期刊文献+

GATE TYPE SELECTION BASED ON FUZZY MAPPING

GATE TYPE SELECTION BASED ON FUZZY MAPPING
下载PDF
导出
摘要 Gate type selection is very important for mould design. Improper gate typemay lead to poor product quality and low production efficiency. Although numerical simulationapproach could be used to optimize gate location, the determination of gate type is still up todesigners' experience. A novel method for selecting gate type based on fuzzy logic is proposed. Theproposed methodology follows three steps: Design requirements for gate is extracted and generalized;Possible gate types (design schemes) are presented; The fuzzy mapping relationship between gatedesign requirements and gate design scheme is established based on fuzzy composition and fuzzyrelation transition matrices that are assigned by domain experts. Gate type selection is very important for mould design. Improper gate typemay lead to poor product quality and low production efficiency. Although numerical simulationapproach could be used to optimize gate location, the determination of gate type is still up todesigners' experience. A novel method for selecting gate type based on fuzzy logic is proposed. Theproposed methodology follows three steps: Design requirements for gate is extracted and generalized;Possible gate types (design schemes) are presented; The fuzzy mapping relationship between gatedesign requirements and gate design scheme is established based on fuzzy composition and fuzzyrelation transition matrices that are assigned by domain experts.
出处 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2002年第1期31-34,61,共5页 中国机械工程学报(英文版)
关键词 Gate type selection Fuzzy logic Gate type selection Fuzzy logic
  • 相关文献

参考文献6

  • 1[1]Raos P, Catic I. Methodical designing of molds for injection molding of polymers. In:NTEC'89:1 248~1 250
  • 2[2]Pye R G W. Injection mould design. George Godwin, 1983
  • 3[3]Raviwongse R, Allada V, Sandidge T. Plastic manufacturing process selection methodology using self-organizing map (SOM)/fuzzy analysis. Int. J Adv. Manuf. Technol., 2000(16):155~161
  • 4[4]Sun J, Kalenchuk D K, Xue D, et al. Design candidate identification using neural network-based fuzzy reasoning. Robotics and Computer Integrated Manufacturing, 2000,16(5):383~396
  • 5[5]Feng Changxue, Kroll Dennis E, Li Peigen. Fuzzy mapping of functions onto features in detail design. Int.J.Prod.Res., 2000, 8(10):2 253~2 272
  • 6[6]Lou Z L, Zhang Y Q. Fuzzy knowledge acquirement in gate design. Chinese Journal of Mechanical Engineering, 2000, 13(1):70~80

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部