Skip to main content
Log in

Optimization of a sheet metal forming process using successive multipoint approximations

  • Research Papers
  • Published:
Structural optimization Aims and scope Submit manuscript

Abstract

An automated optimization method based on multipoint approximations and applied to the design of a sheet metal forming process is presented. Due to the highly complex nature of the design functions, it was decided to focus on the characterization of the final product thickness distribution as a function of the preforming die shape variables. This was achieved by constructing linear approximations to the noisy responses usingresponse surface methodology (RSM). These approximations are used to obtain an approximate solution to an optimization problem. Successive approximations are constructed, which improve the solution. An automated panning-zooming scheme is used to resize and position the successive regions of approximation. The methodology is applied to optimally design the preforming die shape used in the manufacture of an automotive wheel centre pressing from a sheet metal blank. The die shape is based on a cubic spline interpolation and the objective is to minimize the blank weight, subject to minimum thickness constraints. A weight saving of up to 9.4% could be realized for four shape variables. Restart is introduced to escape local minima due to the presence of noise and to accelerate the progress of the optimization process.

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

  • Antúnez, H.J. and Kleiber, M. 1996a: Sensitivity analysis of metal forming processes involving frictional contact in steady state.J. Materials Processing Tech. 60, 485–491

    Google Scholar 

  • Antúnez, H.J. and Kleiber, M. 1996b: Sensitivity of forming processes to shape parameters.Comp. Meth. Appl. Mech. Engng. 137, 189–206

    Google Scholar 

  • Arora, J.S. 1989:IDESIGN User's Manual Version 3.5.2, Optimal Design Laboratory, College of Engineering, The University of Iowa

  • Badrinarayanan, S.; Zabaras, N. 1996: A sensitivity analysis for the optimal design of metal-forming processes.Comp. Meth. Appl. Mech. Engrg. 129, 319–348

    Google Scholar 

  • Balagangadhar, D.; Tortorelli, D.A. 1997: A steady displacement-based formulation for the analysis and design of large deformation continuous elastoplastic manufacturing processes.Proc. 1997 Joint ASME/ASCE/SES Summer Meeting McMU'97 Symp. on Design Optimization with Application to the Industry

  • Cheng, H.; Grandhi, R.V.; Malas, J.C. 1994: Design of optimal process parameters for non-isothermal forging.Int. J. Num. Meth. Engrg.,37, 155–177

    Google Scholar 

  • Dang Van, K.; Griveau, B.; Message, O. 1989: On a new multiaxial fatigue limit criterion: theory and application. London:Mechanical Engineering Publications

    Google Scholar 

  • Etman, L.F.P.; Adriaens, J.M.T.A.; Van Slagmaat, M.T.P.; Schoofs, A.J.G. 1996: Crash worthiness design optimization using multipoint sequential linear programming.Struct. Optim. 12, 222–228

    Google Scholar 

  • Etman, L.F.P. 1997:Optimization of multibody systems using approximation concepts. Doctoral Thesis, Technical University of Eindhoven

  • Fourment, L.; Balan, T.; Chenot, J.L. 1996: Optimal design for non-steady-state metal forming processes—II. Application of shape optimization in forging.Int. J. Numer. Meth. Engrg. 39, 51–65

    Google Scholar 

  • Giunta, A.A.; Dudley, J.M.; Narducci, R.; Grossman, B.; Haftka, R.T.; Mason, W.H.; Watson, L.T. 1994: Noisy aerodynamic response and smooth approximations in HSCT design.Proc. AIAA/USAF/NASA/ISSMO Symp. on Multidisciplinary Analysis and Optimization (held in Panama City Beach, FL)

  • Grandhi, R.V.; Kumar, A.; Chaudhary, A.; Malas, J.C. 1993: State-space representation and optimal control of non-linear material deformation using the finite element method.Int. J. Numer. Meth. Engrg. 36, 1967–1986

    Google Scholar 

  • Grandhi, R.V.; Thiagarajan, R. 1994: Model reduction and process control of thermomechanical behaviour of non-linear material deformation.Int. J. Numer. Meth. Engrg. 37, 3135–3152

    Google Scholar 

  • Han, C.S.; Grandhi, R.V.; Srinivasan, R. 1993: Optimum design of forging die shapes using nonlinear finite element analysis.AIAA J. 31, 774–781

