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Injection Molding Process Data for Post-Consumer-Recycled Materials

; ;

Online
DOI: 10.18154/RWTH-2025-06809
URL: https://publications.rwth-aachen.de/record/1016199/files/ExperimentalData.zip

Einrichtungen

  1. Lehrstuhl und Institut für Regelungstechnik (416610)
  2. IKV - Institut für Kunststoffverarbeitung in Industrie und Handwerk e.V. (052100)


Inhaltliche Beschreibung (Schlagwörter)
Injection Molding (frei) ; Cavity-Pressure Control (frei) ; Part-Mass Control (frei) ; Experimental Data (frei)

Kurzfassung
The data set shown here contains recorded experimental data for the injection molding of a Post-Consumer-Recycled (PCR) material (Systalen PP-24000 gr000, supplied by Systec GmbH) and virgin material (PP579S, supplied by Sabic Deutschland GmbH) using a flat-plate geometry. The data set includes experiments controlled by a learning-based nonlinear model predictive controller and proportional controller for cavity-pressure control. Each measurement record includes the pressures in the screw antechamber and inside the cavity, the controller output, as well as the screw velocity, and the volume of the screw antechamber over time. Additionally, experiments using a part-mass controller are include within this dataset. For each iteration of this part-mass controller, the cavity-pressure reference, part mass and part-mass reference are given in this dataset. All experiments were conducted on an Arburg Allrounder 520 A 1500-800 injection molding machine at the Institute for Plastics Processing at RWTH Aachen University.

OpenAccess:
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Dokumenttyp
Dataset

Format
online

Sprache
English

Interne Identnummern
RWTH-2025-06809
Datensatz-ID: 1016199

Beteiligte Länder
Germany

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;  ;  ;  ;  ;
Part-mass control in injection molding of recycled thermoplastics by learning-enabled model predictive cavity-pressure control
Journal of process control 162, 103725 () [10.1016/j.jprocont.2026.103725]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS


Creative Commons Attribution CC BY 4.0 ; OpenAccess

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The record appears in these collections:
Dokumenttypen > Andere Dokumenttypen
Forschungsdaten > Datensätze
Der Hochschule angegliederte Institute und Vereinigungen
Fakultät für Maschinenwesen (Fak.4)
Publikationsserver / Open Access
Öffentliche Einträge
Publikationsdatenbank
416610
052100

 Datensatz erzeugt am 2025-08-12, letzte Änderung am 2026-04-16


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