Multistage Deep-Drawing with Alternating Blank Draw-in for Springback Reduction in Transfer and Progressive Dies

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Cold formed sheet metal parts made of advanced high-strength steels (AHSS) offer a high potential for a lightweight, durable and economic design. However, manufacturing dedicated, high-strength parts with cold forming technologies such as conventional deep-drawing often results in unacceptable shape deviations due to elastic springback after unloading the part from the forming tools. Therefore, various springback compensation methods have been established to ensure dimensional quality of such sheet metal parts. At the Institute for Metal Forming Technology (IFU Stuttgart), deep-drawing with alternating blank draw-in was developed in this context as a new approach to reduce springback and enhance cold forming of AHSS sheet metal parts. Presented work provides numerical sensitivity analysis as well as experimental studies about this new forming method. The asymmetric and alternating blank draw-in, which is changed within a multistage forming process sequence, results in an alternated bending over tool radii and leads to a beneficial stress superposition in the part wall area with reduced springback phenomena. Compared to conventional deep-drawn sheet metal components, springback of a benchmark part geometry could thus be reduced over 75 % by a three-stage forming process with an optimized blank draw-in kinematic.

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674-682

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July 2022

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[1] J. H. Schmitt and T. Iung, New developments of advanced high-strength steels for automotive applications,, Comptes Rendus Phys., vol. 19, p.641–656, (2018).

DOI: 10.1016/j.crhy.2018.11.004

Google Scholar

[2] N. Baluch, Z. Mohamed Udin and C. Sobry Abdullah, Advanced High Strength Steel in Auto Industry: an Overview,, Eng. Appl. Sci. Res., vol. 4, no. 4, p.686–689, (2014).

DOI: 10.48084/etasr.444

Google Scholar

[3] S. Konzack, R. Radonjic, M. Liewald and T. Altan, Prediction and reduction of springback in 3D hat shape forming of AHSS,, Procedia Manuf., vol. 15, p.660–667, (2018).

DOI: 10.1016/j.promfg.2018.07.296

Google Scholar

[4] J. Naofal, H. M. Naeini and S. Mazdak, Effects of hardening model and variation of elastic modulus on springback prediction in roll forming,, Metals (Basel)., vol. 9, no. 9, p.1–13, (2019).

DOI: 10.3390/met9091005

Google Scholar

[5] H. ul Hassan, F. Maqbool, A. Güner, A. Hartmaier, N. Ben Khalifa and A. E. Tekkaya, Springback prediction and reduction in deep drawing under influence of unloading modulus degradation,, Int. J. Mater. Form., vol. 9, no. 5, p.619–633, (2016).

DOI: 10.1007/s12289-015-1248-5

Google Scholar

[6] F. Yoshida and T. Uemori, A model of large-strain cyclic plasticity and its application to springback simulation,, Int. J. Mech. Sci., vol. 45, p.1687–1702, (2003).

DOI: 10.1016/j.ijmecsci.2003.10.013

Google Scholar

[7] S. Toros, Parameters Determination of Yoshida Uemori Model Through Optimization Process of Cyclic Tension-Compression Test and V-Bending Springback Abstract,, Lat. Am. J. Solids Struct., vol. 13, no. 10, p.1893–1911, (2016).

DOI: 10.1590/1679-78252916

Google Scholar

[8] R. Neugebauer et al., Press hardening - An innovative and challenging technology,, Arch. Civ. Mech. Eng., vol. 12, p.113–118, (2012).

Google Scholar

[9] M. Kibben, L. Bode and T. Flehmig, smartform ® by thyssenkrupp - Enhancement of production processes for a cost optimized cold forming of high strength steel", Conf. "New Dev. Sheet Met. Forming,, Stuttgart, p.87–96, (2018).

Google Scholar

[10] R. Radonjic and M. Liewald, Forming with alternating blank draw-in as a new approach for springback reduction,, 5th Int. Conf. Steels Cars Truck. Amsterdam, (2017).

DOI: 10.1016/j.promfg.2019.02.129

Google Scholar

[11] ISO 6892-1, Metallic materials - Tensile testing - Part 1: Method of test at room temperature,, German version DIN EN ISO 6892-1, (2020).

Google Scholar

[12] D. Briesenick, M. Liewald, R. Radonjic and C. Karadogan, Enhanced accuracy in springback prediction for multistage sheet metal forming processes,, WGP-Jahreskongress, Hambg., p.111–120, (2019).

DOI: 10.1007/978-3-662-60417-5_11

Google Scholar

[13] C. Lemieux, Monte Carlo and Quasi-Monte Carlo Sampling, Springer New York, (2009).

DOI: 10.1007/978-0-387-78165-5_5

Google Scholar

[14] D. Briesenick and M. Liewald, Rückfederungskompensation mittels Tiefziehens mit wechselseitigem Platineneinlauf,, EFB-Forschungsbericht Nr. 563, (2021).

Google Scholar