Backpressure Optimization in Foam Injection Molding: Method and Assessment of Sustainability.

backpressure foam injection molding optimization polymer processing polypropylene sustainability

Journal

Polymers
ISSN: 2073-4360
Titre abrégé: Polymers (Basel)
Pays: Switzerland
ID NLM: 101545357

Informations de publication

Date de publication:
16 Nov 2020
Historique:
received: 27 10 2020
revised: 11 11 2020
accepted: 13 11 2020
entrez: 19 11 2020
pubmed: 20 11 2020
medline: 20 11 2020
Statut: epublish

Résumé

Inspired by the Industry 4.0 trend towards greater user-friendliness and self-optimization of machines, we present a novel approach to reducing backpressure in foam injection molding. Our method builds on the compressibility of polymer-gas mixtures to detect undissolved gas phases during processing at insufficient backpressures. Identification of a characteristic behavior of the bulk modulus upon transition from homogeneous to heterogeneous polymer-gas mixtures facilitated the determination of the minimum pressure required during production to be determined, as verified by ultrasound measurements. Optimization of the pressure conditions inside the barrel by means of our approach saves resources, making the process more sustainable. Our method yielded a 45% increase in plasticizing capacity, reduced the torque needed by 24%, and required 46% less plasticizing work and lower pressures in the gas supply chain. The components produced exhibited both improved mechanical bending properties and lower densities. From an economic point of view, the main advantages of optimized backpressures are reduced wear and lower energy consumption. The methodology presented in this study has considerable potential in terms of sustainable production and offers the prospect of fully autonomous process optimization.

Identifiants

pubmed: 33207672
pii: polym12112696
doi: 10.3390/polym12112696
pmc: PMC7698219
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Austrian Research and Promotion Agency
ID : 868615

Références

Science. 2017 Feb 24;355(6327):814-816
pubmed: 28232574
Sci Total Environ. 2018 Jul 1;628-629:979-989
pubmed: 30045586

Auteurs

Clemens Kastner (C)

Competence Center CHASE GmbH, Altenberger Strasse 69, A-4040 Linz, Austria.
Institute of Polymer Injection Molding and Process Automation, Johannes Kepler University Linz, Altenberger Strasse 69, A-4040 Linz, Austria.

Thomas Mitterlehner (T)

Institute of Polymer Injection Molding and Process Automation, Johannes Kepler University Linz, Altenberger Strasse 69, A-4040 Linz, Austria.

Dominik Altmann (D)

Institute of Polymer Injection Molding and Process Automation, Johannes Kepler University Linz, Altenberger Strasse 69, A-4040 Linz, Austria.
Kompetenzzentrum Holz GmbH (Wood K plus)-Biobased Composites and Processes, Altenberger Strasse 69, A-4040 Linz, Austria.

Georg Steinbichler (G)

Institute of Polymer Injection Molding and Process Automation, Johannes Kepler University Linz, Altenberger Strasse 69, A-4040 Linz, Austria.

Classifications MeSH