Skip to main content
Log in

Study on springback in micro V-bending with consideration of grain heterogeneity

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

With the new development of microforming technology, the demand on the accuracy of the metallic microcomponents is elevating. Springback phenomenon is inevitable during sheet metal forming process and can cause unpredicted dimensional error. The previous research found that the springback value in microforming is difficult to be assessed as the sizes of tools and specimens downsize hundreds even thousands times. This paper focuses on improving the prediction accuracy of springback during micro V-bending. A finite element (FE) model of the micro V-bending has been established via ABAQUS/Standard commercial software where the specimen’s microstructure is represented by Voronoi tessellations. With the consideration of the grain heterogeneity, each Voronoi tessellation has been employed with different grain mechanical properties based on experimental results. Corresponding micro V-bending tests have been carried out, and a good agreement between the experimental and simulation results indicates that the developed FE model can accurately predict springback in micro V-bending.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Vollertsen F, Schulze Niehoff H, Hu Z (2006) State of the art in micro forming. Int J Mach Tools Manuf 46(11):1172–1179

    Article  Google Scholar 

  2. Vollertsen F, Biermann D, Hansen HN, Jawahir I, Kuzman K (2009) Size effects in manufacturing of metallic components. CIRP Ann-Manuf Technol 58(2):566–587

    Article  Google Scholar 

  3. Engel U, Eckstein R (2002) Microforming—from basic research to its realization. J Mater Process Technol 125:35–44

    Article  Google Scholar 

  4. Geiger M, Kleiner M, Eckstein R, Tiesler N, Engel U (2001) Microforming. CIRP Ann-Manuf Technol 50(2):445–462

    Article  Google Scholar 

  5. Tekıner Z (2004) An experimental study on the examination of springback of sheet metals with several thicknesses and properties in bending dies. J Mater Process Technol 145(1):109–117

    Article  Google Scholar 

  6. Zhang L, Lu G, Leong S (1997) V-shaped sheet forming by deformable punches. J Mater Process Technol 63(1):134–139

    Article  Google Scholar 

  7. Li X, Yang Y, Wang Y, Bao J, Li S (2002) Effect of the material-hardening mode on the springback simulation accuracy of V-free bending. J Mater Process Technol 123(2):209–211

    Article  Google Scholar 

  8. Gau J-T, Principe C, Yu M (2007) Springback behavior of brass in micro sheet forming. J Mater Process Technol 191(1):7–10

    Article  Google Scholar 

  9. Liu J, Fu M, Lu J, Chan W (2011) Influence of size effect on the springback of sheet metal foils in micro-bending. Comput Mater Sci 50(9):2604–2614

    Article  Google Scholar 

  10. Chan W, Fu M, Lu J, Liu J (2010) Modeling of grain size effect on micro deformation behavior in micro-forming of pure copper. Mater Sci Eng A 527(24):6638–6648

    Article  Google Scholar 

  11. Lu H, Wei D, Jiang Z, Liu X, Manabe K (2013) Modelling of size effects in microforming process with consideration of grained heterogeneity. Comput Mater Sci 77:44–52

    Article  Google Scholar 

  12. Diard O, Leclercq S, Rousselier G, Cailletaud G (2005) Evaluation of finite element based analysis of 3D multicrystalline aggregates plasticity: application to crystal plasticity model identification and the study of stress and strain fields near grain boundaries. Int J Plast 21(4):691–722

    Article  MATH  Google Scholar 

  13. Aurenhammer F (1991) Voronoi diagrams—a survey of a fundamental geometric data structure. ACM Comput Surv 23(3):345–405

    Article  Google Scholar 

  14. Okabe A, Boots B, Sugihara K, Chiu SN (2009) Spatial tessellations: concepts and applications of Voronoi diagrams, vol 501. Wiley, Chichester

  15. Schiøtz J, Di Tolla FD, Jacobsen KW (1998) Softening of nanocrystalline metals at very small grain sizes. Nature 391(6667):561–563

    Article  Google Scholar 

  16. Fan Z, Wu Y, Zhao X, Lu Y (2004) Simulation of polycrystalline structure with Voronoi diagram in Laguerre geometry based on random closed packing of spheres. Comput Mater Sci 29(3):301–308

    Article  Google Scholar 

  17. Simonovski I, Cizelj L (2011) Automatic parallel generation of finite element meshes for complex spatial structures. Comput Mater Sci 50(5):1606–1618

    Article  Google Scholar 

  18. Cochran WG (1968) Errors of measurement in statistics. Technometrics 10(4):637–666

    Article  MATH  Google Scholar 

  19. Barford NC (1985) Experimental measurements: precision, error and truth, 2nd ed. Wiley, Chichester

  20. Hibbett, Karlsson, Sorensen (2001) ABAQUS/standard: User's manual, vol 1. Hibbitt, Karlsson & Sorensen, Providence

  21. Hansen N (1985) Polycrystalline strengthening. Metall Trans A 16(12):2167–2190

    Article  Google Scholar 

  22. Li K, Carden W, Wagoner R (2002) Simulation of springback. Int J Mech Sci 44(1):103–122

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhi Fang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fang, Z., Jiang, Z., Wei, D. et al. Study on springback in micro V-bending with consideration of grain heterogeneity. Int J Adv Manuf Technol 78, 1075–1085 (2015). https://doi.org/10.1007/s00170-014-6697-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-014-6697-3

Keywords

Navigation