Application of Ant Colony Algorithm in Optimal Preform Design of Forging Process

Abstract:

For the forging with complex shape, the preform design is a difficult problem in the process and die design. It has an enormous influence on the quality of the forging. In this paper, combining with the FEM, the Ant Colony Algorithm was used for the preform optimization design. The general Ant Colony Algorithm was improved to fit for the multivariate continuous function optimization. The preform die shape was represented by B-spline and the coordinates of the control point of the B-spline were taken as the optimization design variables. The optimization program was developed. Finally, aimed to decrease the material cost of the forging, the preform optimization of a typical H-section forging was obtained using the self-developed program. The optimization results show that the improved Ant Colony Algorithm is suitable for the preform optimization design of forging.

• Periodical: Advanced Materials Research (Volume 1096)
• Pages: 292-296
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1096.292
• Online since: April 2015
• Authors: Xin Hai Zhao*, Jian Chang Bai, Guo Qun Zhao
• Keywords: Ant Colony Algorithm, Forging, Optimization, Preform Design

References

[1] S. Badrinarayanan, N. Zabaras, Sensitivity analysis for the optimal design of metal-forming process, Computer Methods. Applied Mech. Engng., 129 (1996) 319-348.

DOI: 10.1016/0045-7825(95)00859-4

[2] L. Fourment, J. L. Chenot, Optimal design for non-steady-state metal forming processes-Ⅰ. shape optimal design method, Int. J. Numer. Methods Engng., 39 (1996) 33-50.

DOI: 10.1002/(sici)1097-0207(19960115)39:1<33::aid-nme844>3.0.co;2-z

[3] L. Fourment, J. L. Chenot, Optimal design for non-steady-state metal forming processes-Ⅱ. application of shape optimization in forging, Int. J. Numer. Methods Engng., 39 (1996) 51-65.

DOI: 10.1002/(sici)1097-0207(19960115)39:1<51::aid-nme845>3.0.co;2-#

[4] G. Q. Zhao, E. Wright, et. al, Sensitivity analysis based preform die shape design for net-shape forging, Int. J. Numer. Meth Eng., 40 (1997)1213-1230.

DOI: 10.1002/(sici)1097-0207(19970415)40:7<1213::aid-nme110>3.0.co;2-h

[5] X.H. Zhao, G.Q. Zhao, G.C. Wang, T.H. Wang, Optimal preform die design through controlling deformation uniformity in metal forging ,J. Mater. Sci. & Technol., 22 (2006)273-278.

DOI: 10.3901/jme.2000.10.064

[6] Z.Y. Gao, R.V. Grandhi, Microstructure optimization in design of forging processes , Int. J. Mach. Tools & Manu., 40 (2000)691-711.

DOI: 10.1016/s0890-6955(99)00083-8

[7] C. F. Castro, C. A. Antonio and L. C. Sousa, Optimisation of shape and process parameters in metal forging using genetic algorithms, J. Mater. Proc. Technol. 146(2004)356-364.

DOI: 10.1016/j.jmatprotec.2003.11.027

[8] I. Doltsinis and T. Rodic, Process design and sensitivity analysis in metal forming, Int. J. Numer. Meth. Eng. , 45(1999)661-692.

DOI: 10.1002/(sici)1097-0207(19990630)45:6<661::aid-nme593>3.0.co;2-v

[9] R. P. Luo, H. Yao, Y. H. Peng and Y. Q. Zhang, Preform die shaped design optimization with micro genetic algorithm, Forging & Stamping Technology, 25(2000)52-55.

[10] J. Guan, G.C. Wang, T. Guo, et. al, The microstructure optimization of H-shape forgings based on preforming die design , Mater. Sci. and Enging. A, 499(2009)304-308.

DOI: 10.1016/j.msea.2007.11.144

[11] Y. H. Yang, D. Liu, Z. Y. He and Z. J. Luo, Method optimization of preform shapes by rsm and fem to improve deformation Homogeneity in Aerospace Forgings, Chinese Journal of Aeronautics, 23(2010)260-267.

DOI: 10.1016/s1000-9361(09)60214-4

[12] A. Colorni, M. Dorigo, V. Maniezzo, Distributed optimization by ant colonies. Proc 1st European confartificial life. (1991)134-142.

[13] Y. Wen, T. J. Wu, Dynamic window search of ant colony optimization of complex multi-stage decision problems. Proceedings of the 2003 IEEE International Conference on Systems, (2003) 4091-4097.

DOI: 10.1109/icsmc.2003.1245628