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Kunststoffe international 2020/10

Correctly Predicting Creep

Tips and Hints on the Campus Material Database

Correctly Predicting Creep

Literature

1 García, S.; Ramírez-Gallego, S.; Luengo, J.; Benítez, J. M.; Herrera, F.: Big data preprocessing: methods and prospects. Big Data Analytics 1 (2016) 1
2 Amin, R.; Arefin, T.: The Empirical Study on the Factors Affecting Data Warehousing Success. International Journal of Latest Trends in Computing 1 (2010) 2, pp. 138–142
3 DIN Deutsches Institut für Normung e. V.: Reference Architecture Model Industrie 4.0 (RAMI 4.0). Beuth Verlag GmbH, Berlin 2016
4 Schmitz, M.; Hopmann, C.; Röbig, M.; Pelzer, L.; Topmöller, B.; Wurzbacher, S.: Beyond Human Capabilities. Kunststoffe International 109 (2019) 9, pp. 89–93
5 Hopmann, C.; Bibow, P.; Kosthorst, T.; Lockner, Y.: Process-setup in injection moulding by Human-Machine-Interfaces and AI. In: Hopmann, C. (Ed.): 30th International Colloquium Plastics Technology. Aachen 2020, pp. 157–196

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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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