Manufacturing Process Simulation for Product Design Chain Optimization
Engineering simulation is, without any doubt, the key strategy to win in a globally competitive environment. The integrated Computer Aided Engineering (CAE) approach considers all life-cycle steps from the design stage to the in-service use. In this work, engineering simulation technologies provide...
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Veröffentlicht in: | Materials and manufacturing processes 2011-04, Vol.26 (3), p.527-533 |
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creator | Gramegna, Nicola Corte, Emilia Della Poles, Silvia |
description | Engineering simulation is, without any doubt, the key strategy to win in a globally competitive environment. The integrated Computer Aided Engineering (CAE) approach considers all life-cycle steps from the design stage to the in-service use. In this work, engineering simulation technologies provide detailed virtual production processes able to predict the final component quality in terms of defects and virtual structural behavior. In turn, the structural behavior provides information about the performance of the component. Furthermore, through the combined use of process and structural simulations, optimization techniques allow to define the component design by automatic design change and to verify the change's effectiveness in terms of structural strength. The most innovative aspect is the possibility to carry out a structural simulation using, as initial condition, the local mechanical properties and the prestress status due to residual stresses at the end of the manufacturing process. In this article, the redesign of the roller support (manufactured in ductile iron GJS400) is presented: conflicting objectives such as minimization of components weight and minimization of deformation. The use of the optimization software modeFRONTIER has allowed exploring different geometric configurations and, thanks to its multiobjective genetic algorithm (MOGA), finding the trade-off curve of conflicting objectives. The final results evidence some areas with high residual peak stresses, which have a decreasing effect on the fatigue life, and underline the importance of considering an extended optimization analysis that includes both the casting simulation and load-case analyses. |
doi_str_mv | 10.1080/10426914.2011.564248 |
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The integrated Computer Aided Engineering (CAE) approach considers all life-cycle steps from the design stage to the in-service use. In this work, engineering simulation technologies provide detailed virtual production processes able to predict the final component quality in terms of defects and virtual structural behavior. In turn, the structural behavior provides information about the performance of the component. Furthermore, through the combined use of process and structural simulations, optimization techniques allow to define the component design by automatic design change and to verify the change's effectiveness in terms of structural strength. The most innovative aspect is the possibility to carry out a structural simulation using, as initial condition, the local mechanical properties and the prestress status due to residual stresses at the end of the manufacturing process. In this article, the redesign of the roller support (manufactured in ductile iron GJS400) is presented: conflicting objectives such as minimization of components weight and minimization of deformation. The use of the optimization software modeFRONTIER has allowed exploring different geometric configurations and, thanks to its multiobjective genetic algorithm (MOGA), finding the trade-off curve of conflicting objectives. 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The integrated Computer Aided Engineering (CAE) approach considers all life-cycle steps from the design stage to the in-service use. In this work, engineering simulation technologies provide detailed virtual production processes able to predict the final component quality in terms of defects and virtual structural behavior. In turn, the structural behavior provides information about the performance of the component. Furthermore, through the combined use of process and structural simulations, optimization techniques allow to define the component design by automatic design change and to verify the change's effectiveness in terms of structural strength. The most innovative aspect is the possibility to carry out a structural simulation using, as initial condition, the local mechanical properties and the prestress status due to residual stresses at the end of the manufacturing process. In this article, the redesign of the roller support (manufactured in ductile iron GJS400) is presented: conflicting objectives such as minimization of components weight and minimization of deformation. The use of the optimization software modeFRONTIER has allowed exploring different geometric configurations and, thanks to its multiobjective genetic algorithm (MOGA), finding the trade-off curve of conflicting objectives. The final results evidence some areas with high residual peak stresses, which have a decreasing effect on the fatigue life, and underline the importance of considering an extended optimization analysis that includes both the casting simulation and load-case analyses.