Influence of Blank-Holder Force on Springback of Cap-Shape Parts Bending

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Abstract:

Springback is the prominent problem in bending forming of sheet metal, which is difficult to control accurately, especially for the complex shaped bending parts. The change of blank-holder force will cause significant changes of bending springback amount. The theoretical analytical model of cap-shape parts bending, which takes into account of the harden ability, anisotropy and elastic deformation of material, is proposed in this paper based on the plane deformation assumption and the bending theory of sheet metal, the cap-shape parts bending of wide sheet is analyzed theoretically, the approximate calculation relational expression is derived between the blank-holder force and springback angle, and the influence of blank-holder force on springback is discussed. In the same conditions, the springback result deduced from theoretical formula is basically consistent with numerical simulation and experiment result.

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Periodical:

Advanced Materials Research (Volumes 538-541)

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1705-1710

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June 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] H. M. Zhang, Z. Y.Cai and M. Z. Li.: Journal of Plasticity Engineering, Vol. 14(2007), pp.32-35.

Google Scholar

[2] K. Masami: Journal of the Japan Society for Technology of Plasticity, Vol. 34(1993), pp.345-351.

Google Scholar

[3] Z. K. Shi. The control theory of neural network system. M. Xi'an: Xian industrial university press, 1997. In Chinese.

Google Scholar

[4] Y. P. Guan. Research on intelligent control technologies for V shaped free bending of sheet metal. D. Qinhuangdao: Yanshan University, 2004.

Google Scholar

[5] C.J.Su. Research on the rule of springback and intelligent control technologies for multangular shape single bending. D. Qinhuangdao: Yanshan University.2007.

Google Scholar

[6] Y. Q. Liu, J. H. Liu, P. Hu, et al. J . Mechanical Engineering, Vol. 16(2003), pp.190-192.

Google Scholar

[7] D. J. Zhang and Z. S. Cui. J. Computational Materials Science, Vol. 38(2007), pp.707-715.

Google Scholar

[8] X. K. Luo, G.F. Wang, et al. J. Xuzhou Institute of Technology, Vol. 25(2010), p.13. In Chinese.

Google Scholar

[9] X.W. Lai. Research on Springback Forecasting of Sheet Metal Stamping Based on a Combination Forecasting Method of Artificial Neural Network. M. Hangzhou: Zhejiang University.2006.

Google Scholar