A Study on DOE Methods for Hydromechanical Deep Drawing Process Parameters

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Abstract:

Formability of sheet metals can be increased by Hydromechanical Deep Drawing (HDD) process. Formability of the deep drawn cups is generally assessed by Limiting Drawing Ratio (LDR) which is the ratio of the blank diameter to punch diameter. In order to increase LDR by HDD, process parameters of the HDD should be arranged properly. Arranging of the process parameters requires a great knowledge about the effects of the process parameters to certain performance criteria of the process. Determining of the effects of the process parameters by full factorial experiments is a hard duty. Hence certain statistical methods that decrease the number and the cost of the experiments and reduce the time should be used to find effective parameters and their appropriate levels. In this study orthogonal experimental array was applied and effective process parameters were determined by analyzing predicted data with Taguchi's robust parameter design method and ANOVA method. Then the results were compared with each other to evaluate differences between the methods. By using the appropriate levels of the parameters the LDR of AA 5754 aluminum alloy which uses in automotive industry intensely was determined.

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1602-1608

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] S.H. Zhang, J. Danckert: Journal of Materials Processing Technology, Vol. 83 (1998), pp.14-25.

Google Scholar

[2] M. Koc: Hydroforming for advanced manufacturing (Woodhead Publishing, England 2008).

Google Scholar

[3] L.M.A. Hezam, M.A. Hassan, I.M. Hassab-Allah, M.G. El-Sebaie: International Journal of Machine Tools & Manufacture, Vol. 49 (2009), p.773–780

DOI: 10.1016/j.ijmachtools.2009.04.001

Google Scholar

[4] M. Zampaloni, N. Abedrabbo, F. Pourboghrat: Int. J. of Mech. Sci., Vol.45 (2003), pp.1815-1848.

Google Scholar

[5] T.C. Hsu, S.J. Hsieh: Journal of Manufacturing Science and Eng. Vol. 118 (1996), pp.434-8.

Google Scholar

[6] L. Lang, J. Danckert, K.B. Nielsen: Journal of Eng. Manufacture Vol. 218 (2004), pp.845-856

Google Scholar

[7] L. Lang, J. Danckert, K.B. Nielsen: Int. J. of Machine Tools & Manuf. Vol. 44 (2004), pp.649-657.

Google Scholar

[8] M.M. Moshksar , A. Zamanian: Journal of Mat. Processing Tech. Vol. 72 (1997), p.363–370

Google Scholar

[9] U. Gather, W. Homberg, M. Kleiner, Ch. Klimmek, S. Kuhnt: submitted to ICTP (2002).

Google Scholar

[10] A.K. Sharma, D.K. Rout: Journal of material processing technology Vol.209 (2009), pp.1445-1453

Google Scholar

[11] S. Mahabunphachai, M. Koç: Materials and Design Vol. 31 (2010), p.2422–2434

Google Scholar

[12] B.Li, T.J. Nye, D.R. Metzger: Int J Adv Manuf Technol Vol.28 (2006), p.23–30

Google Scholar

[13] M. Halkacı., M. Türköz, M. Dilmeç, S. Halkacı, B. Dağhan: submitted to ICTP (2011)

Google Scholar

[14] S. Kaya: Dissertation, The Ohio State University (2008)

Google Scholar