Skip to main content
Log in

Application of FEM simulation to AI V-bending process control

  • Published:
Metals and Materials Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

In this study, an artificial intelligent (AI) V-bending process control system with FEM simulation database was developed in order to achieve the production with high accuracy and flexibility. An adaptive filter was proposed to modify the simulated punch force-stroke curve (F-S curve) and to obtain the pseudo experimental one. The filtered simulation results are stored in the database and used to the V-bending process control with an intelligent process control system developed by the authors. The process controlled results show that the FEM simulation database with the compensation filter is very effective for the precision process control system. A high accurate V-bending process was achieved without the trial and error of V-bending tests.

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. A. Makiouchi,J. Materials Processing Technology 60, 19 (1996)

    Article  Google Scholar 

  2. M. Yang, N. Kojima, K. Manabe, H. Nishimura,JSME inter. J. Series C 1, 157 (1997).

    Google Scholar 

  3. M. Yang, K. Manabe, H. Nishimura,J. Materials Processing Technology 60, 249 (1996).

    Article  Google Scholar 

  4. M. Yang, N. Kojima, K. Manabe,Japan-U.S.A. symposium on flexible automation, p. 1243 (1994).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, M., Manabe, K. Application of FEM simulation to AI V-bending process control. Metals and Materials 4, 315–318 (1998). https://doi.org/10.1007/BF03187784

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF03187784

Key words

Navigation