| Titre : |
A special process that is becoming a sustainable normal case : New developments in thermoplastic foam injection molding |
| Type de document : |
texte imprimé |
| Auteurs : |
Clemens Kastner, Auteur ; Wolfgang Kienzl, Auteur ; Eva Kobler, Auteur ; Georg Steinbichler, Auteur |
| Année de publication : |
2021 |
| Article en page(s) : |
p. 34-37 |
| Langues : |
Anglais (eng) |
| Catégories : |
Intelligence artificielle
Mesure
Mousses plastiques -- Moulage par injection
Thermoplastiques -- Moulage par injection
|
| Index. décimale : |
668.4 Plastiques, vinyles |
| Résumé : |
Lightweight parts, energy-saving processing or the practice of combining several process steps into one can all be subsumed under one current buzzword: sustainability. A technology that is highly promising in this regard is thermoplastic foam injection molding. Although in use for decades, the process offers great potential thanks to continuous development work. |
| Note de contenu : |
- Minimized warpage, improved shape accuracy
- Exploiting potential with high-efficiency
- Own-developed plasticizing screw
- New method for determining the solubility limit
- A widespread misconception
- Foaming with artificial intelligence
- Figure : In physical foam injection molding, a blowing gas is injected into the polymer melt during plasticizing
- Fig. 1 : The geometry of the PFS improves the homogeneity of the gas-containing melt
- Fig. 2 : Result of the theoretical preparatory work: with increasing gas content in the polymer melt, there is a reduction in the bulk modulus of the mixture. A possible solubility limit cannot be described
- Fig. 3 : Example of a bulk modulus measurement: the deflection in the curve indicates that a solubility limit has been reached and ultrasound measurements during injection for verification
- Fig. 4 : Use of the bulk modulus method for backpressure reduction when using 0.6 % nitrogen : the decrease of bulk modulus when the backpressures are too low can be seen anjd ultrasound measurements during injection for verification
- Fig. 5 : Artificial intelligence is making inroads into foam injection molding: schematic view of the convolutional neural network and its output for parameter adjustment |
| En ligne : |
https://drive.google.com/file/d/1ckup_syz9vOlOQW_bkXXb5EO6MjrgEgG/view?usp=drive [...] |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=35496 |
in KUNSTSTOFFE INTERNATIONAL > Vol. 112, N° 2 (2021) . - p. 34-37
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