Establishing a rapid cooling complex mold design for the quality improvement of microcellular injection molding

2020 ◽  
Vol 60 (12) ◽  
pp. 3072-3085 ◽  
Author(s):  
Yung‐Hsiang Chang ◽  
Min‐Chi Chiu ◽  
Shia‐Chung Chen ◽  
Che‐Wei Chang ◽  
Chia‐Yen Tseng
2005 ◽  
Vol 20 (2) ◽  
pp. 202-214 ◽  
Author(s):  
S. Gong ◽  
M. Yuan ◽  
A. Chandra ◽  
H. Kharbas ◽  
A. Osorio ◽  
...  

2012 ◽  
Vol 501 ◽  
pp. 294-299 ◽  
Author(s):  
Zhi Bian ◽  
Peng Cheng Xie ◽  
Yu Mei Ding ◽  
Wei Min Yang

This study was aimed at understanding how the process conditions affected the dimensional stability of glass fiber reinforced PP by microcellular injection molding. A design of experiments (DOE) was performed and plane test specimens were produced for the shrinkage and warpage analysis. Injection molding trials were performed by systematically adjusting six process parameters (i.e., Injection speed, Injection pressure, Shot temperature, SCF level, Mold temperature, and Cooling time). By analyzing the statistically significant main and two-factor interaction effects, the results showed that the supercritical fluid (SCF) level and the injection speed affected the shrinkage and warpage of microcellular injection molded parts the most.


Author(s):  
Seongjoon Kwak ◽  
Kunwoo Lee

Abstract Injection molding is the most prevalent technology used for processing thermoplastic polymers. At the end of the injection molding cycle, the plastic molded part should be ejected when the injection mold opens. Complex moldings with bosses, ribs, or other features are generally ejected by ejector pins because they are economical and easy to be installed. However, the ejector pins can cause high local stresses and strains in the molding at the stage of ejection leading to the part deformation and damage. This paper proposes a method to determine the layout and size of the ejector pins required to eject thermoplastic moldings with minimizing the part deformation and damage. The proposed method calculates the distribution of the necessary ejecting forces to overcome the friction between the part and its mold. Then, it transforms the ejecting forces into a certain number of representative forces by the wavelet transform. Finally, we can get the location and size of the ejector pins corresponding to the discrete ejecting forces with the help of a rule-based system. The proposed method helps an injection mold designer to systematically obtain an optimum ejector design.


2020 ◽  
Vol 195 ◽  
pp. 109051 ◽  
Author(s):  
Jinchuan Zhao ◽  
Yongna Qiao ◽  
Guilong Wang ◽  
Chongda Wang ◽  
Chul B. Park

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