and Optimal Control Optimization Classical Mechanics Computation Computer aided design Computer aided engineering Computer Science Computer-Aided Engineering (CAD Control Decomposition Math. Applications in Chemistry Mathematical and Computational Engineering Mathematical models Metal sheets Original Article Patches (structures) Product design Robustness (mathematics) S parameters Systems Theory |
title | Leveraging feature generalization and decomposition to compute a well-connected midsurface |
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