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The Scientific World Journal
Volume 2014 (2014), Article ID 234150, 8 pages
http://dx.doi.org/10.1155/2014/234150
Research Article

Cutting Force Predication Based on Integration of Symmetric Fuzzy Number and Finite Element Method

1School of Mechatronic Engineering, Changchun University of Technology, Changchun 130012, China
2College of Mechanical Engineering, Beihua University, Jilin 132021, China

Received 13 January 2014; Accepted 17 February 2014; Published 20 March 2014

Academic Editor: Belal F. Yousif

Copyright © 2014 Zhanli Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. National Research Council of USA, Visionary Manufacturing Challenges for 2020, 1998.
  2. M. Haghi, R. Farshbaf Zinati, and M. Reza Razfar, “Experimental and modeling study of the turning process of PA 6/nano calcium carbonate composite,” Journal of Composites, vol. 2013, Article ID 970954, 7 pages, 2013. View at Publisher · View at Google Scholar
  3. A. H. El-Sinawi, “Modeling and control of cutter vibration in the presence of random distribution of microhardness of workpiece and nonlinear cutting forces in lathe process,” ISRN Mechanical Engineering, vol. 2011, Article ID 309691, 11 pages, 2011. View at Publisher · View at Google Scholar
  4. D. A. Axinte, W. Belluco, and L. de Chiffre, “Evaluation of cutting force uncertainty components in turning,” International Journal of Machine Tools and Manufacture, vol. 41, no. 5, pp. 719–730, 2001. View at Publisher · View at Google Scholar · View at Scopus
  5. A. Ban, “Approximation of fuzzy numbers by trapezoidal fuzzy numbers preserving the expected interval,” Fuzzy Sets and Systems, vol. 159, no. 11, pp. 1327–1344, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. L. Yuan-yuan, Study on FE simulation of chip formation and temperature field during high speed machining hardened steel [M.S. thesis], Dalian University of Technology, Dalian, China, 2009.
  7. T. Özel and E. Zeren, “Determination of work material flow stress and friction for FEA of machining using orthogonal cutting tests,” Journal of Materials Processing Technology, vol. 153-154, no. 1–3, pp. 1019–1025, 2004. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Shrot and M. Bäker, “Determination of Johnson-Cook parameters from machining simulations,” Computational Materials Science, vol. 52, no. 1, pp. 298–304, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. N. N. Zorev, Interrelationship between Shear Processes Occurring Along Tool Face and on Shear Plane in Metal Cutting. International Research in Production Engineering, ASME, New York, NY, USA, 1963.
  10. P. Majumdar, R. Jayaramachandran, and S. Ganesan, “Finite element analysis of temperature rise in metal cutting processes,” Applied Thermal Engineering, vol. 25, no. 14-15, pp. 2152–2168, 2005. View at Publisher · View at Google Scholar · View at Scopus