Application of fuzzy neural network to the intelligent control of blank-holding force

被引:0
|
作者
Wang, Rui [1 ]
Zheng, Xiaodan [1 ]
Luo, Yajun [1 ]
He, Dannong [1 ]
Zhang, Wei [1 ]
Li, Jun [1 ]
机构
[1] CAD Eng. Res. Cent., Shanghai Jiaotong Univ., Shanghai 200030, China
关键词
Control systems - Fuzzy control - Neural networks - Stamping;
D O I
暂无
中图分类号
学科分类号
摘要
Fuzzy neural network based expert system was applied to the artificial intelligent control of blank-holding force (BHF) in sheet stamping process. The paper explains the construction of fuzzy neural network and the fuzzy neural network reasoning mechanism in detail. Main equipment of BHF test and optimal control system is introduced in detail, by which the rule of cup with flange forming process was studied.
引用
收藏
页码:494 / 498
相关论文
共 50 条
  • [1] Expert system based on fuzzy neural network for the optimal control of blank holder force
    Wang, R.
    Luo, Y.J.
    He, D.N.
    Wang, D.Z.
    Li, J.
    Zhang, W.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2001, 35 (03): : 411 - 415
  • [2] An application on intelligent control using neural network and fuzzy logic
    Tyan, CY
    Wang, PP
    Bahler, DR
    NEUROCOMPUTING, 1996, 12 (04) : 345 - 363
  • [3] AN IMPROVED METHOD FOR THE APPLICATION OF BLANK-HOLDING FORCE CONSIDERING THE SHEET THICKNESS IN THE DEEP-DRAWING SIMULATION OF PLANAR ANISOTROPIC SHEET
    JUNG, DW
    SONG, IS
    YANG, DY
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1995, 52 (2-4) : 472 - 488
  • [4] Prediction of critical blank-holding force criterion to prevent wrinkles in axi-symmetric cup drawing
    Yoon, H
    Alexandrov, B
    Chung, K
    Dick, RE
    Kang, TJ
    PROGRESS ON ADVANCED MANUFACTURE FOR MICRO/NANO TECHNOLOGY 2005, PT 1 AND 2, 2006, 505-507 : 1273 - 1278
  • [5] Earing Reduction by Varying Blank Holding Force in Deep Drawing with Deep Neural Network
    Tran, Minh Tien
    Shan, Zhengtong
    Lee, Ho Won
    Kim, Dong-Kyu
    METALS, 2021, 11 (03) : 1 - 23
  • [6] Forming of aluminum alloys - application of computer simulations and blank holding force control
    Ahmetoglu, MA
    Kinzel, G
    Altan, T
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1997, 71 (01) : 147 - 151
  • [7] Application of fuzzy neural network in the fault intelligent diagnosis
    Peng, ST
    Cui, SH
    Feng, ZS
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1363 - 1366
  • [8] An application of fuzzy neural network in the fault intelligent diagnosis
    Huang, KL
    Lian, GY
    Peng, ST
    Wei, ZL
    ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 1053 - 1056
  • [9] Intelligent compaction control based on fuzzy neural network
    Ju, YF
    Lin, GF
    Fan, YD
    Liu, ZY
    PDCAT 2005: Sixth International Conference on Parallel and Distributed Computing, Applications and Technologies, Proceedings, 2005, : 930 - 934
  • [10] AN INTELLIGENT CONTROL SYSTEM BASED ON RECURRENT NEURAL FUZZY NETWORK AND ITS APPLICATION TO CSTR
    JIA Li YU Jinshou (Research Institute of Automation
    East China University of Science and Technology
    Shanghai
    JournalofSystemsScienceandComplexity, 2005, (01) : 43 - 54