Study on rheological properties of in-mold co-injection self-reinforced polymer melt

The injection molding filling process is a complicated non-steady-state, non-isothermal non-Newtonian fluid flow process and heat transfer process. With the development of polymer melt pressure, temperature, shear rate and other physical quantities during the mold filling process will affect the mel...

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Autores principales:	Yong Lu, Kaiyu Jiang, Minjie Wang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Visualization Cross-scale model Factorial analysis In-mold co-injection Rheological properties Polymers and polymer manufacture TP1080-1185
Acceso en línea:	https://doaj.org/article/422b03946ae74ebb862ec91463c728cc
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spelling	oai:doaj.org-article:422b03946ae74ebb862ec91463c728cc2021-11-24T04:24:05ZStudy on rheological properties of in-mold co-injection self-reinforced polymer melt0142-941810.1016/j.polymertesting.2020.106910https://doaj.org/article/422b03946ae74ebb862ec91463c728cc2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S0142941820321395https://doaj.org/toc/0142-9418The injection molding filling process is a complicated non-steady-state, non-isothermal non-Newtonian fluid flow process and heat transfer process. With the development of polymer melt pressure, temperature, shear rate and other physical quantities during the mold filling process will affect the melt rheological properties. This research combines the injection molding visualization device and analysis method to collect real-time online parameters of the co-injection self-reinforced parts in the mold under different molding conditions. The distribution and change data provide an effective means for better characterizing the rheological properties of the polymer in the mold and the theoretical analysis of the mold filling rheology. This article starts with the basic equations of viscous fluid mechanics, draws on the establishment of the mathematical model of the filling process of the conventional injection molding, corrects and resets the basic assumptions and boundary conditions, and establishes a flow that can reflect the melt flow at the slender scale. The basic equation of scale effect is made in the process, and it is substituted into the simulation software for simulation analysis. The results show that there is no deviation in the overall structure of the model, but the parameters in the model should be variable factors that change with the change of the melt molding parameters. Therefore, we made a second correction to the variable parameters of the in-mold co-injection self-reinforced cross-scale viscosity model. Although there is a certain difference (12.62%) between the viscosity results obtained after the simulation and the measured values, it is compared with the conventional model deviation value of the model (101.25%) has been better improved, which can better achieve the purpose of simulation prediction.Yong LuKaiyu JiangMinjie WangElsevierarticleVisualizationCross-scale modelFactorial analysisIn-mold co-injectionRheological propertiesPolymers and polymer manufactureTP1080-1185ENPolymer Testing, Vol 93, Iss , Pp 106910- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Visualization Cross-scale model Factorial analysis In-mold co-injection Rheological properties Polymers and polymer manufacture TP1080-1185
spellingShingle	Visualization Cross-scale model Factorial analysis In-mold co-injection Rheological properties Polymers and polymer manufacture TP1080-1185 Yong Lu Kaiyu Jiang Minjie Wang Study on rheological properties of in-mold co-injection self-reinforced polymer melt
description	The injection molding filling process is a complicated non-steady-state, non-isothermal non-Newtonian fluid flow process and heat transfer process. With the development of polymer melt pressure, temperature, shear rate and other physical quantities during the mold filling process will affect the melt rheological properties. This research combines the injection molding visualization device and analysis method to collect real-time online parameters of the co-injection self-reinforced parts in the mold under different molding conditions. The distribution and change data provide an effective means for better characterizing the rheological properties of the polymer in the mold and the theoretical analysis of the mold filling rheology. This article starts with the basic equations of viscous fluid mechanics, draws on the establishment of the mathematical model of the filling process of the conventional injection molding, corrects and resets the basic assumptions and boundary conditions, and establishes a flow that can reflect the melt flow at the slender scale. The basic equation of scale effect is made in the process, and it is substituted into the simulation software for simulation analysis. The results show that there is no deviation in the overall structure of the model, but the parameters in the model should be variable factors that change with the change of the melt molding parameters. Therefore, we made a second correction to the variable parameters of the in-mold co-injection self-reinforced cross-scale viscosity model. Although there is a certain difference (12.62%) between the viscosity results obtained after the simulation and the measured values, it is compared with the conventional model deviation value of the model (101.25%) has been better improved, which can better achieve the purpose of simulation prediction.
format	article
author	Yong Lu Kaiyu Jiang Minjie Wang
author_facet	Yong Lu Kaiyu Jiang Minjie Wang
author_sort	Yong Lu
title	Study on rheological properties of in-mold co-injection self-reinforced polymer melt
title_short	Study on rheological properties of in-mold co-injection self-reinforced polymer melt
title_full	Study on rheological properties of in-mold co-injection self-reinforced polymer melt
title_fullStr	Study on rheological properties of in-mold co-injection self-reinforced polymer melt
title_full_unstemmed	Study on rheological properties of in-mold co-injection self-reinforced polymer melt
title_sort	study on rheological properties of in-mold co-injection self-reinforced polymer melt
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/422b03946ae74ebb862ec91463c728cc
work_keys_str_mv	AT yonglu studyonrheologicalpropertiesofinmoldcoinjectionselfreinforcedpolymermelt AT kaiyujiang studyonrheologicalpropertiesofinmoldcoinjectionselfreinforcedpolymermelt AT minjiewang studyonrheologicalpropertiesofinmoldcoinjectionselfreinforcedpolymermelt
_version_	1718416029775822848

Study on rheological properties of in-mold co-injection self-reinforced polymer melt

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