Calculation of springback with considering of hardening laws in the cold roll forming process of the steel plate

Authors

1 Mech. Eng.,Tarbiat Modares Univ., Tehran, Iran

2 Academic staff

3 Tafresh university engineering faculty

Abstract

springback is one of the challenges in the final shape of the steel in the cold roll forming process of the steel plate.The precision of the simulation of metal sheet forming processes for prediction of the springback depends on the stress-strain relationship, the yield function and the selected hardening model and the anisotropy of the material. In this paper, using alternating tension-compression experiment and using simulation in software LS-OPT, the variables of the Yoshida-Uemori hardening model have been obtained for St37 steel. Springback in the final shape of steel plate deformation is a challenge of the roll forming process. Since consideration of the hardening law is important in the springback, various models of hardening law are proposed for more accurate prediction of material behavior. One of the most accurate models in predicting metal behavior is the Yoshida-Uemori hardening model. The experimental tests were also carried out as well as the simulations in the Ls-dyna simulation software with and without Yoshida-Umari hardening. It was shown that the prediction of springback with using the Yoshida-Umari model was more accurate.

Keywords


[1] Permeh M, Hosseinipour SJ, Jamshidi Aval H (2016) GTN damage model parameters for ductile fracture simulation in aluminum alloy 5083-O. Journal of Solid and Fluid Mechanics 6(1): 129-142.
[2] Dadgar Asl Y, Tajdari M, Moslemi Naeini H, Davoodi B, Azizi Tafti R, Panahizadeh Rahimloo V (2015) Prediction of required torque in cold roll forming process of a channel sections using artificial neural networks. Modares Mechanical Engineering 15(7): 209-214.
[3] Naofal J, Naeini HM, Mazdak S (2019) Effects of hardening model and variation of elastic modulus on springback prediction in roll forming. Metals 9(9): 1005.
[4] Chatti S, Fathallah R (2014) A study of the variations in elastic modulus and its effect on springback prediction. Int J Mater Form 7(1): 19-29.
[5] Panahizadeh V (2014) Theorical, numerical and experimental investigation of spring bach and Prediction of fracture on cold roll forming of channel section. Ph.D. Thesis, Tarbiat Modares University, Tehran.
[6]  Banabic D (2010) Sheet metal forming processes: constitutive modelling and numerical simulation. Springer Science & Business Media.
[7] Armstrong PJ, Frederick CO (1996) A mathematical representation of the multiaxial Bauschinger effect. GEGB Report RD/B/N731. Berkeley Nuclear Laboratories
[8] Chaboche JL (2008) A review of some plasticity and viscoplasticity constitutive theories. Int J Plasticity 24(10): 1642-1693.
[9] Wiskel JB, Rieder M, Henein H (2004) Kinematic behaviour of microalloyed steels under complex forming conditions. Can Metall Quart 43(1): 125-136.
[10] Zhang DJ, Cui ZS, Chen ZY, Ruan XY (2007) An analytical model for predicting sheet springback after V-bending. J Zhejiang Univ-Sc A 8(2): 237-244.
[11] Taherizadeh A, Ghaei A, Green DE, Altenhof WJ (2009) Finite element simulation of springback for a channel draw process with drawbead using different hardening models. Int J Mech Sci 51(4): 314-325.
[12] Lee MG, Kim JH, Kim D, Seo OS, Nguyen NT, Kim HY (2013). Anisotropic hardening of sheet metals at elevated temperature: Tension-compressions test development and validation. Exp Mech 53(6): 1039-1055.
[13] Liu YL, Zhu YX, Dong WQ, Yang H (2013) Springback prediction model considering the variable Young’s modulus for the bending rectangular 3A21 tube. J Mater Eng Perform 22(1): 9-16.
[14] Liu X, Cao J, Chai X, Liu J, Zhao R, Kong N (2017) Investigation of forming parameters on springback for ultra high strength steel considering Young’s modulus variation in cold roll forming. J Manuf Process 29: 289-297.
[15] Geng L, Wagoner RH (2002) Role of plastic anisotropy and its evolution on springback. Int J Mech Sci 44(1): 123-148.