• DocumentCode
    3568021
  • Title

    Process characterization and evaluation of NC machining processes based on macroscopic engagement simulation

  • Author

    Minoufekr, Meysam ; Schug, Pascal ; Joshi, Mihir

  • Author_Institution
    CAx-Technologies, Fraunhofer-Insitute for Production Technology, Steinbachstr. 17, 52074 Aachen, Germany
  • Volume
    2
  • fYear
    2014
  • Firstpage
    661
  • Lastpage
    670
  • Abstract
    With a view to achieve stable production, nowadays the process design and planning goes through a time and resource intensive correction loop. The process output after machining trials is used to determine the critical process sections, and hence the experience of the process designer is decisive in the productivity of the optimization loop and the process. The implementation of a machining simulation can enhance the productivity of the process design and planning phase. The macroscopic engagement simulation provides an efficient tool for process evaluation. Moreover, it provides a basis for derivation of microscopic geometric process parameters, which have a direct correlation to mechanical and thermal loads. Thus, detailed information relating to the cutting loads on the tool is derivable at every point on the toolpath, enabling analysis of NC machining process based purely on the macroscopic geometric engagement between the cutting tool and workpiece. This information regarding the engagement conditions can be used to proactively identify potential critical process sections in a virtual environment thereby increasing the process reliability. Thus a process design for an optimal tool load is possible resulting in improved tool life, process efficiency and reduction in utilised resources.
  • Keywords
    Analytical models; Computational modeling; Cutting tools; Geometry; Mathematical model; Milling; Material Removal Simulation; NC Machining Process Evaluation; Numerical Control Machining Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (ICINCO), 2014 11th International Conference on
  • Type

    conf

  • Filename
    7049669