Influence of the rolling direction on ductile damage during deep drawing of dual-phase steel

Influence of the rolling direction on ductile damage during deep drawing of dual-phase steel


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Abstract. The spatial distribution as well as the amount of the accumulated damage within a component significantly affects its performance in terms of fatigue and crash behavior. One effective approach to control the amount of the accumulated damage is through precise adjustments of process parameters and setup. This paper explored the impact of sheet metal alignment with respect to the forming tools relative to the rolling direction of cold rolling on damage accumulation in sheet metal during deep drawing of a rectangular cup and a U-profile. Firstly, numerical analysis was performed to evaluate the load paths in form of stress and strain states that occur during deep drawing. Subsequently, experimental investigations were conducted to examine the effect of different alignments of the sheet metal with respect to the rolling direction on ductile damage. Therefore, the damage accumulation in the form of void area fraction in workpiece areas that are critical to performance was quantified and compared. Overall, the results have shown that the damage accumulation in form of void area fractions is dependent on the alignment of the sheet metal with respect to the rolling direction. The void area fraction of the rectangular cup could be reduced by 22.4% when considering a sheet metal that is aligned with the rolling direction parallel to the longest, straight sides of the geometry instead of a perpendicular orientation. For the U profile it was demonstrated that a 45° orientation of the rolling direction to the bending radius leads to the lowest damage accumulation reducing it by 50.38% compared to a 0°-orientation.

Damage, Deep Drawing, Dual Phase Steel

Published online 4/24/2024, 8 pages
Copyright © 2024 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: MÜLLER Martina, WOLLENWEBER Maximilian A., MEDGHALCHI Setareh, HERRIG Tim, BERGS Thomas, Influence of the rolling direction on ductile damage during deep drawing of dual-phase steel, Materials Research Proceedings, Vol. 41, pp 940-947, 2024


The article was published as article 103 of the book Material Forming

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[1] Information on
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[3] Information on
[4] T. R. Bieler, P. Eisenlohr, F. Roters, D. Kumar, D. E. Mason, M. A. Crimp, and D. Raabe, The role of heterogeneous deformation on damage nucleation at grain boundaries in single phase metals. International Journal of Plasticity, 9 (2009) 1655–1683.
[5] M. Müller, I. F. Weiser, T. Herrig, and T. Bergs, Numerical Prediction of the Influence of Process Parameters and Process Set-Up on Damage Evolution during Deep Drawing of Rectangular Cups. Engineering Proceedings, 6 (2022) 1-10.
[6] A. E. Tekkaya, P.-O. Bouchard, S. Bruschi, and C. C. Tasan, Damage in metal forming. CIRP Annals, 2 (2020) 600–623.
[7] F. A. McClintock, A Criterion for Ductile Fracture by the Growth of Holes. Journal of Applied Mechanics, 2 (1968) 363–371.
[8] P. R. Tiwari, A. Rathore, and M. G. Bodkhe, Factors affecting the deep drawing process – A review. Materials Today: Proceedings (2022) 2902–2908.
[9] K. Chen, A. J. Carter, and Y. P. Korkolis, Flange Wrinkling in Deep-Drawing: Experiments, Simulations and a Reduced-Order Model. JMMP, 4 (2022).
[10] P. Preedawiphat, P. Koowattanasuchat, N. Mahayotsanun, and S. Mahabunphachai, Sheet thinning prediction method based on localized friction effect in deep-drawing. Advances in Mechanical Engineering, 9 (2020).
[11] U. Durmaz, S. Heibel, T. Schweiker, A. Prabhakar, and M. Merklein, Influence of the forming process on springback. IOP Conf. Ser.: Mater. Sci. Eng., 1 (2022).
[12] N. Nanu and G. Brabie, Analytical model for prediction of springback parameters in the case of U stretch–bending process as a function of stresses distribution in the sheet thickness. International Journal of Mechanical Sciences, 1 (2012) 11–21.
[13] M. Nick, A. Feuerhack, T.Bergs and T. Clausmeyer, Numerical Investigation of Damage in Single-step, Two-step, and Reverse Deep Drawing of Rotationally Symmetric Cups from DP800 Dual Phase Steel. Procedia Manufacturing, 47 (2020) 636-642.
[14] T. Bergs. M. Nick, D. Trauth, and F. Klocke, Damage Evolution in Nakajima Tests of DP800 Dual Phase Steel. Materials and Science Engineering, 418 (2018).
[15] C. Kusche, T. Reclik, M. Freund, T. Al-Samman, U. Kerzel, and S. Korte-Kerzel, Large-area, high-resolution characterisation and classification of damage mechanisms in dual-phase steel using deep learning. PloS one, 5 (2019).
[16] S. Medghalchi, C. F. Kusche, E. Karimi, U. Kerzel, and S. Korte-Kerzel, Damage Analysis in Dual-Phase Steel Using Deep Learning: Transfer from Uniaxial to Biaxial Straining Conditions by Image Data Augmentation. JOM, 12 (2020) 4420–4430.
[17] J. Lemaitre, A Continuous Damage Mechanics Model for Ductile Fracture. Journal of Engineering Materials and Technology, 1 (1985) 83–89.
[18] L. Sprave, A. Schowtjak, R. Meya, T. Clausmeyer, A. E. Tekkaya, and A. Menzel, On mesh dependencies in finite-element-based damage prediction: application to sheet metal bending. Prod. Eng. Res. Devel., 1 (2020) 123–134.