Titre : |
Rubber injection molding with quality recognition : Automatic process monitoring with iQ clamp control and machine learning |
Type de document : |
texte imprimé |
Auteurs : |
Thomas Hutterer, Auteur ; Gerald R. Berger-Weber, Auteur ; Roman C. Kerschbaumer, Auteur ; Walter Friesenbichler, Auteur ; Alexander Klutz, Auteur ; Thomas Leng, Auteur ; Karlheinz Mayr, Auteur |
Année de publication : |
2021 |
Article en page(s) : |
p. 6-9 |
Langues : |
Anglais (eng) |
Catégories : |
Assurance qualité Caoutchouc Elastomères -- Moulage par injection
|
Index. décimale : |
668.4 Plastiques, vinyles |
Résumé : |
With the increasing digitalization of injection molding, new process parameters are coming under the spotlight. Engel, together with the Polymer Competence Center Leoben and Montan University Leoben, Austria, is using machine-learning methods to explore the potential of mold breathing for quality assurance in rubber injection molding. This research project was supported by the partner company SKF Sealing Solutions Austria. |
Note de contenu : |
- Trainings set as a basis for Subsequent inline error Identification
- Determining dynamic material behavior
- Correlation between mold breathing and cavity pressure
- Process monitoring with principal component analysis
- Fig. 1 : Mold breathing: The mold is compressed by the build-up of the clamping force. During filling, the resulting part generates an opening force, which is counteracted by the compression. The opening force is proportional to the cavity pressure and to the projected surface area
- Fig. 2 : The maximum mold temperature at the cycle end follows immediately after the setpoint values of the heating elements
- Fig. 3 : The tan(δ) values of the elastomer parts are strongly influenced by the mold temperature. SPE statistics allow changes in the process conditions potentially leading to rejects to be recognized
- Fig. 4 : Mold breathing responds with a delay compared to the cavity pressure, but then simultaneously reaches a pronounced peak. Maxima of mold breathing and cavity pressure are strongly positively correlated
- Table 1 : In preliminary tests, settings ensuring a stable manufacturing process were found for all process parameters. These parameters were held constant in all experiments |
En ligne : |
https://drive.google.com/file/d/1ByzLVJcNLyWQOSy5k_ghRzAgk3wVs-C-/view?usp=drive [...] |
Format de la ressource électronique : |
Pdf |
Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=35637 |
in KUNSTSTOFFE INTERNATIONAL > Vol. 111, N° 4 (2021) . - p. 6-9