• DocumentCode
    2613249
  • Title

    Abrasive process machine simulation model, a discrete and continuous approach

  • Author

    Gasparin, H. ; Saloni, D. ; Lemaster, R.

  • Author_Institution
    North Carolina State Univ., Raleigh
  • fYear
    2007
  • fDate
    2-4 Dec. 2007
  • Firstpage
    1843
  • Lastpage
    1847
  • Abstract
    Abrasive machining is commonly defined as a process to remove material by the action of sharp grain of abrasive mineral in order to obtain a final desired shape and surface quality. Therefore, it is considered one of the most important processes in the wood industry. The use of simulation on the most critical process in the wood industry would definitely help to obtain a better understanding of the processes and the effect of changes such as equipments, operators, and raw material, as well as others in the processes. The objective of this research is to simulate an abrasive machine commonly used in wood machining to have a better understanding of the behavior of the main variables that significantly affect the sanding process when change in time. The model uses a large amount of equations (650f) to predict the behavior of the abrasive process. Moreover, the model not only integrates continuous and discrete simulation, but also, it can be interactive (the operator learning curve can be introduced into the model), and includes stochastic considerations in operation time, maintenance, repairs, etc.
  • Keywords
    machining; stochastic processes; wood processing; abrasive machining; abrasive mineral; abrasive process machine simulation model; continuous simulation; discrete simulation; stochastic considerations; wood industry; wood machining; Abrasives; Belts; Differential equations; Logic; Machining; Magnetic heads; Mathematical model; Minerals; Stochastic processes; Wood industry; Processes Simulation; Simulation Model; abrasive machining; wood processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1529-8
  • Electronic_ISBN
    978-1-4244-1529-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2007.4419511
  • Filename
    4419511