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| Content Provider | Springer Nature Link |
|---|---|
| Author | Marjavaara, B. D. Ebermark, S. Lundström, T. S. |
| Copyright Year | 2009 |
| Abstract | A multiobjective surrogate-based inverse modeling technique to predict the spatial and temporal pressure distribution numerically during the fabrication of sheet moulding compounds (SMCs) is introduced. Specifically, an isotropic temperature-dependent Newtonian viscosity model of a SMC charge is fitted to experimental measurements via numerical simulations in order to mimic the temporal pressure distribution at two spatial locations simultaneously. The simulations are performed by using the commercial computational fluid dynamics (CFD) code ANSYS CFX-10.0, and the multiobjective surrogate-based fitting procedure proposed is carried out with a hybrid formulation of the NSGA-IIa evolutionary algorithm and the response surface methodology in Matlab. The outcome of the analysis shows the ability of the optimization framework to efficiently reduce the total computational load of the problem. Furthermore, the viscosity model assumed seems to be able to re solve the temporal pressure distribution and the advancing flow front accurately, which can not be said of the spatial pressure distribution. Hence, it is recommended to improve the CFD model proposed in order to better capture the true behaviour of the mould flow. |
| Starting Page | 503 |
| Ending Page | 514 |
| Page Count | 12 |
| File Format | |
| ISSN | 01915665 |
| Journal | Mechanics of Composite Materials |
| Volume Number | 45 |
| Issue Number | 5 |
| e-ISSN | 15738922 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2009-11-24 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | thermo setting resin computational modeling compression moulding resin flow Structural Mechanics Mechanics Ceramics, Glass, Composites, Natural Methods Characterization and Evaluation of Materials |
| Content Type | Text |
| Resource Type | Article |
| Subject | Ceramics and Composites Mechanics of Materials Mathematics Biomaterials Condensed Matter Physics Polymers and Plastics |
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