New approach for the dimensional control of plastic gears manufactured by injection molding in the automotive industry

被引:3
|
作者
Gonzalez Bobadilla, Lucia [1 ]
Rojas Garcia, Jose Manuel [2 ]
Macedo Garduno, Ricardo [3 ]
机构
[1] CIATEQ AC, Master Program Adv Mfg, Queretaro, Mexico
[2] CIATEQ AC, Circuito Ind Poniente Lote 11 Mza 3 11, Lerma De Villada 52004, Mexico
[3] F Morat Sistemas Mexico, Lerma De Villada, Mexico
关键词
D O I
10.1557/s43580-021-00176-0
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The injection molding process to produce a plastic gear for automotive application has been primarily empirical leading to poor manufacturing practices, a high level of energy waste, and product reprocessing resulting in a negative environmental impact. In this study, we used Taguchi method to solve these issues for improving dimension stability of the plastic gear, considering the five most critical control factors: three mold temperatures (core zone, injection side, and ejection side), packing pressure, and cooling cycle time. Also, an additional parameter was used to elucidate the effect of using recycled resin in the polyoxymethylene (POM) formulation. Melt flow index (MFI) was selected as the noise factor because of the variability in the used composition of virgin POM/recycled POM that could be correlated to the molecular structure and molecular weight of both virgin and recycled POM resins. Results showed that the packing pressure and the mold temperatures are the main parameters to well control the dimensions required in the analyzed plastic gear, it means, the external diameter, empty setDA, hub diameter or position where the gear shaft is fixed, empty setD, and the length, L, of the gear from one end to the other are in the required dimensions of the plastic gear when a blend of virgin and recycled POM resins is used with no effect on mechanical properties of the gear.
引用
收藏
页码:969 / 974
页数:6
相关论文
共 50 条
  • [31] Three-dimensional numerical simulation for plastic injection-compression molding
    Zhang, Yun
    Yu, Wenjie
    Liang, Junjie
    Lang, Jianlin
    Li, Dequn
    FRONTIERS OF MECHANICAL ENGINEERING, 2018, 13 (01) : 74 - 84
  • [32] Millimeter-wave slotted waveguide array antenna manufactured by metal injection molding for automotive radar systems
    Sakakibara, K
    Watanabe, T
    Sato, K
    Nishikawa, K
    Seo, K
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2001, E84B (09) : 2369 - 2376
  • [33] Ram velocity control in plastic injection molding machines with neural network learning control
    Ouyang, GX
    Li, XL
    Guan, XP
    Zhang, ZQ
    Zhang, XL
    Du, RX
    ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2, 2004, 3174 : 169 - 174
  • [34] A comparison of several neural networks to predict the execution times in injection molding production for automotive industry
    Fernandez-Delgado, M.
    Reboreda, M.
    Cernadas, E.
    Barro, S.
    NEURAL COMPUTING & APPLICATIONS, 2010, 19 (05): : 741 - 754
  • [35] A comparison of several neural networks to predict the execution times in injection molding production for automotive industry
    M. Fernández-Delgado
    M. Reboreda
    E. Cernadas
    S. Barro
    Neural Computing and Applications, 2010, 19 : 741 - 754
  • [36] Optimization of Injection Molding of Automotive Plastic Horn Cover Part Using Taguchi Method and Reverse Engineering
    Lee, Yongsun
    Cho, Jinrae
    Han, Seongryeol
    MATERIALE PLASTICE, 2021, 58 (04) : 114 - 129
  • [37] An effective approach for process parameter optimization in injection molding of plastic housing components
    Deng, Wei-Jaw
    Chen, Chen-Tai
    Sun, Chin-Huang
    Chen, Wen-Chin
    Chen, Ching-Piao
    POLYMER-PLASTICS TECHNOLOGY AND ENGINEERING, 2008, 47 (09) : 910 - 919
  • [38] Neural-fuzzy modeling of plastic injection molding machine for intelligent control
    Lau, HCW
    Wong, TT
    Pun, KF
    EXPERT SYSTEMS WITH APPLICATIONS, 1999, 17 (01) : 33 - 43
  • [39] Multivariable self-tuning temperature control for plastic injection molding process
    Tsai, CC
    Lu, CH
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1998, 34 (02) : 310 - 318
  • [40] To apply fuzzy theory in the control of weld line of plastic injection-molding
    Chen, MY
    Chen, YC
    Chen, SC
    2004 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2004, : 1137 - 1142