• DocumentCode
    3576695
  • Title

    Interactive virtual machining system using informative data structure and on-site machine tool status

  • Author

    Kadir, A. Z. Abdul ; Xu, X.

  • Author_Institution
    Dept. of Mater., Manuf. & Ind. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2014
  • Firstpage
    958
  • Lastpage
    962
  • Abstract
    Virtual machining systems that are adaptive and responsive towards real machining environment are crucial to leverage a deep understanding of the underlying machining operations. It must retain radical behavior in order to enhance process planning and machining performance, in response to ever-changing manufacturing activities. Therefore, the study aims to develop an interactive virtual machining system that is responsive to on-site machine tool condition utilizing STEP-NC as the data structure. Signals from sensors are acquired, processed and converted into meaningful values where they were then incorporated in the system enabling tool-path simulation in a realistic environment. The system platform was constructed using C# programming software, EXPRESS for constructing the data structure, and LABWindows for signal processing. The tested capabilities of the system functions showed that the up-to-date information obtained, truly supports the inter-working concept in a virtual-real systems interaction which leads to reduction of the total production time.
  • Keywords
    C language; data structures; digital simulation; interactive systems; machine tools; process planning; production engineering computing; signal processing; virtual machining; C# programming software; EXPRESS; LABWindows; STEP-NC; informative data structure; interactive virtual machining system; on-site machine tool status; process planning; signal processing; tool-path simulation; Data models; Java; Machine tools; Manufacturing; Solid modeling; Virtual machining; STEP-NC; Virtual machining; monitoring; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058780
  • Filename
    7058780