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Kunststoffe international 2018/06-07

Process Set-Up through Machine Learning

Purposefully Selected Injection Molding Parameters from Simulations and Practical Experiments

Process Set-Up through  Machine Learning

Machine learning methods have great potential in production – however, so far only a few concrete application examples exist. For the process set-up in injection molding, machine learning enables objective and specifically optimized parameter settings. Neural networks and a combination of simulations and practical experiments help to find suitable models for the parameter optimization as quickly as possible and independently of the experience of the operator.

Prof. Dr.-Ing. Christian Hopmann; Dr.-Ing. Matthias Theunissen; Jens Wipperfürth, M.Sc.,; Julian Heinisch, M.Sc.,

Beitrag auf Deutsch lesen
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Institut für Kunststoffverarbeitung IKV in Industrie und Handwerk an der RWTH Aachen

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International Polymer Processing

International Polymer Processing, the journal of the Polymer Processing Society, is a discussion forum for the world-wide community of engineers and scientists in the field of polymer processing.

The journal covers research and industrial application in the very specific areas of designing polymer products, processes, processing machinery and equipment.


International Polymer Processing


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