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Parametric study of part dimensional variations due to spring-back effects in deep drawing: theory and experiment

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Abstract

Consistent part geometry and minimal part dimensional variations are among the greatest challenges in deep drawing operations. In this regard, spring-back is a phenomenon created when the residual energy generated during this forming process causes some changes from desired part dimensions when released from the tooling system. There are many parameters affecting spring-back which can generally be classified as design parameters, material properties, and process variables. This paper reports on experimental results obtained from a test setup and their comparison with simulation studies of these processes. The results are part of a broader comprehensive analysis of deep drawing and study of possible real-time control of the process, to minimize final part dimensional variations. It reports on experimental and simulation results of the data and deals with identifying the relative importance of process parameters and their contribution to spring-back. In this regard, an experimental setup is designed and developed for utilization in this study. Design of experiment (DoE) is used as a tool to analyze the data, and those results are reported in this paper.

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References

  1. Ramesh G, Reddy GCM (2013) Analysis of optimization of blank holding force in deep drawing by using LS DYNA. Int J Eng Res Appl (IJERA) 3(4):1975–1995

    Google Scholar 

  2. Wifi AS, Abdelmaguid TF, El-Ghandour AI (2014) A review of the optimization techniques applied to the deep drawing process. In: Proceedings of the 37th International Conference on Computers and Industrial Engineering, pp 1111–1121

    Google Scholar 

  3. Livatyali H, Altan T (2001) Prediction and elimination of springback in straight flanging using computer aided design methods: part 1. Experimental investigations. J Mater Process Technol 117(1-2):262–268

    Article  Google Scholar 

  4. Meinders T, Konter A, Meijers S, Atzema E, Kappert H (2006) A sensitivity analysis on the springback behaviour of the unconstrained bending problem. Int J Mater Form 9(3):365–402

    Google Scholar 

  5. Liu G, Lin Z, Bao Y (2002) Improving dimensional accuracy of a u-shaped part through an orthogonal design experiment. Finite Elem Anal Des 39:107–118

    Article  MATH  Google Scholar 

  6. Khairnar YS, Deshmukh D, Dhembre K, Sawant G, Bhosale A (2018) Review on optimization of process parameter in square shaped components in deep drawing process. IOSR J MECH:30–34

  7. Gharib H, Wifi AS, Younan M, Nassef A (2006) Optimization of the blank holder force in cup drawing. J Achiev Mater Manuf Eng 18(1-2):291–294

    Google Scholar 

  8. Wifi A, Mosallam A (2007) Some aspects of blank-holder force schemes in deep drawing process. J Achiev Mater Manuf Eng 24(1):315–323

    Google Scholar 

  9. Demeri MY, Lou M, M. J. (2000) Saran A benchmark test for springback simulation in sheet metal forming. Society of Automotive Engineers, Inc

    Google Scholar 

  10. Xia ZC, Miller CE, Lou M, Shi MF, Konieczny A, Chen XM, Gnaeupel-Herold T (2005) A benchmark test for springback: experimental procedures and results of a split-ring test. SAE Technical Paper 2005-01-0083

  11. Reddy RV, Reddy TJ, Reddy G (2012) Effect of various parameters on the wrinkling in deep drawing cylindrical cups. Int J Eng Technol 3(1):53–58

    Google Scholar 

  12. Păunoiu V, Nicoară D (2013) Simulation of friction phenomenon in deep drawing process. National Tribology Conference:407–412

  13. Karupannasamy D, Hol J, de Rooij M, Meinders T, Schipper D (2012) Modelling mixed lubrication for deep drawing processes. Wear 294–295:296–304

    Article  Google Scholar 

  14. Abedrabbo N, Zampaloni M (2005) Wrinkling control in aluminum sheet hydroforming. Int J Mech Sci 47:333–358

    Article  Google Scholar 

  15. Westeneng A (2001) Modelling of contact and friction in deep drawing processes," Phd Thesis. University of Twente

    Google Scholar 

  16. Padmanabhana R, Oliveiraa M, Alvesb J (2007) Influence of process parameters on the deep drawing of stainless steel. Finite Elem Anal Des 43:1062–1067

    Article  Google Scholar 

  17. Colgan M, Monaghan J (2003) Deep drawing process: analysis and experiment. J Mater Process Technol 132(1-3):35–41

    Article  Google Scholar 

  18. Boher C, Attaf D, Penazzi L, Levaillant C (2005) Wear behaviour on the radius portion of a die in deep-drawing: identification, localization and evolution of the surface damage. Wear 259(7-12):1097–1108

    Article  Google Scholar 

  19. Gowtham K, Srikanth KN, Murt K (2012) Simulation of the effect of die radius on deep drawing processes. Int J Appl Res Mech Eng 2(1):12–17

