Rubber Injection Molding with Quality Recognition

Thomas Hutterer; Gerald Berger-Weber; Kerschbaumer Roman Christopher; Walter Friesenbichler; Alexander Klutz; Thomas Leng; Karlheinz Mayr

Rubber Injection Molding with Quality Recognition

Thomas Hutterer, Gerald Berger-Weber, Kerschbaumer Roman Christopher, Walter Friesenbichler, Alexander Klutz, Thomas Leng, Karlheinz Mayr

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Begutachtung

Abstract

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.

Originalsprache	Englisch
Seiten (von - bis)	6 - 9
Seitenumfang	4
Fachzeitschrift	Kunststoffe <München> / Kunststoffe international
Jahrgang	2021
Ausgabenummer	4
Publikationsstatus	Veröffentlicht - Apr. 2021

Zugriff auf Dokument

https://en.kunststoffe.de/a/specialistarticle/rubber-injection-molding-with-quality-re-323719

Andere Dateien und Links

https://res.cloudinary.com/sternwald-systems/raw/upload/v1/hugoprd/ARTIKEL_ATTACH/00298EE6_070D8F011B65/1592997213b9b5364415b4c6c4d26ed00f65f4e3/Rubber%20Injection%20Molding%20with%20%20Quality%20Recognition%20-%20KUint%2004%202021.pdf

Dieses zitieren

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AU - Klutz, Alexander

AU - Leng, Thomas

AU - Mayr, Karlheinz

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