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作者:

Chu, Hongyan (Chu, Hongyan.) | Liu, Zhijian (Liu, Zhijian.) | Zhang, Caixia (Zhang, Caixia.) | Liu, Zhifeng (Liu, Zhifeng.) | Zhao, Yongsheng (Zhao, Yongsheng.) | Yang, Congbin (Yang, Congbin.)

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EI Scopus SCIE

摘要:

For the flat plastic parts with the size range of 200 to 1300 mm, the structural parameters decision model of injection mold gating system is established in this paper. Firstly, the relationship between the warpage and the structural parameters of gating system is fitted by Kriging model, and the minimum warpage is optimized by genetic algorithm (GA) to obtain the best structural parameters. Secondly, the best structural parameters of gating system corresponding to 16 groups of plastic parts are taken as samples, and the relationship between the structural parameters of gating system and the size parameters of plastic parts is established by Kriging model. In addition, K-means is used to reduce the number of the structural parameters of gating system from 5 to 2, in order to improve the accuracy of decision model. Finally, the size parameters of plastic parts are input to the decision model to obtain the structural parameters of gating system. Through the verification of mold flow analysis experiment, the structural parameters of gating system obtained by this method meet the design requirements and can effectively shorten the structural design cycle of injection mold.

关键词:

K-means Gating system Warpage Kriging model Genetic algorithm (GA) Mold flow analysis

作者机构:

  • [ 1 ] [Chu, Hongyan]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Zhijian]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Zhang, Caixia]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Zhifeng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Zhao, Yongsheng]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Yang, Congbin]Beijing Univ Technol, Inst Adv Mfg & Intelligent Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Chu, Hongyan]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 8 ] [Liu, Zhijian]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 9 ] [Zhang, Caixia]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 10 ] [Liu, Zhifeng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 11 ] [Zhao, Yongsheng]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China
  • [ 12 ] [Yang, Congbin]Beijing Univ Technol, Beijing Key Lab Adv Mfg Technol, Beijing 100124, Peoples R China

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来源 :

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

ISSN: 0268-3768

年份: 2022

期: 11-12

卷: 119

页码: 7599-7614

3 . 4

JCR@2022

3 . 4 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:49

JCR分区:2

中科院分区:3

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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