Skip to main content
SpringerLink
Log in

Determining the optimum variable blank-holder forces using adaptive response surface methodology (ARSM)

  • Original Article
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Wrinkling and fracture are main defects in sheet-metal forming. They can be reduced or eliminated by manipulating a suitable blank-holder force (BHF). But it is difficult to attain the optimum BHF during sheet-metal forming. In this article, a new optimization algorithm integrating the finite element method (FEM) and adaptive response surface methodology $(r)ARSM$(c) is presented to determinate the optimum BHF. To assure convergence, the trust region modes management strategies are used to adjust the move limit of design spaces. Finally, the optimum results of rectangular box deep drawing are given. Experiments are performed to verify the optimal result.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Obermeyers J, Majlessi AS (1998) A review of recent advances in the application of blank-holder force towards improving the forming limits of sheet metal parts. J Materials Proc Technol 75

  2. Huh H, Kim SH (2001) Optimum process design in sheet-metal forming with finite element analysis. Trans ASME VOL 123

  3. Se-Ho K, et al. (2002) BHF control algorithm with the design sensitivity analysis for the improvement of the deep drawn product. Numisheet, Jeju Island, Korea

  4. Matthias H, et al. (1999) Optimization of sheet metal forming processes using simulation programs. Numisheet, Besancon, France

  5. Subir R, et al. (2002) An automated and flexible approach to optimal design of shape and process variables for stamping parts. Numisheet, Jeju Island, Korea

  6. Gonda H, Neddermeijer, et al. A framework for response surface methodology for simulation optimization. Econometeris institution reports EI2000-14/A

  7. Perez VM, et al. (2002) An interior point sequential approximate optimization methodology. Am Inst Aeronaut Astronaut

  8. Rodrguez JF, et al. (2000) Trust region model management in multidisciplinary design optimization. J Comput Appl Math 124:139–154

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai, 200030, China

    S. Chengzhi, C. Guanlong & L. Zhongqin

Authors
  1. S. Chengzhi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. C. Guanlong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. L. Zhongqin
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Chengzhi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chengzhi, S., Guanlong, C. & Zhongqin, L. Determining the optimum variable blank-holder forces using adaptive response surface methodology (ARSM). Int J Adv Manuf Technol 26, 23–29 (2005). https://doi.org/10.1007/s00170-003-1979-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-003-1979-1

Keywords

Search

Navigation