• DocumentCode
    3108515
  • Title

    Form design of CNC machine tools using SVM-Kansei engineering model

  • Author

    Wang, Kun-Chieh ; Liang, Jung-Chin ; Lin, Yu-Cai

  • Author_Institution
    Dept. of Technol. Product Design, Ling Tung Univ., Taichung
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    143
  • Lastpage
    149
  • Abstract
    In the past, the design of CNC machine tools focused on their functional aspects and was hard to acquire any resonance with customers. Nowadays, despite the needs of low-price and high-quality machine, more and more customers request a good-looking machine. Regarding this, our study aims to provide a novel approach based on the combination of Kansei engineering and support vector machine scheme to determine the best design combination of product form elements of machine tools for matching consumer-preferred product images. Furthermore, for practical consideration, a user-friendly design expert system is developed and an example of new-designed machine tool out-looking based on this system is demonstrated.
  • Keywords
    CAD/CAM; computerised numerical control; expert systems; human computer interaction; intelligent manufacturing systems; machine tools; product design; support vector machines; CNC machine tool; SVM-Kansei engineering model; product form design; support vector machine scheme; user-friendly design expert system; Artificial neural networks; Computer numerical control; Design engineering; Expert systems; Information technology; Machine tools; Product design; Psychology; Resonance; Support vector machines; CNC machine tools; expert system; form design; kansei engineering; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811265
  • Filename
    4811265