0
TECHNICAL PAPERS

Process Optimal Design in Forging by Genetic Algorithm

[+] Author and Article Information
J. S. Chung

Research Institute of Industrial Science and Technology (RIST), San 32, Hyoja-dong, Nam-gu, Pohang 790-784, Korea

S. M. Hwang

Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH), San 31, Hyoja-dong, Nam-gu, Pohang 790-784, Korea

J. Manuf. Sci. Eng 124(2), 397-408 (Apr 29, 2002) (12 pages) doi:10.1115/1.1406954 History: Received March 01, 1998; Revised December 01, 2000; Online April 29, 2002
Copyright © 2002 by ASME
Your Session has timed out. Please sign back in to continue.

References

Lee,  C. H., and Kobayashi,  S., 1973, “New Solutions to Rigid-plastic Deformation Problems Using a Matrix Method,” ASME J. Eng. Ind., 95, pp. 865–873.
Park,  J. J., Rebelo,  N., and Kobayashi,  S., 1983, “A New Approach to Preform Design in Metal Forming with the Finite Element Method,” Int. J. Mach. Tool Des. Res., 23, pp. 71–79.
Hwang,  S. M., and Kobayashi,  S., 1984, “Preform Design in Plane Strain Rolling by the Finite Element Method,” Int. J. Mach. Tool Des. Res., 24, pp. 253.
Hwang,  S. M., and Kobayashi,  S., 1986, “Preform Design in Disk Forging,” Int. J. Mach. Tool Des. Res., 26, pp. 231.
Hwang,  S. M., and Kobayashi,  S., 1987, “Preform Design in Shell Nosing at Elevated Temperatures,” Int. J. Mach. Tool Des. Res., 27, pp. 1.
Kang,  B. S., Kim,  N., and Kobayashi,  S., 1990, “Computer-Aided Preform Design in Forging of an Airfoil Section Blade,” Int. J. Mach. Tools Manuf., 30, pp. 43–52.
Grandhi,  R. V., Kumar,  A., Chaudhary,  A., and Malas,  J., 1993, “State-Space Representation of Optimal Control of Non-Linear Material Deformation Using the Finite Element Method,” Int. J. Numer. Methods Eng., 36, pp. 1967–1986.
Zhao,  G., Wright,  E., and Grandhi,  R. V., 1995, “Forging Preform Design with Shape Complexity Control in Simulating Backward Deformation,” Int. J. Mach. Tools Manuf., 35, pp. 1225–1239.
Han,  C. S., Grandhi,  R. V., and Srinivasan,  R., 1993, “Optimum Design of Forging Die Shapes Using Nonlinear Finite Element Analysis,” AIAA J., 31, pp. 774–781.
Berg, J. M., and Malas, J., 1995, “Open-Loop Control of a Hot Forming Process,” Proc. 5th Int. Conf. on Numer. Methods in Ind. Forming Processes, Ithaca, New York, pp. 539–544.
Kusak, J., and Thompson, E. G., 1989, “Optimization Techniques for Extrusion Die Shape Design,” Proc. 3rd Int. Conf. on Numer. Methods in Ind. Forming Processes, Fort Collins, Colorado, pp. 569–574.
Barinarayanan, S., and Zabaras, N., 1995, “Preform Design in Metal Forming,” Proc. 5th Int. Conf. on Numer. Methods in Ind. Forming Processes, Ithaca, New York, pp. 533–538.
Forment,  L., and Chenot,  J. L., 1996, “Optimal Design for Non-Steady State Metal Forming Processes—I. Shape Optimization Method,” Int. J. Numer. Methods Eng., 39, pp. 33–50.
Forment,  L., Balan,  T., and Chenot,  J. L., 1996, “Optimal Design for Non-Steady State Metal Forming Processes—II. Application of Shape Optimization in Forging,” Int. J. Numer. Methods Eng., 39, pp. 51–65.
Chung,  S. H., and Hwang,  S. M., 1998, “Optimal Process Design in Non-isothermal, Non-steady Forming by the Finite Element Method,” Int. J. Numer. Methods Eng., 42, pp. 1343–1390.
Joun,  M. S., and Hwang,  S. M., 1993, “Optimal Process Design in Steady-State Metal Forming by Finite Element Method-I. Theoretical Considerations,” Int. J. Mach. Tools Manuf., 33, pp. 51–61.
Joun,  M. S., and Hwang,  S. M., 1993, “Optimal Process Design in Steady-State Metal Forming by Finite Element Method-II. Application to Die Profile Design in Extrusion,” Int. J. Mach. Tools Manuf., 33, pp. 63–70.
Michaleris,  P. A., Tortorelli,  D. A., and Vidal,  C. A., 1994, “Tangent Operators and Design Sensitivity Formulations for Transient Non-linear Coupled Problems with Applications to Elastoplasticity,” Int. J. Num. Methods Eng., 37, pp. 2471–2499.
Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, Inc.
Roy,  S., Ghoshi,  S., and Shivpuri,  R., 1997, “A New Approach to Optimal Design of Multi-Stage Metal Forming Processes with Micro Genetic Algorithms,” Int. J. Mach. Tools Manuf., 37, pp. 29–44.
Rebelo,  N., and Kobayashi,  S., 1980, “A Coupled Analysis of Viscoplastic Deformation and Heat Transfer-II,” Int. J. Mech. Sci., 22, pp. 706–718.
Holland, J. H., 1975, Adaptation in Natural and Artificial Systems, University of Michigan Press, Ann Arbor.
Hollstein, R. B., 1971, “Artificial Genetic Adaptation in Computer Control System,” Doctorial Dissertation, University of Michigan.
Chung,  J. S., and Hwang,  S. M., 1998, “Application of a Genetic Algorithm to Process Optimal Design in Non-isothermal Metal Forming,” J. Mater. Process. Technol., 80, pp. 136–143.
Krishnakumar,  K., 1989, “Microgenetic Algorithms for Stationary and Nonstationary Functional Optimization,” SPIE Proceedings, 1196, pp. 289–296.
Chung,  J. S., and Hwang,  S. M., 1997, “Application of Genetic Algorithm to Die Shape Optimal Design in Extrusion,” J. Mater. Process. Technol., 72, No. 1, pp. 69–77.
Joun, M. S., Ryoo, S. R., and Hwang, S. M., 1995, “Application of a New Guide Grid Mesh Generation Technique to Automatic Finite Element Simulation of Plastic Deformation in Forging,” Proc. of the Fourth Inter. Conf. on Computational Plasticity, Barcelona, pp. 419–429.
Cheng,  H., Grandi,  R. V., and Malas,  J. C., 1994, “Design of Optimal Process Parameters for Non-isothermal Forging,” Int. J. Numer. Methods Eng., 37, pp. 155–177.

