• DocumentCode
    1972999
  • Title

    Diagnosis of sheet metal stamping processes based on thermal energy distribution

  • Author

    Ng, Yiu-Ming Harry ; Yu, Maolin ; Huang, Y. ; Du, R.

  • Author_Institution
    Dept. of Autom. & Comput. Eng., Chinese Univ. of Hong Kong, Shatin, China
  • fYear
    2005
  • fDate
    1-2 Aug. 2005
  • Firstpage
    191
  • Lastpage
    196
  • Abstract
    Computer-aid design (CAD) and finite element analysis (FEA) have been widely used in sheet metal stamping nowadays, especially in automotive and aerospace industries. However, die tryout and fault diagnosis still heavily rely on the experiences of the machinists on the shop floor. In this paper, a novel approach is proposed using the thermal energy distribution of the part. The new approach is based on the fact that during the stamping process, the part absorbs energy to deform. Since most of the (plastic) deformation energy would convert to heat energy, it is therefore possible to detect possible defects by means of analyzing its thermal energy distribution. In practice, the thermal energy distribution can be acquired using an infrared camera. Furthermore, it is possible to compute the thermal energy distribution through a simple FEA. A practical example of cup drawing is discussed in details together with the experiment validation.
  • Keywords
    fault diagnosis; finite element analysis; infrared imaging; plastic deformation; production engineering computing; sheet metal processing; computer-aid design; die tryout; fault diagnosis; finite element analysis; infrared camera; plastic deformation energy; sheet metal stamping processes; thermal energy distribution; Approximation algorithms; Computer aided manufacturing; Distributed computing; Finite element methods; Laboratories; Manufacturing automation; Manufacturing processes; Plastics; Thermal engineering; Thermal force;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9425-9
  • Type

    conf

  • DOI
    10.1109/COASE.2005.1506767
  • Filename
    1506767