</description><subject>CAE design chain</subject><subject>Casting simulation</subject><subject>Computer programs</subject><subject>Computer simulation</subject><subject>Design engineering</subject><subject>FEA optimization</subject><subject>Genetic algorithms</subject><subject>Initial conditions</subject><subject>Iron microstructure</subject><subject>Mechanical properties</subject><subject>Minimization</subject><subject>Multiobjective optimization</subject><subject>Nodular iron</subject><subject>Optimization</subject><subject>Residual stresses</subject><subject>Structural analysis</subject><issn>1042-6914</issn><issn>1532-2475</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkMFOAyEQQInRxFr9Aw9787QVWFjgZEy1aqKpiXomlIWK2YUKuzH162WtXjVzmMnMm8nkAXCK4AxBDs8RJLgWiMwwRGhGa4IJ3wMTRCtcYsLofq4zUo7MIThK6Q1CJBiiE7B4UH6wSvdDdH5dPMagTUrFk-uGVvUu-MKGOLabQffFlUlu7Yv5q3K-WG5617nPb-oYHFjVJnPyk6fgZXH9PL8t75c3d_PL-1JXDPUlbtiKYcRqaAm0mHEsGpzD5s-4NVZBTQnFitUaYQ71SjVcQFtjiPPQNNUUnO3ubmJ4H0zqZeeSNm2rvAlDkgKimnBO8b8kFzUSFAqWSbIjdQwpRWPlJrpOxa1EUI5-5a9fOfqVO7957WK35nxW1KmPENtG9mrbhmij8tolWf154QuhaoFQ</recordid><startdate>20110411</startdate><enddate>20110411</enddate><creator>Gramegna, Nicola</creator><creator>Corte, Emilia Della</creator><creator>Poles, Silvia</creator><general>Taylor & Francis Group</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20110411</creationdate><title>Manufacturing Process Simulation for Product Design Chain Optimization</title><author>Gramegna, Nicola ; Corte, Emilia Della ; Poles, Silvia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c371t-2d7b721760f40f27829d2d2df6918fefa0c5452a76c1280cbad890f6202efaed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>CAE design chain</topic><topic>Casting simulation</topic><topic>Computer programs</topic><topic>Computer simulation</topic><topic>Design engineering</topic><topic>FEA optimization</topic><topic>Genetic algorithms</topic><topic>Initial conditions</topic><topic>Iron microstructure</topic><topic>Mechanical properties</topic><topic>Minimization</topic><topic>Multiobjective optimization</topic><topic>Nodular iron</topic><topic>Optimization</topic><topic>Residual stresses</topic><topic>Structural analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gramegna, Nicola</creatorcontrib><creatorcontrib>Corte, Emilia Della</creatorcontrib><creatorcontrib>Poles, Silvia</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Materials and manufacturing processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gramegna, Nicola</au><au>Corte, Emilia Della</au><au>Poles, Silvia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Manufacturing Process Simulation for Product Design Chain Optimization</atitle><jtitle>Materials and manufacturing processes</jtitle><date>2011-04-11</date><risdate>2011</risdate><volume>26</volume><issue>3</issue><spage>527</spage><epage>533</epage><pages>527-533</pages><issn>1042-6914</issn><eissn>1532-2475</eissn><abstract>Engineering simulation is, without any doubt, the key strategy to win in a globally competitive environment. The integrated Computer Aided Engineering (CAE) approach considers all life-cycle steps from the design stage to the in-service use. In this work, engineering simulation technologies provide detailed virtual production processes able to predict the final component quality in terms of defects and virtual structural behavior. In turn, the structural behavior provides information about the performance of the component. Furthermore, through the combined use of process and structural simulations, optimization techniques allow to define the component design by automatic design change and to verify the change's effectiveness in terms of structural strength. The most innovative aspect is the possibility to carry out a structural simulation using, as initial condition, the local mechanical properties and the prestress status due to residual stresses at the end of the manufacturing process. In this article, the redesign of the roller support (manufactured in ductile iron GJS400) is presented: conflicting objectives such as minimization of components weight and minimization of deformation. The use of the optimization software modeFRONTIER has allowed exploring different geometric configurations and, thanks to its multiobjective genetic algorithm (MOGA), finding the trade-off curve of conflicting objectives. The final results evidence some areas with high residual peak stresses, which have a decreasing effect on the fatigue life, and underline the importance of considering an extended optimization analysis that includes both the casting simulation and load-case analyses.</abstract><pub>Taylor & Francis Group</pub><doi>10.1080/10426914.2011.564248</doi><tpages>7</tpages></addata></record> |
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subjects | CAE design chain Casting simulation Computer programs Computer simulation Design engineering FEA optimization Genetic algorithms Initial conditions Iron microstructure Mechanical properties Minimization Multiobjective optimization Nodular iron Optimization Residual stresses Structural analysis |
title | Manufacturing Process Simulation for Product Design Chain Optimization |
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