In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer melts
During processing and bubble growth processes, the melt viscosity changes with temperature, pressure, and blowing agent concentration. Therefore, measurement and prediction methods for viscosity characterization in terms of temperature, pressure, and blowing agent dependency are needed. This study d...
Main Authors: | , |
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Format: | Article |
Language: | English |
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De Gruyter
2022-08-01
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Series: | Applied Rheology |
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Online Access: | https://doi.org/10.1515/arh-2022-0123 |
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author | Schaible Tobias Bonten Christian |
author_facet | Schaible Tobias Bonten Christian |
author_sort | Schaible Tobias |
collection | DOAJ |
description | During processing and bubble growth processes, the melt viscosity changes with temperature, pressure, and blowing agent concentration. Therefore, measurement and prediction methods for viscosity characterization in terms of temperature, pressure, and blowing agent dependency are needed. This study demonstrates the applicability of in-line viscosity measurements during the foam injection molding process and a model for viscosity superposition and prediction. In the present study, polystyrene and a modified polylactide for foaming applications with nitrogen as blowing agent are investigated. By changing the injection speed, temperature, and blowing agent concentration, the process conditions are varied, and thus the resulting pressure drops within the in-line measurement die. The calculated shear rates and viscosities are shifted to a master curve by the application of superposition principles. The viscosity dependency on temperature is described by the Arrhenius equation, the pressure by the Barus equation, and for the blowing agent concentration, a novel Barus-like equation was derived and applied. The prediction of the master curve viscosity function was achieved by the power-law model in combination with the superposition principles and showed good agreement with the shifted in-line data. Finally, the in-line measurements and viscosity predictions are validated by comparing them to rotational and capillary rheometer measurements. |
first_indexed | 2024-04-11T10:43:40Z |
format | Article |
id | doaj.art-aee8d032ee8541d38efdaba72b7d963e |
institution | Directory Open Access Journal |
issn | 1617-8106 |
language | English |
last_indexed | 2024-04-11T10:43:40Z |
publishDate | 2022-08-01 |
publisher | De Gruyter |
record_format | Article |
series | Applied Rheology |
spelling | doaj.art-aee8d032ee8541d38efdaba72b7d963e2022-12-22T04:29:08ZengDe GruyterApplied Rheology1617-81062022-08-01321698210.1515/arh-2022-0123In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer meltsSchaible Tobias0Bonten Christian1Institut für Kunststofftechnik, University of Stuttgart, Pfaffenwaldring 32, 70569 Stuttgart, GermanyInstitut für Kunststofftechnik, University of Stuttgart, Pfaffenwaldring 32, 70569 Stuttgart, GermanyDuring processing and bubble growth processes, the melt viscosity changes with temperature, pressure, and blowing agent concentration. Therefore, measurement and prediction methods for viscosity characterization in terms of temperature, pressure, and blowing agent dependency are needed. This study demonstrates the applicability of in-line viscosity measurements during the foam injection molding process and a model for viscosity superposition and prediction. In the present study, polystyrene and a modified polylactide for foaming applications with nitrogen as blowing agent are investigated. By changing the injection speed, temperature, and blowing agent concentration, the process conditions are varied, and thus the resulting pressure drops within the in-line measurement die. The calculated shear rates and viscosities are shifted to a master curve by the application of superposition principles. The viscosity dependency on temperature is described by the Arrhenius equation, the pressure by the Barus equation, and for the blowing agent concentration, a novel Barus-like equation was derived and applied. The prediction of the master curve viscosity function was achieved by the power-law model in combination with the superposition principles and showed good agreement with the shifted in-line data. Finally, the in-line measurements and viscosity predictions are validated by comparing them to rotational and capillary rheometer measurements.https://doi.org/10.1515/arh-2022-0123in-line viscosity measurementfoam injection moldingmaster curvesuperposition principlesrheology |
spellingShingle | Schaible Tobias Bonten Christian In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer melts Applied Rheology in-line viscosity measurement foam injection molding master curve superposition principles rheology |
title | In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer melts |
title_full | In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer melts |
title_fullStr | In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer melts |
title_full_unstemmed | In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer melts |
title_short | In-line measurement and modeling of temperature, pressure, and blowing agent dependent viscosity of polymer melts |
title_sort | in line measurement and modeling of temperature pressure and blowing agent dependent viscosity of polymer melts |
topic | in-line viscosity measurement foam injection molding master curve superposition principles rheology |
url | https://doi.org/10.1515/arh-2022-0123 |
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