    Google Scholar 

  20. Huang Y-M, Chen J-W (1995) Influence of the die arc on formability in cylindrical cup-drawing. J Mater Process Technol 55(3-4):360–369

    Article  Google Scholar 

  21. Reddy AC (2015) Homogenization and parametric consequence of warm deep drawing process for 1050A aluminum alloy: validation through FEA. Int J Sci Res 4(4):2034–2042

    Google Scholar 

  22. Eshel G, Barash M, Johnson W (1986) Rule based modeling for planning axisymmetrical deep drawing. J Mech Work Technol 14(1):1–115

    Article  Google Scholar 

  23. Dejmal I, Tirosh J, Shirizly A, Rubinsky L (2002) On the optimal die curvature in deep drawing processes. Int J Mech Sci 44:1245–1258

    Article  MATH  Google Scholar 

  24. Hazek V, Lang K (1979) "Use of slip line field method in deep drawing of large irregular shaped components," in Seventh NAMRC 

    Google Scholar 

  25. Chen X, Sowerby R (1992) The development of ideal blank shapes by the method of plane stress characteristics. Int J Mech Sci:159–166

  26. Sowerby R, Duncan J, Chu E (1986) The modeling of sheet metal stamping. Int J Mech Sci 28:415–430

    Article  Google Scholar 

  27. Hammami W, Padmanabhan R, Oliveira MC, BelHadjSalah H, Alves JL, Menezes LF (2009) A deformation based blank design method for formed parts. Int J Mech Mater Des 5:303–314

    Article  Google Scholar 

  28. Baptistaa A, Alvesb J, Rodriguesa D, Menezes L (2006) Trimming of 3D solid finite element meshes using parametric surfaces: application to sheet metal forming. Finite Elem Anal Des 42:1053–1060

    Article  Google Scholar 

  29. Kim J-Y, KimMan N, Huh M-S (2000) Optimum blank design of an automobile sub-frame. J Mater Process Technol 101(1):31–43

    Article  Google Scholar 

  30. Kuwabara T, Si WH (1997) PC-based blank design system for deep-drawing irregularly shaped prismatic shells with arbitrarily shaped flange. J Mater Process Technol 63:89–94

    Article  Google Scholar 

  31. Reddy RV, Reddy TAJ, Reddy G (2012) Optimization of blank holder force to control wrinkling and fracture of cylindrical cups in deep drawing. Int J Curr Trends Eng Technol 3(5):669–676

    Google Scholar 

  32. Darmawan AS, Anggono AD, Hamid A (2018) Die design optimization on sheet metal forming with considering the phenomenon of springback to improve product quality. MATEC Web Conf 154:1–4

    Article  Google Scholar 

  33. Rao B, Reddy PR, Reddy GCM, Rao GKM (2012) Optimization of blank holding force in deep drawing of cylindrical cups using Taguchi approach. Int J Eng Innov Technol 2(3):143–148

    Google Scholar 

  34. Özdilli Ö (2020) An investigation of the effect of sheet material type and thickness selection on formability in the production of the engine oil pan with the deep drawing method. Int J Automot Sci Technol 4(4):198–205

    Article  Google Scholar 

  35. Said RWM, Mehrabi MG, (2020) Parametric study of spring-back effects in deep drawing by design of experiment. SAE Technical Paper 2020-01-0750. https://doi.org/10.4271/2020-01-0750 Detroit 14 Apr 2020

  36. Said RWM, Mehrabi MG (2021)"Analysis of springback effects in deep drawing processes: simulation and experimental studies," SAE Technical Paper 2021-01-0268, 202. 10.4271/2021 Detroit 06 Apr

  37. Said RWM (2022) Active control of springback effects in deep drawing processes: theory and experiment. PhD Dissertation,. University of Detroit Mercy, Detroit, USA

    Google Scholar 

  38. Said RWM, Mehrabi MG, (2022) An experimental and simulation of active control of springback effects in deep drawing processes. SAE Technical Paper 2022-01- 0240. https://doi.org/10.4271/2022-01-0240

  39. Singh CP, Agnihotri G (2015) Study of deep drawing process parameters: a review. Int J Sci Res 5(2):1–14

    Google Scholar 

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Detroit Mercy, Detroit, MI, USA

    Ramzi Wanis Said & Mostafa Mehrabi

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  1. Ramzi Wanis Said
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  2. Mostafa Mehrabi
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Both authors contributed to the study conception, design, material preparation, data collection, and analysis. The first draft of the manuscript was written by both authors.

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Correspondence to Mostafa Mehrabi.

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Appendix

Appendix

Table 3 Comparison of experimental and simulation data
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Said, R.W., Mehrabi, M. Parametric study of part dimensional variations due to spring-back effects in deep drawing: theory and experiment. Int J Adv Manuf Technol 127, 5171–5183 (2023). https://doi.org/10.1007/s00170-023-11785-4

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