Optimization of Process Parameters for Vertical-Faced Polypropylene Bottle Injection Molding

被引:6
|
作者
Wang, Youmin [1 ]
Yan, Zhichao [1 ]
Shan, Xuejun [1 ]
机构
[1] Anhui Polytech Univ, Sch Mech & Automot Engn, Wuhu, Peoples R China
关键词
Multiobjective optimization - Molds - Quality control - Injection molding - Polypropylenes;
D O I
10.1155/2018/2635084
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to obtain the optimal combination of process parameters for vertical-faced polypropylene bottle injection molding, with UG, the model of the bottle was drawn, and then, one module and sixteen-cavity injection molding system was established and analyzed using Moldflow. For filling and maintaining pressure during the process of infusion bottle injection molding, the orthogonal test table L25 (5(6)) using CAE was designed for injection molding of the bottle, with six parameters such as melt temperature, mold temperature, injection pressure, injection time, dwell pressure, and dwell time as orthogonal test factors. By finding the best combination of process parameters, the orthogonal experiment was completed, the results were analyzed by range analysis, and the order of influence of each process parameter on each direction of optimization was obtained.) e prediction dates of the infusion bottle were gained under various parameters, a comprehensive quality evaluation index of the bottle was formulated, and the multiobjective optimization problem of injection molding process was transformed into a single-objective optimization problem by the integrated weighted score method.) e bottle parameters were optimized by analyzing the range date of the weighted scoring method, and the best parameter combination such as melt temperature 200 degrees C, mold temperature 80 degrees C, injection pressure 40 MPa, injection time 2.1 S, dwell pressure 40 MPa, and dwell time 40 S was gained.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] Study on simulation of injection process and optimization of process parameters of polypropylene bottle embryo
    Wu P.
    Wang Y.M.
    Shan X.J.
    Key Engineering Materials, 2020, 852 : 11 - 20
  • [2] Application of Optimization Algorithms in Injection Molding Process Parameters Optimization
    Hu, Zehao
    Wei, Wei
    Liu, Juan
    Liu, Kun
    PHYSICAL AND NUMERICAL SIMULATION OF MATERIAL PROCESSING VI, PTS 1 AND 2, 2012, 704-705 : 183 - 190
  • [3] Warpage optimization of the GFRP injection molding process parameters
    Liu, Xin
    Fan, Xiying
    Guo, Yonghuan
    Man, Bing
    Li, Lulu
    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
    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
    Fan, Xiying (fxy8441@163.com), 1600, Springer Science and Business Media Deutschland GmbH (27): : 4337 - 4346
  • [6] Application of Optimization Algorithms in Injection Molding Process Parameters
    Hu, Zehao
    Wei, Wei
    Liu, Juan
    Liu, Kun
    ADVANCED DESIGN TECHNOLOGY, PTS 1-3, 2011, 308-310 : 3 - 8
  • [7] Optimization of Plastic Injection Molding Process Parameters for Thin-Wall Plastics Injection Molding
    Jin, J.
    Yu, H. Y.
    Lv, S.
    ULTRA-PRECISION MACHINING TECHNOLOGIES, 2009, 69-70 : 525 - 529
  • [8] Analysis of Volumetric Shrinkage and Optimization of Process Parameters in Injection Molding
    Chen, Jiping
    Ding, Zhiping
    ADVANCED MATERIALS AND PROCESS TECHNOLOGY, PTS 1-3, 2012, 217-219 : 2065 - 2069
  • [9] Optimization of Tungsten Cemented Carbide Injection Molding Process Parameters
    Baojun, Zhu
    Xuanhui, Qu
    Ying, Tao
    Pingan, Xiao
    Mingli, Qin
    Xiyou Jinshu Cailiao Yu Gongcheng/Rare Metal Materials and Engineering, 2002, 31 (03):
  • [10] Optimization of process parameters for injection molding based on Taguchi technique
    Fu, Shijun
    MATERIALS PROCESSING TECHNOLOGY II, PTS 1-4, 2012, 538-541 : 1170 - 1174