Rubber Injection Molding with Quality Recognition

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

    Research output: Contribution to journalArticleResearchpeer-review


    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.
    Original languageEnglish
    Pages (from-to)6 - 9
    Number of pages4
    JournalKunststoffe <München> / Kunststoffe international
    Issue number4
    Publication statusPublished - Apr 2021

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