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Optimisation of location and dimension of SMC precharge in compression moulding process

Identifieur interne : 000D86 ( Main/Exploration ); précédent : 000D85; suivant : 000D87

Optimisation of location and dimension of SMC precharge in compression moulding process

Auteurs : Moo-Sun Kim [Corée du Sud, France] ; WOO IL LEE [Corée du Sud] ; Woo-Suck Han [France] ; Alain Vautrin [France]

Source :

Mots-clés :

Abstract

The main goal of the present study is to optimise the precharge conditions such as the precharge location and dimensions that give significant effects on the mechanical performance of composite structures manufactured by the compression moulding process. As preliminary step of optimisation, we developed a manufacturing simulation program to predict the fibre volume fraction and fibre orientation. And coupled with this simulation program and a structural analysis program, a genetic algorithm (GA) is implemented to optimise the precharge conditions. The penalty function method and the repair algorithm are modified for handling constraints. The repair algorithm is applied to a symmetric structure and an arbitrary shape structure to find optimal precharge conditions.


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Le document en format XML

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<term>Compression molding</term>
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<term>Geometrical shape</term>
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<div type="abstract" xml:lang="en">The main goal of the present study is to optimise the precharge conditions such as the precharge location and dimensions that give significant effects on the mechanical performance of composite structures manufactured by the compression moulding process. As preliminary step of optimisation, we developed a manufacturing simulation program to predict the fibre volume fraction and fibre orientation. And coupled with this simulation program and a structural analysis program, a genetic algorithm (GA) is implemented to optimise the precharge conditions. The penalty function method and the repair algorithm are modified for handling constraints. The repair algorithm is applied to a symmetric structure and an arbitrary shape structure to find optimal precharge conditions.</div>
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