FEM of Gas-Assisted Injection Molding Based on 3D Model
The gas-assisted injection molding (GAIM) process is so complicated that increasing reliance has been placed on CAE (Computer Aided Engineering) as a tool for both mold designers and process engineers. In this paper, a 3D theoretical model and numerical scheme is presented to simulate the GAIM proce...
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Series: | Advances in Polymer Technology |
Online Access: | http://dx.doi.org/10.1155/2020/5818606 |
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doaj-2bea5cdb5a0b42ef85057bf92fb7e0bc2020-11-25T02:04:42ZengHindawi-WileyAdvances in Polymer Technology0730-66791098-23292020-01-01202010.1155/2020/58186065818606FEM of Gas-Assisted Injection Molding Based on 3D ModelXinchao Wang0Tie Geng1Liqun Yan2Yonggang Guo3Lih-Sheng Turng4School of Mechatronic Engineering, and National Engineering Laboratory for Wheat & Corn Further Processing, HeNan University of Technology, Zhengzhou 450001, ChinaSchool of Mechatronic Engineering, and National Engineering Laboratory for Wheat & Corn Further Processing, HeNan University of Technology, Zhengzhou 450001, ChinaSchool of Mechatronic Engineering, and National Engineering Laboratory for Wheat & Corn Further Processing, HeNan University of Technology, Zhengzhou 450001, ChinaSchool of Mechatronic Engineering, and National Engineering Laboratory for Wheat & Corn Further Processing, HeNan University of Technology, Zhengzhou 450001, ChinaWisconsin Institute for Discovery, University of WI–Madison, Madison, WI, USAThe gas-assisted injection molding (GAIM) process is so complicated that increasing reliance has been placed on CAE (Computer Aided Engineering) as a tool for both mold designers and process engineers. In this paper, a 3D theoretical model and numerical scheme is presented to simulate the GAIM process, in which an equal-order velocity-pressure formulation method is employed to eliminate the pressure oscillation. In addition, the whole flow field including the gas and melt regions is calculated using a uniform momentum equation with the viscosity of gas raised to a certain order of magnitude, and a 3D control volume scheme is employed to track the flow front of the melt and gas. Finally, the validity of the model has been tested through case studies and experimental verification.http://dx.doi.org/10.1155/2020/5818606 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xinchao Wang Tie Geng Liqun Yan Yonggang Guo Lih-Sheng Turng |
spellingShingle |
Xinchao Wang Tie Geng Liqun Yan Yonggang Guo Lih-Sheng Turng FEM of Gas-Assisted Injection Molding Based on 3D Model Advances in Polymer Technology |
author_facet |
Xinchao Wang Tie Geng Liqun Yan Yonggang Guo Lih-Sheng Turng |
author_sort |
Xinchao Wang |
title |
FEM of Gas-Assisted Injection Molding Based on 3D Model |
title_short |
FEM of Gas-Assisted Injection Molding Based on 3D Model |
title_full |
FEM of Gas-Assisted Injection Molding Based on 3D Model |
title_fullStr |
FEM of Gas-Assisted Injection Molding Based on 3D Model |
title_full_unstemmed |
FEM of Gas-Assisted Injection Molding Based on 3D Model |
title_sort |
fem of gas-assisted injection molding based on 3d model |
publisher |
Hindawi-Wiley |
series |
Advances in Polymer Technology |
issn |
0730-6679 1098-2329 |
publishDate |
2020-01-01 |
description |
The gas-assisted injection molding (GAIM) process is so complicated that increasing reliance has been placed on CAE (Computer Aided Engineering) as a tool for both mold designers and process engineers. In this paper, a 3D theoretical model and numerical scheme is presented to simulate the GAIM process, in which an equal-order velocity-pressure formulation method is employed to eliminate the pressure oscillation. In addition, the whole flow field including the gas and melt regions is calculated using a uniform momentum equation with the viscosity of gas raised to a certain order of magnitude, and a 3D control volume scheme is employed to track the flow front of the melt and gas. Finally, the validity of the model has been tested through case studies and experimental verification. |
url |
http://dx.doi.org/10.1155/2020/5818606 |
work_keys_str_mv |
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1715580141686489088 |