Improvement on the surface quality of microcellular injection molded parts using microcellular co-injection molding with the material combinations of PP and PP-GF

2017 ◽  
Vol 21 (2) ◽  
pp. 239-251 ◽  
Author(s):  
Edward Suhartono ◽  
Shia-Chung Chen ◽  
Yung-Hsiang Chang ◽  
Jen-An Chang ◽  
Kuan Hua Lee
2011 ◽  
Vol 291-294 ◽  
pp. 610-613
Author(s):  
Hong Lin Li ◽  
Zhi Xin Jia

With the improvement of accuracy requirements for industrial products, the precise injection molding is replacing the traditional injection molding quickly and widely. Many factors influence the quality of injection-molded parts greatly, such as the property of the plastics, mold structure and the manufacturing accuracy, injecting machine and the injecting process parameters. In this paper, the work is emphasized for the influence of mold structure on the quality of injection-molded parts. Eight portions of injection mold are analyzed, including the cavities and cores, the guide components, the runner system, the ejection system, the side-core pulling mechanism, the temperature balance system, the venting system and the supporting parts. The structural characteristics of the above eight portions are presented.


2016 ◽  
Author(s):  
Carla Lima ◽  
Filipe Andrade ◽  
Cristina Kawakami ◽  
Cristiane Gonçalves ◽  
Walmir Peraro

2011 ◽  
Vol 26 (4) ◽  
pp. 429-436
Author(s):  
J. Lee ◽  
L.-S. Turng ◽  
J. Peng ◽  
E. Dougherty ◽  
P. Gorton

2013 ◽  
Vol 753-755 ◽  
pp. 1180-1183 ◽  
Author(s):  
Na Li ◽  
Hong Bin Liu ◽  
Hai Tao Wu

The deformation seriously affects the quality of the products, which is one of the common defects of plastic parts in the injection molding. Factorial design and CAE technology was used to study the product's warping rate influence in this paper. The minimum warping rate was obtained through the Minitab software and the optimized process parameters are verified with the Moldflow software. Experimental results show that the optimization design is effective and the warpage of the product is reduced.


2016 ◽  
Vol 16 (2) ◽  
pp. 334-338 ◽  
Author(s):  
Jiří Čop ◽  
Ladislav Fojtl ◽  
Ondřej Bílek ◽  
Vladimír Pata

2014 ◽  
Vol 998-999 ◽  
pp. 534-537 ◽  
Author(s):  
Chun Neng Wang ◽  
Xi Ying Fan

Injection molding is a very complex multi-factor coupling effect and a nonlinear dynamic process. Therefore, under the influence of nonlinear and multi-factor, injection molding goal is to effectively predict and guarantee the quality of injection molded parts. In this paper, the common methods used to predict the quality of injection molded parts are introduced, including: Taguchi method, artificial neural network, response surface method, radial basis function method and Kriging model method. Research progresses as well as application examples of forecasting methods at home and abroad is summarized. Besides, the development trend of the injection molding quality prediction is discussed.


Polymer ◽  
2011 ◽  
Vol 52 (6) ◽  
pp. 1436-1446 ◽  
Author(s):  
Jungjoo Lee ◽  
Lih-Sheng Turng ◽  
Eugene Dougherty ◽  
Patrick Gorton

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