Figures

Grahic Jump Location
An integrated model for analysis of plastic deformation and heat transfer occurring in the tool-workpiece system during nonsteady forming
Grahic Jump Location
Modified micro genetic algorithm ([[ellipsis]] represents conventional micro genetic aqlgorithm)
Grahic Jump Location
Convergence characteristics of genetic algorithms. MGA=micro genetic algorithm, MMGA=modified micro genetic algorithm, SGA=simple genetic algorithm. Optimization was conducted under the following conditions: the number of sets in a generation=4, number of bits in a string=30, probability of mutation=0.02 for MMGA, 0.002 for SGA.
Grahic Jump Location
B-spline design model for die shape design
Grahic Jump Location
Process geometry for closed die forging of an axisymmetric product with an H shaped cross section, at the completion of forming
Grahic Jump Location
(a) convergence characteristics (b) evolution of the values of the design variables
Grahic Jump Location
Deformation behavior of the workpiece resulting from the optimal process
Grahic Jump Location
Process geometry for open die forging of an axisymmetric product with an H shaped cross section, at the completion of forming
Grahic Jump Location
(a) convergence characteristics (b) evolution of the values of the design variables
Grahic Jump Location
Temperature distributions at the completion of forming (a) forming with the optimal preforming operation (b) forming without the preforming operation

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In