Evaluation of Multi-axis Machining Processes Based on Macroscopic Engagement Simulation

  • Meysam MinoufekrEmail author
  • Lothar Glasmacher
  • Oliver Adams
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 325)


Process planning and process design to identify stable process areas is nowadays characterized by time-consuming correction loops, where the number of iterations and the effort involved are mostly from the experience and knowledge of process designer. This requires on the one hand additional planning steps as deriving process parameters and secondly an evaluation of the achieved product quality. By using the macro simulation model introduced in this paper, the computational complexity to obtain significant process knowledge is decreased and thus made accessible more easily. Detailed tool-workpiece engagement is calculated through the presented model, which co-relates to mechanical and thermal stresses on the tool. Based on the calculations the process can be designed by reducing the tool load in the course of the process. This way, the tool life of the used milling cutters can be significantly increased resulting in an increase of process robustness and efficiency, thereby reducing used resources.


Geometric modelling NC machining simulation Tool/workpiece engagement 



The authors would like to thank the German Research Foundation DFG for the support of the depicted research within the Cluster of Excellence “Integrative Production Technology for High-Wage Countries”.


  1. 1.
    Arntz, K.: Technologie des Mehrachsfräsens von vergütetem Schnellarbeitsstahl, Aachen (2013)Google Scholar
  2. 2.
    Zabel, A.: Prozesssimulation in der Zerspanung. Vulkan-Verlag, Dortmund (2010)Google Scholar
  3. 3.
    Glaeser, G.: Efficient volume-generation during the simulation of NC-milling, In: Proceedings of the International Workshop on Visualization and Mathematics’97, pp. 89–106 Springer, Heidelberg (1997)Google Scholar
  4. 4.
    Jerard, R.: Approximate methods for simulation and verification of numerically controlled machining programs. Vis. Comput. 5, 329–348 (1989)CrossRefGoogle Scholar
  5. 5.
    Robert, L.: Discrete simulation of NC machining. In: Proceedings of the Third Annual Symposium on Computational Geometry, Ontario (1987)Google Scholar
  6. 6.
    Stautner, M.: Simulation und Optimierung der mehrachsigen Fräsbearbeitung, Vulkan Verlag Essen (2005)Google Scholar
  7. 7.
    CGTech (2013)., (Online)
  8. 8.
    Meinecke, M.: Prozessauslegung zum fünfachsigenzirkularen Schruppfräsen von Titanlegierungen, Aachen (2009)Google Scholar
  9. 9.
    DiehlA.: Increasing Productivity with Engagement-Generated Toolpaths, CNC Machining, Vol 14, Iss 47 (2011)Google Scholar
  10. 10.
    Klocke, F.: Manufacturing Processes 1. Springer, Berlin (2011)CrossRefGoogle Scholar
  11. 11.
    Ståhl, E.: Metal Cutting. Theories and Models, Elanders, Lund (2012)Google Scholar
  12. 12.
    Stifter, S.: Simulation of NC Machining Based on the Dexel Model: A Critical Analysis. Int. Journal for Advanced Manufacturing Technology, Springer, London (1995)Google Scholar
  13. 13.
    Ren, Y.: Feature Conservation and Conversion of Tri-dexel Volumetric Models. Computer-Aided Design and Application, CAD Solutions (2008)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Meysam Minoufekr
    • 1
    Email author
  • Lothar Glasmacher
    • 1
  • Oliver Adams
    • 2
  1. 1.CAx-TechnologiesFraunhofer-Institute for Production Technology (IPT) AachenGermany
  2. 2.RWTH Aachen UniversityAachenGermany

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