A hybrid approach based on numerical, statistical and intelligent techniques for optimization of tube drawing process to produced squared section from round tube

Document Type: Research Paper

Authors

1 Department of mechanical engineering, Islamic Azad university if Sari. Sari.Iran

2 Department of mechanical engineering, Ayatollah Amoli Branch, Islamic Azad university, Amol, Iran

3 Babol Noshirvani University of Technology

4 International School of Information Management (ISIM), University of Mysore, Mysore, India

Abstract

In the tube drawing process, there are a bunch of parameters which play key role in process performance. Thus, finding the optimized parameters is a controversial issue. Current study aimed to produce a squared section of round tube by tube sinking process. To simulate the process finite element method (FEM) was used. Then, to find a meaningful kinship between process input and output parameters the developed FE model was associated with the design of experiment based response surface methodology (RSM). The sufficiency of each model was checked by analysis of variances. Further, the SA (simulated annealing) was associated with RSM models to find the optimal solution regarding maximum thickness distributions and minimum force and dimensional error. Hereafter, for performing accurate optimization, the principal component analysis was used to find the appropriate weight factor of each response. The obtained results were in right agreement with those derived from simulation and confirmatory experiment.

Keywords


[1] L.S. Bayoumi, A.S. Attia, Determination of the forming tool load in plastic shaping of a round tube into a square
tubular section. J Mater Process Technol 209(2009) 1835-1842.
[2] L.S. Bayoumi, Cold drawing of regular polygonal tubular sections from round tubes, Int J Mech Sci 43(2001) 241-
253.
[3] Y.M. Hwang, Y. Altan Finite element analysis of tube hydroforming processes in a rectangular die, Fini Ele in
Analys Des 39(2002)1071-1082.
[4] K. Manabe, M. Amino, Effects of process parameters and material properties on deformation process in tube
hydroforming. J Mater Process Technol 123(2002) 285-291.
[5] G.T. Kridli, L. Bao, P.K. Malliek, Y. Tian, Investigation of thickness variation and corner filling in tube
hydroforming, J Mater Process Technol 133(2003) 287-296.
[6] R. Bihamta, Q.H. Bui, M. Guillot, G. D’Amours, A. Rahem, M. Fafard, A new method for production of variable
thickness aluminium tubes: Numerical and experimental studies, Journal of Materials Processing Technology
211(2011) 578–589.
[7] D.K. Leu, J.Y. Wu, Finite element simulation of the squaring of circular tube, Int J Adv Manuf Technol 25(2005)
691-699.
[8] F.O. Neves, T. Buttons, C. Caminaga, F.C. Gentile, Numerical and experimental analysis of tube drawing with
fixed plug (2005).
[9] P. Karnezis, D.C.J. Farrugia, Study of cold tube drawing by finite-element modeling, Journal of Materials
Processing Technology 80(1998) 690–694.
[10] K. Yoshida, H. Furuya, Mandrel drawing and plug drawing of shape-memory-alloy fine tubes used in catheters
and stents, Journal of Materials Processing Technology, 153(2004) 145–150.
[11] M. Ghasemi-Baboly, M. Aminian, Z. Leseman, R. Teimouri, Application of soft computing techniques in
modeling and analysis of MRR and Taper in laser machining process as well as weld strength and weld width in
laser welding process. Soft Comput, DOI 101007/S00500-014-1305-x, (2104).
[12] Vazini Shayan, R. Azar Afza, R. Teimouri, Parametric study along with selection of optimal solutions in dry wire
cut machining of cemented tungsten carbide (WC-Co). J Manuf Proc 15(2013) 644-658.
[13] S. Parsa Khanghah, M. Bouzarpoor, M. Lotfi, R. Teimouri, Optimization of micro-milling parameters regarding
burr size minimization via RSM and simulated annealing algorithm. Transaction of the Indian Institute of Metal,
DOI 10.1007/s12666-015-0525-9.
[14] H. Sohrabpoor, S. Parsa Khanghah, R. Teimouri. Investigation of lubricant condition and machining parameters
while turning of AISI 4340. Int J Adv Manuf Technol. DOI 1 0.1007/s00170-014-6395-1, (2105).
[15] Y. Rostamiyan, A. Seidnaloo, H. Sohrabpoor, R. Teimouri, Experimental studies on ultrasonically assisted friction
stir spot welding of AA6061. Arch Civil Mech Eng. DOI: 10.1016/j.acme.2014.06.005.
[16] M. Ahmadnia, A. Seidanloo, R. Teimouri, Y. Rostamiyan, K.H. Tirtashi, Determining influence of ultrasonic
assisted friction stir welding parameters on mechanical and tribological properties of AA6061 joints. Int J Adv
Manuf Technol. DOI 1 0.1007/s00170-015-6784-0, (2015).
[17] M. Hosseinzadeh, M. Ghasempour Mouziraji, An analysis of tube drawing process used to produce squared
sections from round tubes through FE simulation and response surface methodology, The International Journal
of Advanced Manufacturing Technology 87.5-8 (2016) 2179-2194.
[18] M. Salehi, M. Hosseinzadeh, M. Elyasi, A study on optimal design of process parameters in tube drawing process
of rectangular parts by combining box–behnken design of experiment, response surface methodology and artificial
bee colony algorithm, Transactions of the Indian Institute of Metals 69.6 (2016) 1223-1235.
[19] Jafari, M., Lotfi, M., Ghaseminejad, P., Roodi, M., Teimouri, R. (2015). Numerical control and optimization of
springback in L-bending of magnesium alloy through FE analysis and artificial intelligence. Transactions of the
Indian Institute of Metals, 68(5), 969-979.