• DocumentCode
    2249099
  • Title

    A NN-based expert system for the forging design of steering knuckles

  • Author

    Cheng, Lianjun ; Zhao, Guoqun ; Zou, Rongguo ; Zhang, Tiezhu

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Qingdao Univ., Qingdao, China
  • fYear
    2011
  • fDate
    17-19 Sept. 2011
  • Firstpage
    352
  • Lastpage
    355
  • Abstract
    Basic architecture, knowledge express and reasoning mode of the NN-based (neural network based) expert system are studied in this paper. The design theories, experience knowledge of the forging process and artificial intelligence technology are unified to develop the FDesign-SK (Expert system for the forging design of the steering knuckle) software. The experiential knowledge extracted from kinds of forging samples of steering knuckles is stored in this system. The framework of the system is modularization, which makes the interface operate easily. FDesign-SK is a system of opening design and good self-training function. Therefore, the training samples could be expanded to improve forecast accuracy and stability of the system. The forging design of steering knuckles assisted with FDesign-SK could shorten development period, lower cost and reduce workload of the designer.
  • Keywords
    automobile industry; automotive components; expert systems; forging; neural nets; steering systems; FDesign-SK; NN-based expert system; artificial intelligence; basic architecture; forging design; knowledge express; neural network; reasoning mode; steering knuckles; Artificial neural networks; Biological neural networks; Cognition; Expert systems; Process design; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems (CIS), 2011 IEEE 5th International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-61284-199-1
  • Type

    conf

  • DOI
    10.1109/ICCIS.2011.6070354
  • Filename
    6070354