| Titre : |
Comparison of numerical and experimental data in multi-objective optimization of a thermoplastic molded part |
| Type de document : |
texte imprimé |
| Année de publication : |
2013 |
| Article en page(s) : |
p. 84-99 |
| Note générale : |
Bibliogr. |
| Langues : |
Anglais (eng) |
| Catégories : |
Algorithmes génétiques
Analyse numérique
Conception assistée par ordinateur
Conception technique
Eléments finis, Méthode des
Gauchissement (matériaux)
Simulation par ordinateur
Surfaces de réponse (statistique)
Temps de cycle (production) -- Réduction
Thermoplastiques -- Moulage par injection
Tolérance (technologie)
|
| Index. décimale : |
668.4 Plastiques, vinyles |
| Résumé : |
Warpage reduction, dimensional tolerance accomplishment and time and cost saving are some of the most important problems in the injection molding production process. In this study, a real case of a thermoplastic injected part is analyzed. The mold for a pipeline connecting element has been designed, according to known technical and economical criterion to fulfill customer requirements. Particularly for this element, warpage of a specified surface and two diameter sizes are fundamental for correct part functionality and assembling. The analysis is centered on the effects of four process parameters, i. e. packing pressure, packing time, melt temperature and cooling time that heavily influence final results. A finite element model has been used to evaluate their effects on four important final objectives that are the geometrical entities and production cycle time. Each variable has been varied into its proper range, in accordance with a central composite design DoE plan; 25 simulations have been executed and results have been represented using response surfaces. Pareto Front for above listed objectives has been extracted using a genetic algorithm and the best set of parameters has been determined after application of specific selection criteria and a weighted objective function. After numerical evaluation, the CCD DoE plan has been experimentally repeated. Results have been measured on real components, and then represented with response surfaces as well. The same algorithm and objective function have been used for optimization, to determine the experimental optimum parameter set. Finally, the two parameter sets have been compared. |
| Note de contenu : |
- PART SHAPE AND REQUIREMENTS
- MOLD DESIGN AND MACHINE SPECIFICATIONS : Mold layout and functionality - Feeding and cooling systems - Machine specifications
- FE MODEL
- DoE DESIGN AND OBJECTIVES DEFINITIONS
- NUMERICAL AND EXPERIMENTAL DoE RESULTS
- RESPONSE SURFACE REPRESENTATION
- MULTI-OBJECTIVE OPTIMIZATION |
| DOI : |
10.3139/217.2699 |
| En ligne : |
https://drive.google.com/file/d/1hG9icwf4rsDjZvDYw68JYbnVuiCFwljD/view?usp=drive [...] |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=17776 |
in INTERNATIONAL POLYMER PROCESSING > Vol. XXVIII, N° 1 (03/2013) . - p. 84-99
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