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Computational Intelligence and Neuroscience
Volume 2016, Article ID 7620438, 6 pages
http://dx.doi.org/10.1155/2016/7620438
Research Article

Development of a Prediction Model Based on RBF Neural Network for Sheet Metal Fixture Locating Layout Design and Optimization

The Ministry of Education Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Northwestern Polytechnical University, No. 127, Youyi Road (West), Xi’an 710072, China

Received 31 October 2015; Revised 23 February 2016; Accepted 17 March 2016

Academic Editor: Carlos M. Travieso-González

Copyright © 2016 Zhongqi 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. N. Jayaweera and P. Webb, “Automated assembly of fuselage skin panels,” Assembly Automation, vol. 27, no. 4, pp. 343–355, 2007. View at Publisher · View at Google Scholar · View at Scopus
  2. W. Cai, S. J. Hu, and J. X. Yuan, “Deformable sheet metal fixturing: principles, algorithms, and simulations,” Journal of Manufacturing Science and Engineering, vol. 118, no. 3, pp. 318–324, 1996. View at Publisher · View at Google Scholar · View at Scopus
  3. S. Kashyap and W. R. Evries, “Finite element analysis and optimization in fixture design,” Structural Optimization, vol. 18, no. 2, pp. 193–201, 1999. View at Publisher · View at Google Scholar
  4. N. Kaya, “Machining fixture locating and clamping position optimization using genetic algorithms,” Computers in Industry, vol. 57, no. 2, pp. 112–120, 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. W. Chen, L. Ni, and J. Xue, “Deformation control through fixture layout design and clamping force optimization,” International Journal of Advanced Manufacturing Technology, vol. 38, no. 9-10, pp. 860–867, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. S.-G. Liu, L. Zheng, Z.-H. Zhang, Z.-Z. Li, and D.-C. Liu, “Optimization of the number and positions of fixture locators in the peripheral milling of a low-rigidity workpiece,” International Journal of Advanced Manufacturing Technology, vol. 33, no. 7-8, pp. 668–676, 2007. View at Publisher · View at Google Scholar · View at Scopus
  7. G. Prabhaharan, K. P. Padmanaban, and R. Krishnakumar, “Machining fixture layout optimization using FEM and evolutionary techniques,” International Journal of Advanced Manufacturing Technology, vol. 32, no. 11-12, pp. 1090–1103, 2007. View at Publisher · View at Google Scholar · View at Scopus
  8. M. Hamedi, “Intelligent fixture design through a hybrid system of artificial neural network and genetic algorithm,” Artificial Intelligence Review, vol. 23, no. 3, pp. 295–311, 2005. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Vasundara, K. P. Padmanaban, M. Sabareeswaran, and M. RajGaneshd, “Machining fixture layout design for milling operation using FEA, ANN and RSM,” Procedia Engineering, vol. 38, pp. 1693–1703, 2012. View at Publisher · View at Google Scholar
  10. S. Selvakumar, K. P. Arulshri, K. P. Padmanaban, and K. S. K. Sasikumar, “Design and optimization of machining fixture layout using ANN and DOE,” The International Journal of Advanced Manufacturing Technology, vol. 65, no. 9–12, pp. 1573–1586, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. S. Selvakumar, K. P. Arulshri, and K. P. Padmanaban, “Machining fixture layout optimization using genetic algorithm and artificial neural network,” International Journal of Manufacturing Research, vol. 8, no. 2, pp. 171–195, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Lu and H.-W. Zhao, “Fixture layout optimization for deformable sheet metal workpiece,” International Journal of Advanced Manufacturing Technology, vol. 78, no. 1–4, pp. 85–98, 2015. View at Publisher · View at Google Scholar · View at Scopus
  13. F. M. T. Rex and D. Ravindran, “An integrated approach for optimal fixture layout design,” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2015. View at Publisher · View at Google Scholar
  14. G. H. Qin, Z. K. Wang, Y. M. Rong, and Q. Li, “A unified approach to multi-fixturing layout planning for thin-walled workpiece,” Proceedings of the Institution of Mechanical Engineers Part B: Journal of Engineering Manufacture, 2015. View at Publisher · View at Google Scholar
  15. S. S. Haykin, Neural Networks and Learning Machines, Pearson Education, Upper Saddle River, NJ, USA, 2009.
  16. D. S. Simulia, Abaqus 6.12 Documentation, Dassault Systèmes Simulia, Providence, RI, USA, 2012.
  17. B. Hudson, M. Hagan, and H. Demuth, Neural Network Toolbox for Use with MATLAB, User’s Guide, The MathWorks, Natick, Mass, USA, 2012.