Recent progress in minimizing the warpage and shrinkage deformations by the optimization of process parameters in plastic injection molding: a review

被引:0
|
作者
Nan-yang Zhao
Jiao-yuan Lian
Peng-fei Wang
Zhong-bin Xu
机构
[1] Zhejiang University,College of Energy Engineering
[2] Zhejiang University City College,School of Engineering
[3] Zhejiang University,Ningbo Research Institute, and Institute of Robotics
关键词
Injection molding; Process parameters; Optimization methods; Warpage; Shrinkage;
D O I
暂无
中图分类号
学科分类号
摘要
The quality control of plastic products is an essential aspect of the plastic injection molding (PIM) process. However, the warpage and shrinkage deformations continue to exist because the PIM process is easily interfered with by several related or independent process parameters. Thus, great efforts have been devoted to optimizing process parameters to minimize the warpage and shrinkage deformations of products during the last decades. In this review, we begin by introducing the manufacturing process in PIM and the cause of warpage and shrinkage deformations, followed by the mechanism about how process parameters, like mold temperature, melt temperature, injection rate, injection pressure, holding pressure, holding and cooling duration, affect those defects. Then, we summarize the recent progress of the design of experiments and four advanced methods (artificial neural networks, genetic algorithm, response surface methodology, and Kriging model) on optimizing process parameters to minimize the warpage and shrinkage deformations. In the end, future perspectives of quality control in injection molding machines are discussed.
引用
收藏
页码:85 / 101
页数:16
相关论文
共 50 条
  • [1] Recent progress in minimizing the warpage and shrinkage deformations by the optimization of process parameters in plastic injection molding: a review
    Zhao, Nan-yang
    Lian, Jiao-yuan
    Wang, Peng-fei
    Xu, Zhong-bin
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2022, 120 (1-2): : 85 - 101
  • [2] Review on the Effects of Process Parameters on Strength, Shrinkage, and Warpage of Injection Molding Plastic Component
    Mohan, Manoraj
    Ansari, M. N. M.
    Shanks, Robert A.
    [J]. POLYMER-PLASTICS TECHNOLOGY AND ENGINEERING, 2017, 56 (01) : 1 - 12
  • [3] Warpage optimization of the GFRP injection molding process parameters
    Liu, Xin
    Fan, Xiying
    Guo, Yonghuan
    Man, Bing
    Li, Lulu
    [J]. MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2021, 27 (12): : 4337 - 4346
  • [4] Warpage optimization of the GFRP injection molding process parameters
    Xin Liu
    Xiying Fan
    Yonghuan Guo
    Bing Man
    Lulu Li
    [J]. Microsystem Technologies, 2021, 27 : 4337 - 4346
  • [5] Warpage optimization of the GFRP injection molding process parameters
    Liu, Xin
    Fan, Xiying
    Guo, Yonghuan
    Man, Bing
    Li, Lulu
    [J]. Fan, Xiying (fxy8441@163.com), 1600, Springer Science and Business Media Deutschland GmbH (27): : 4337 - 4346
  • [6] Simulation-Based Optimization of Injection Molding Process Parameters for Minimizing Warpage by ANN and GA
    Nitnara, Chiwapon
    Tragangoon, Kumpon
    [J]. INTERNATIONAL JOURNAL OF TECHNOLOGY, 2023, 14 (02) : 422 - 433
  • [7] Multi-objective optimization of variable packing pressure profile and process parameters in plastic injection molding for minimizing warpage and cycle time
    Satoshi Kitayama
    Masaki Yokoyama
    Masahiro Takano
    Shuji Aiba
    [J]. The International Journal of Advanced Manufacturing Technology, 2017, 92 : 3991 - 3999
  • [8] Multi-objective optimization of variable packing pressure profile and process parameters in plastic injection molding for minimizing warpage and cycle time
    Kitayama, Satoshi
    Yokoyama, Masaki
    Takano, Masahiro
    Aiba, Shuji
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2017, 92 (9-12): : 3991 - 3999
  • [10] Optimization of process parameters in plastic injection molding for minimizing the volumetric shrinkage and warpage using radial basis function (RBF) coupled with the k-fold cross validation technique
    Heidari, Behzad Shiroud
    Moghaddam, Amin Hedayati
    Davachi, Seyed Mohammad
    Khamani, Shadi
    Alihosseini, Afshar
    [J]. JOURNAL OF POLYMER ENGINEERING, 2019, 39 (05) : 481 - 492