Analysis of the Machine-Specific Behavior of Injection Molding Machines
| dc.date.accessioned | 2024-03-06T07:42:16Z | |
| dc.date.available | 2024-03-06T07:42:16Z | |
| dc.date.issued | 2023-12-22 | |
| dc.description.sponsorship | Gefördert durch den Publikationsfonds der Universität Kassel | ger |
| dc.identifier | doi:10.17170/kobra-202403069726 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/15533 | |
| dc.language.iso | eng | |
| dc.relation.doi | doi:10.3390/polym16010054 | |
| dc.rights | Namensnennung 4.0 International | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject | injection molding | eng |
| dc.subject | machine-specific behavior | eng |
| dc.subject | process analysis | eng |
| dc.subject | machine fingerprint | eng |
| dc.subject.ddc | 620 | |
| dc.subject.ddc | 660 | |
| dc.subject.swd | Spritzgießen | ger |
| dc.subject.swd | Mechanische Eigenschaft | ger |
| dc.subject.swd | Spritzgießmaschine | ger |
| dc.subject.swd | Prozessanalyse <Prozessmanagement> | ger |
| dc.title | Analysis of the Machine-Specific Behavior of Injection Molding Machines | eng |
| dc.type | Aufsatz | |
| dc.type.version | publishedVersion | |
| dcterms.abstract | The performance of an injection molding machine (IMM) influences the process and the quality of the parts manufactured. Despite increasing data collection capabilities, their machine-specific behavior has not been extensively studied. To close corresponding research gaps, the machine-specific behavior of two hydraulic IMMs of different sizes and one electric IMM were compared with each other as part of the investigations. Both the start-up behavior from the cold state and the behavior of the machine at different operating points were considered. To complement this, the influence of various material properties on the machine-specific behavior was investigated by processing an unreinforced and glass-fiber-reinforced polyamide. The results obtained provide crucial insights into machine-specific behavior, which may, for instance, account for disparities between computer fluid dynamic (CFD) simulations and experimental results. Furthermore, it is expected that the description of the machine-specific behavior can contribute to transfer knowledge when applying transfer learning algorithms. Looking ahead to future research, it is advised to create what is referred to as a “machine fingerprint”, and this proposal is accompanied by some preliminary recommendations for its development. | eng |
| dcterms.accessRights | open access | |
| dcterms.creator | Knoll, Julia | |
| dcterms.creator | Heim, Hans-Peter | |
| dcterms.source.articlenumber | 54 | |
| dcterms.source.identifier | eissn:2073-4360 | |
| dcterms.source.issue | Issue 1 | |
| dcterms.source.journal | Polymers | eng |
| dcterms.source.volume | Volume 16 | |
| kup.iskup | false |