    Google Scholar 

  • Hibbitt, Karlsson & Sorenson, Inc. 1996:ABAQUS/Explicit user's manual, Version 5.6. Pawtucket, RI

  • Hibon, G.; Marron, G.; Patou, P. 1996: Light car wheels in high strength steel.Proc. 19-th biennial IDDRG Cong. (held in Eger, Germany)

  • Kleiber, M.; Hien, T.D.; Antúnez, H.; Kowalczyk, P. 1995: Parameter sensitivity of elastoplastic response.Eng. Computations 12, 263–280

    Google Scholar 

  • Kok, S.; Stander, N.; Roux, W.J. 1998: Thermal optimization in transient thermoelasticity using response surface approximations.Int. J. Numer. Meth. Engrg. 43, 1–21

    Google Scholar 

  • Kopp, R. 1996: Some current development trends in metalforming technology.J. Materials Processing Tech. 60, 1–9

    Google Scholar 

  • Maniatty, A.M.; Chen, M. 1996: Shape sensitivity analysis for steady metal-forming processes.Int. J. Numer. Meth. Engrg. 39, 1199–1217

    Google Scholar 

  • Marciniak, Z.; Duncan, J.L. 1992:Mechanics of sheet metal forming. Edward Arnold

  • Myers, R.H.; Montgomery, D.C. 1995:Response surface methodology: process and product optimization using designed experiments. New York: John Wiley & Sons Inc.

    Google Scholar 

  • Ohata, T.; Nakamura, Y.; Katayama, T.; Nakamachi, E.; Nakano, K. 1996: Development of optimum process design system by numerical simulation.J. Materials Processing Tech. 60, 543–548

    Google Scholar 

  • Roux, W.J.; Stander, N.; Haftka, R.T. 1996: Response surface approximations for structural optimization.Proc. 6-th AIAA/NASA/ISSMO Symp. on Multidisciplinary Analysis and Optimization (held in Bellevue, WA)

  • Roux, W.J.; du Preez, R.J.; Stander, N. 1997: The design optimization of a semi-solid tyre using response surface approximations.Engineering Computations 16, 165–184

    Google Scholar 

  • Roy, S.; Ghoshi, S.; Shivpuri, R. 1997: A new approach to optimal design of multi-stage metal forming processes with micro genetic algorithms.Int. J. Mach. Tools & Manufacture 37, 29–44

    Google Scholar 

  • Saayman, P.J.; Kok, S.; Roux, W.J.; Stander, N.; Snyman, J.A. 1998: An adaptive successive multipoint approximation method for structural optimization (submitted)

  • Kleiber, M.; Sosnowski, W. 1995: Parameter sensitivity analysis in frictional contact problems of sheet metal forming.Computational Mech. 16, 297–306

    Google Scholar 

  • Teracher, P.; Marron, G. 1994: Application of high-strength hot rolled steels in wheels.Proc. Symp. on High-Strength Sheet Steels for the Automotive Industry (held in Baltimore, MD)

  • Venter, G.; Haftka, R.T.; Starnes, H.S. 1996: Construction of response surfaces for design optimization applications.Proc. 6-th AIAA/NASA/ISSMO Symp. on Multidisciplinary Analysis and Optimization (held in Bellevue, WA)

  • Wright, E.; Grandhi, R.V. 1997: A shape optimization technique for controlling deformation parameters in forging.Proc. 38-th AIAA/ASME/ASCE/AHS Structures, Structural Dynamics and Materials Conf., pp. 1250–1257

  • Yamazaki, K.; Han, J.; Ishikawa, H.; Kuroiwa, Y. 1997: Maximization of crushing energy absorption of cylindrical shells — simulation and experiment.Proc. OPTI97 Conf. (held in Rome, Italy)

  • Zhao, G.; Wright, E.; Grandhi, R.V. 1996: Computer aided preform design in forging using the inverse die contact tracking method.Int. J. Mach. Tools & Manufacture 36, 755–761

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kok, S., Stander, N. Optimization of a sheet metal forming process using successive multipoint approximations. Structural Optimization 18, 277–295 (1999). https://doi.org/10.1007/BF01223312

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01223312

Keywords

Navigation