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
Hauptverfasser: Gramegna, Nicola, Corte, Emilia Della, Poles, Silvia
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container_title Materials and manufacturing processes
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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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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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