2026-04-19T12:37:25Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/273122025-07-17T07:21:36Zcom_2072_1033col_2072_452950

00925njm 22002777a 4500 dc Abisset Chavanne, Emmanuelle author Cueto Prendes, Elias author Huerta, Antonio author Chinesta, Francisco author 2014 Proper Generalized Decomposition methods allow to obtain an efficient solution for multi-parametric problems without the need for simulating numerous problems to obtain a response surface. Instead, PGD obtains a priori a reduced solution in the form of a finite sum of separable functions, easy to store in memory so as to be evaluated under real-time constraints. The present work proposes to use this tool to optimize the main RTM process parameters, the injection flow rate and the injection/mould temperature, in order to ensure the complete filling of the mould and reasonable fabrication costs (fabrication time, mould heating). To do so, the two process parameters should be introduced in the model as new coordinates, and the Proper Generalized Decomposition method used to solve the multiparametric model then obtained. By using this procedure, we could build computational vademecums, having the two parameters of interest as coordinates, allowing the fabricant to define the best compromise between injection time and process cost (mould heating) while ensuring the complete filling of the mould. In this work, after revisiting some applications of PGD in RTM processes, the separability of parametric RTM solutions will be evaluated. Peer Reviewed Postprint (published version) Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica Numerical analysis--Simulation methods Leve sets Model order reduction Proper generalized decomposition Resin transfer moulding Anàlisi numèrica 65C Probabilistic methods, simulation and stochastic differential equations Computational vademecums for a fast and reliable simulation of RTM processes