Abstract
In general, optimization implies definition of a cost function and a search for optimum process parameters (e.g the temperature of a heater, the temperature of a material approaching a die, flow rate, ... in the case of materials flowing into a heated die) defining the minimum of that cost function.
Keywords
- Cost Function
- Proper Generalized Decomposition (PGD)
- Pultrusion Process
- Mesh-based Discretization Techniques
- Latin Hypercube Technique
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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D. Gonzalez, A. Ammar, F. Chinesta, E. Cueto, Recent advances in the use of separated representations. Int. J. Numer. Meth. Eng 81(5), 637–659 (2010)
E. Pruliere, J. Ferec, F. Chinesta, A. Ammar, An efficient reduced simulation of residual stresses in composites forming processes. Int. J. Mater. Form. 3(2), 1339–1350 (2010)
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© 2014 Springer International Publishing Switzerland
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Chinesta, F., Cueto, E. (2014). A New Methodological Approach to Process Optimization. In: PGD-Based Modeling of Materials, Structures and Processes. ESAFORM Bookseries on Material Forming. Springer, Cham. https://doi.org/10.1007/978-3-319-06182-5_7
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DOI: https://doi.org/10.1007/978-3-319-06182-5_7
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-06182-5
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