Analysis of injection molding parameters for graphene/polypropylene composite material with thermal conductivity as quality objective

Author(s):  
Ching-Been Yang ◽  
Wei-Chang Peng ◽  
Yan-Wen Huang ◽  
Hsiu-Lu Chiang
Polymers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1224
Author(s):  
Chil-Chyuan Kuo ◽  
Wei-Hua Chen

Silicone rubber mold (SRM) is capable of reducing the cost and time in a new product development phase and has many applications for the pilot runs. Unfortunately, the SRM after injection molding has a poor cooling efficiency due to its low thermal conductivity. To improve the cooling efficiency, the thermal conductivity of the SRM was improved by adding fillers into the SRM. An optimal recipe for fabricating a high cooling efficiency low-pressure injection mold with conformal cooling channel fabricated by fused deposition modeling technology was proposed and implemented. This study proposes a recipe combining 52.6 wt.% aluminum powder, 5.3 wt.% graphite powder, and 42.1 wt.% liquid silicon rubber can be used to make SRM with excellent cooling efficiency. The price–performance ratio of this SRM made by the proposed recipe is around 55. The thermal conductivity of the SRM made by the proposed recipe can be increased by up to 77.6% compared with convention SRM. In addition, the actual cooling time of the injection molded product can be shortened up to 69.1% compared with the conventional SRM. The actual cooling time obtained by the experiment is in good agreement with the simulation results with the relative error rate about 20%.


2014 ◽  
Vol 918 ◽  
pp. 21-26
Author(s):  
Chen Kang Huang ◽  
Yun Ching Leong

In this study, the transport theorem of phonons and electrons is utilized to create a model to predict the thermal conductivity of composite materials. By observing or assuming the dopant displacement in the matrix, a physical model between dopant and matrix can be built, and the composite material can be divided into several regions. In each region, the phonon or electron scattering caused by boundaries, impurities, or U-processes was taken into account to calculate the thermal conductivity. The model is then used to predict the composite thermal conductivity for several composite materials. It shows a pretty good agreement with previous studies in literatures. Based on the model, some discussions about dopant size and volume fraction are also made.


2009 ◽  
Vol 58 (7) ◽  
pp. 4536
Author(s):  
Wang Jian-Li ◽  
Xiong Guo-Ping ◽  
Gu Ming ◽  
Zhang Xing ◽  
Liang Ji

2018 ◽  
Vol 32 (9) ◽  
pp. 1190-1203 ◽  
Author(s):  
Xuping Yang ◽  
Wenbin Yang ◽  
Jinghui Fan ◽  
Juying Wu ◽  
Kai Zhang

Thermally conductive and electrically insulating polyamide 6 (PA6) matrix quaternary composites were prepared by hot press molding and injection molding, respectively. The quaternary composites were composed of zero-dimensional aluminum oxide particle, one-dimensional silicon carbide whisker, two-dimensional flake graphite, and PA6 resin matrix. Morphology, structure, density, thermal conductivity, volume electrical resistivity, and tensile strength of two types of composites were characterized by scanning electron microscopy, X-ray diffractometer, thermal conductivity tester, high resistance micro-current tester, and tensile tester. The results showed that crystallinity, thermal conductivity, density, and tensile strength of hot press molding samples were superior to those of samples made by injection molding method. This is due to that hot press molding method can provide higher molding pressure and longer annealing time than injection molding. The mechanism could be explained that the performances of the composites were promoted by increasing molding pressure and annealing time.


2018 ◽  
Vol 165 (7) ◽  
pp. F514-F525 ◽  
Author(s):  
R. Bock ◽  
A. D. Shum ◽  
X. Xiao ◽  
H. Karoliussen ◽  
F. Seland ◽  
...  

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