Int. J. Simul. Multidisci. Des. Optim.
Volume 8, 2017
|Number of page(s)||9|
|Published online||10 October 2017|
Implementation of a parametric procedure allowing efficient positioning of heat sources: application to high-temperature composites thermoforming process
LUNAM Université, IUT de Nantes, CNRS, GEPEA, UMR 6144,
2 avenue du Professeur Jean Rouxel,
Carquefou Cédex, France
2 LUNAM Université, ONIRIS, CNRS, GEPEA, UMR 6144, site de la Géraudière, 44322 Nantes, France
Accepted: 22 August 2017
This work describes the implementation of a simple procedure that helps to easily position the heating elements in press plates used in high-temperature composites thermoforming process. The developed method permits to obtain desired temperature profiles on the surface of the press plates through two main steps. The first step consists in finding out an appropriate parametric curve that defines the spatial location of the heating sources into the thickness of the press heating plates. The second step uses an inverse method that combines a stochastic optimization algorithm in conjunction with finite element simulations. This second step serves for the adjustment of the position curve parameters to obtain a simulated temperature profile as close as possible to the expected one at the press plates surface. This easy-to-implement approach is shown to be very effective to rapidly obtain a suitable location of the heat sources that minimizes energy consumption.
Key words: Press heating plates / Composite thermoforming / Finite element analysis / Parameter optimization / Efficient positioning
© M. Jebara et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.