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IJAT Vol.8 No.6 pp. 801-810
doi: 10.20965/ijat.2014.p0801
(2014)

Paper:

Finished Surface Simulation Method to Predicting the Effects of Machine Tool Motion Errors

Ryuta Sato*, Yuki Sato*, Keiichi Shirase*,
Gianni Campatelli**, and Antonio Scippa**

*Department of Mechanical Engineering, Kobe University, 1-1 Rokko-dai, Nada, Kobe 657-8501, Japan

**Department of Industrial Engineering, University of Florence, Via di Santa Marta, 3-50139 Firenze, Italy

Received:
May 30, 2014
Accepted:
October 1, 2014
Published:
November 5, 2014
Keywords:
finished surface, simulation method, motion error, machine tool
Abstract
This paper proposes a method of simulating the effects of the machining center motion errors onto the finished surface. The proposed simulation method consists of the servo delay models of feed drive systems, a geometrical error model of the machine tool, a machined shape simulator, and a renderer. In order to compare the simulated finished surfaces with the machined one, tests consisting of machining spheres are carried out using a ball-end mill. As result, it is proven that the proposed simulation method can adequately simulate the effects of motion errors on the finished surface. In addition, an investigation into the cause of blemishes is carried out. It is also confirmed that the proposed method can be an effective tool in the identification of the causes of blemishes on the surface.
Cite this article as:
R. Sato, Y. Sato, K. Shirase, G. Campatelli, and A. Scippa, “Finished Surface Simulation Method to Predicting the Effects of Machine Tool Motion Errors,” Int. J. Automation Technol., Vol.8 No.6, pp. 801-810, 2014.
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References
  1. [1] H. Hasebe, S. Wakaoka, and T. Yamamoto, “An NC data analyzer for improving the quality of machined surface,” Proc. of the Mechanical Engineering Congress 2004, pp. 329-330, 2004. (in Japanese).
  2. [2] Godo Solution Inc., “Path Scope (online),”
    available from http://www.godo.co.jp/product/machining/ps.html [accessed on Apr. 16, 2014]
  3. [3] H. Iwabe, K. Shimizu, and M. Sasaki, “Analysis of cutting mechanism by ball end mill using 3D-CAD,” JSME Int. J., Series C, Vol.49, No.1, pp. 28-34, 2006.
  4. [4] I. Buj-Corral, J. Vivancos-Calvet, and A. Dominguez-Fernandez, “Surface topography in ball-end milling processes as a function of feed per tooth and radial depth of cut,” Int. J. of Machine Tools & Manufacture, Vol.53, pp. 151-159, 2012.
  5. [5] J. Kim and C. Kim, “Influence of machine vibration on surface generation in ultra precision machining,” Proc. of the ICOMM, No.86, pp. 497-501, 2011.
  6. [6] A. Scippa, N. Grossi, and G. Campatelli, “Milled surface generation model for chip thickness detection in peripheral miling,” Proc. CIRP, Vol.8, pp. 450-455, 2013.
  7. [7] K. Nishio, R. Sato, and K. Shirase, “Influence of motion errors of feed drive systems on machined surface,” J. of Advanced Mechanical Design, Systems, and Manufacturing, Vol.4, No.6, pp. 781-791, 2012.
  8. [8] Y. Sato, R. Sato, and K. Shirase, “Influence of motion error of feed drive systems onto machined surface generated by ball end-mill,” Proc. of the 7th Int. Conf. on Leading Edge Manufacturing in 21st Century, No.A001, 2013.
  9. [9] M. Tsutsumi M and A. Saito, “Identification and compensation of systematic deviations particular to 5-axis machining centers,” Int. J. of machine tools & manufacture, Vol.43, pp. 771-780, 2003.
  10. [10] M. Tsutsumi, S. Tone, N. Kato, and R. Sato, “Enhancement of geometric accuracy of five-axis machining centers based on identification and compensation of geometric deviations,” Int. J. of machine tools & manufacture, Vol.68, pp. 11-20, 2013.
  11. [11] B. Bringmann and W. Knapp, “Model-based ‘chace-the-ball’ calibration of a 5-axis machining center,” CIRP annals ’ manufacturing technology, Vol.55, Issue 1, pp. 431-534, 2006.
  12. [12] S. Weikert, “R-test, a new device for accuracy measurements on five axis machine tools,” CIRP annals – manufacturing technology, Vol.53, Issue 1, pp. 429-432, 2004.
  13. [13] S. Ibaraki, M. Sawada, A. Matsubara, and T. Matsushita, “Machining tests to identify kinematic errors on five-axis machine tools,” Precision Engineering, Vol.34, No.3, pp. 387-398, 2010.
  14. [14] C. Hong, S. Ibaraki, and A. Matsubara, “Influence of positiondependent geometric errors of rotary axes on a machining test of cone frustum by five-axis machine tools,” Precision Engineering, Vol.35, No.1, pp. 1-11, 2011.
  15. [15] NAS979, “Unifirm cutting tests – NAS series, metal cutting equipment specifications,” pp. 34-37, 1969.
  16. [16] M. Tsutsumi, D. Yumiza, K. Utsumi, and R. Sato, “Evaluation of synchronous motion in five-axis machining centers with a tilting rotary table,” J. of Advanced Design, Systems, and Manufacturing, Vol.1, No.1, pp. 24-35, 2007.
  17. [17] R. Sato and M. Tsutsumi, “High performance motion control of rotary table for 5-axis machining centers,” Int. J. of Automation Technology, Vol.1, No.2, pp. 113-119, 2007.
  18. [18] R. Sato and M. Tsutsumi, “Dynamic synchronous accuracy of translational and rotary axes,” Int. J. of Mechatronics and Manufacturing Systems, Vol.4, No.3/4, pp. 201-219, 2011.
  19. [19] K. Erkorkmaz and Y. Altintas, “High speed CNC system design. Part II: modeling and identification of feed drives,” Int. J. of Machine Tools and Manufacture, Vol.41, No.10, pp. 1487-1509, 2001.
  20. [20] O. Zirn, “Machine tool analysis – modelling, simulation and control of machine tool manipulators,” Habilitation Thesis, ETH Zurich, Institute of Machine Tools and Manufacturing, 2008.
  21. [21] R. Sato and M. Tsutsumi, “Modeling, and controller tuning techniques for feed drive systems,” Proc. of the ASME Dynamic Systems and Control Division, Part A, DSC-Vol.74-1, pp. 669-679, 2005.
  22. [22] R. Sato, “Feed drive simulator,” Int. J. of Automation Technology, Vol.5, No.6, pp. 875-882, 2011.
  23. [23] Fanuc Ltd., “Fanuc AC servo motor parameter manual,” B-65270EN/07, 2010.
  24. [24] ISO230-1, “Test code for machine tools – Part 1: Geometric accuracy of machines operating under no-load or quasi-static conditions,” 2012.
  25. [25] S. Ibaraki and W. Knapp, “Indirect measurement of volumetric accuracy for three-axis and five-axis machine tools: a review,” Int. J. of Automation Technology, Vol.6, No.2, pp. 110-124, 2012.
  26. [26] CGTech.Co. Ltd., “VERICUT (online),”
    available from http://www.cgtech.com/ [accessed on Apr. 16, 2014]
  27. [27] Blender Foundation, “Blender (online),”
    available from http://www.blender.org/ [accessed on Apr. 16, 2014]

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