Multi-objective optimization of an insulating product based on wood fibre material
| Autor: | Pierre Vignon, Mohamad Hobballah, Huyen Tran |
|---|---|
| Přispěvatelé: | Ecole Supérieure du Bois, LIMBHA, PRES Université Nantes Angers Le Mans (UNAM), Institut de Mécanique et d'Ingénierie de Bordeaux (I2M), École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Materials science [SDV]Life Sciences [q-bio] Context (language use) 02 engineering and technology Multi-objective optimization modelling 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering composite wood fibres insulation Mathematical model Probabilistic-based design optimization PSO Particle swarm optimization thermal insulating material isolant thermique fibre de bois Nonlinear system 020303 mechanical engineering & transports multi-objective optimization modèle d'optimisation Graph (abstract data type) 020201 artificial intelligence & image processing Engineering design process |
| Zdroj: | 19. International ESAFORM Conference on Material Forming 19. International ESAFORM Conference on Material Forming, Apr 2016, Nantes, France. ⟨10.1063/1.4963610⟩ AIP Conference Proceedings |
| Popis: | This article addresses the optimization of the quality of an insulating material that is based on wood fibres. In a context where several conflicting objectives must be satisfied simultaneously in the design process, meta-heuristic approaches provide efficient methods for optimization. Multi-objective particle swarm optimization (MOPSO) has been chosen here to solve this complex problem in which physical properties such as thermal conductivity and thickness recovery, that are conflicting, are modelled through heterogeneous variables and nonlinear mathematical models. This is an ongoing work; Influence graph and the first mathematical model are presented in this paper while the preliminary optimization results will be presented during the ESAFROM conference. |
| Databáze: | OpenAIRE |
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