Rectifying control of wire diameter during dieless drawing by a deformation measuring method of interframe displacement

Yong He , Xue-feng Liu , Fang Qin , Jian-xin Xie

International Journal of Minerals, Metallurgy, and Materials ›› 2012, Vol. 19 ›› Issue (7) : 615 -621.

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International Journal of Minerals, Metallurgy, and Materials ›› 2012, Vol. 19 ›› Issue (7) : 615 -621. DOI: 10.1007/s12613-012-0603-5
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Rectifying control of wire diameter during dieless drawing by a deformation measuring method of interframe displacement

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Abstract

A deformation measurement method of interframe displacement was proposed in this paper. By online monitoring the shape dimensions of both the deformation zone and its adjacent zone by machine vision, the initial and terminative positions of deformation were dynamically identified during dieless drawing, and the global monitoring and online closed-loop control of the deformation zone were achieved. The dieless drawing process was systematically carried out on NiTi shape memory alloy wires. It is shown that the deformation measurement method of interframe displacement can track the axial displacement of the wires, but this cannot be achieved by traditional machine vision. The initial and terminative positions of deformation can be accurately identified by this method. The proposed rectifying control technology can effectively decrease the wire diameter fluctuation during dieless drawing, that is, the standard deviation of the wire diameter fluctuation could be decreased from 0.30 to 0.08 mm after three passes of dieless drawing, indicating that the control system has a good rectifying ability.

Keywords

wire drawing / rectification / deformation / machine vision / closed loop control systems / nickel alloys / shape memory effect

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Yong He, Xue-feng Liu, Fang Qin, Jian-xin Xie. Rectifying control of wire diameter during dieless drawing by a deformation measuring method of interframe displacement. International Journal of Minerals, Metallurgy, and Materials, 2012, 19(7): 615-621 DOI:10.1007/s12613-012-0603-5

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References

[1]

Tiernan P., Hillery M.T. An analysis of wire manufacture using the dieless drawing method. J. Manuf. Processes, 2008, 10(1): 12

[2]

Naughton M.D., Tiernan P. Requirements of a dieless wire drawing system. J. Mater. Process. Technol., 2007, 191, 310

[3]

He Y., Liu X.F., Xie J.X., Zhang H.G. The processing limit maps for stable deformation of the dieless drawing. Int. J. Miner. Metall. Mater., 2011, 18(3): 330

[4]

Tiernan P., Hillery M.T. Experimental and numerical analysis of the deformation in mild steel wire during dieless drawing. J. Mater. Des. Appl., 2002, 216(3): 167.

[5]

T. Furushima and K. Manabe, A novel processing for microtubes-superplastic dieless drawing technique, [in] The 9th International Conference on Technology of Plasticity, Gyeongju, 2008, p.205.

[6]

Kawaguchi Y., Katsube K., Murahashi M., Yamada Y. Applications of dieless drawing to Ti-Ni wire drawing and tapered steel wire manufacturing. Wire J. Inter., 1991, 24, 53.

[7]

Y. You and K. Kazuo, Dieless Wire Drawing Method, Japanese Patent, Appl. 06-190432, 1996.

[8]

Vacharanukul K., Mekid S. In-process dimensional inspection sensors. Measurement, 2005, 38, 204

[9]

Rosati G., Boschetti G., Biondi A., Rossi A. On-line dimensional measurement of small components on the eyeglasses assembly line. Opt. Lasers Eng., 2009, 47, 320

[10]

Chen C.H., Liang J.M., Zhao H., Hu H.H., Tian J. Frame difference energy image for gait recognition with incomplete silhouettes. Pattern Recognit. Lett., 2009, 30(11): 977

[11]

Wu D. P., Cheng W.P., Yu C.L. Camshift object tracking algorithm based on inter-frame difference and motion prediction. Opto-electron Eng, 2010, 37(1): 55.

[12]

Wang M.J., Xiao G. D. Anti-interference moving object detection algorithm. Comput. Eng., 2010, 36(3): 232.

[13]

Huang Y.R., Qu L.G. Parameter Tuning and Implementation of PID Controller, 2010, Beijing, Science Press, 6.

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