Flow stress optimization for 304 stainless steel under cold and warm compression by artificial neural network and genetic algorithm

Materials and Design

Volumn 28, Issue 2, 2007, Pages 609-615

  Mousavi Anijdan, S H ^a   Madaah Hosseini, H R ^a   Bahrami, A ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

304 stainless steel; Artificial neural network; Flow instability; Genetic algorithm

Indexed keywords

AGING OF MATERIALS; COMPRESSION TESTING; COMPRESSIVE STRESS; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; SHEAR DEFORMATION; STRAIN RATE;

COLD COMPRESSION; DYNAMIC STRAIN AGING; FLOW LOCALIZATION; VOID GENERATION; WARM COMPRESSION;

STAINLESS STEEL;

AGING OF MATERIALS; COMPRESSION TESTING; COMPRESSIVE STRESS; GENETIC ALGORITHMS; NEURAL NETWORKS; OPTIMIZATION; SHEAR DEFORMATION; STAINLESS STEEL; STRAIN RATE;

EID: 33750297779     PISSN: 02613069     EISSN: 18734197     Source Type: Journal    
DOI: 10.1016/j.matdes.2005.07.018     Document Type: Article

References (25)

1. Venugopal S., et al. Optimization of cold and warm workability in 304 stainless steel using instability maps. Metall Trans A 27A (1996) 119-126
2. Semiatin S.L., and Lahoti G.D. Deformation and unstable flow in hot forging of Ti-6Al-2Sn-4Zr-2Mo-0.1Si. Metall Trans A 12A (1981) 1705-1717 and 1719-1728
3. Semiatin S.L., et al. Plastic instability and flow localization in shear at high rates of deformation. Acta Metall 32 (1984) 1347-1354
4. Semiatin S.L., et al. Effect of deformation heating and strain rate sensitivity on flow localization during the torsion testing of 6061 aluminum. Acta Metall 34 (1986) 167-176
5. Ziegler H. Progress in solid mechanics vol. 4 (1983), Wiley, New York (NY) p. 93
6. Prasad Y.V.R.K., et al. Modeling of dynamic material behavior in hot deformation: forging of Ti-6242. Metall Trans A 15A (1984) 1883-1892
7. Prasad Y.V.R.K. Recent advances in the science of mechanical processing. Indian J Technol 28 (1990) 435
8. Calcaterra S., et al. Prediction of mechanical properties in spheroidal cast iron by neural networks. J Mater Process Technol 104 (2000) 74-80
9. Yescas M.A., et al. Estimation of the amount of retained austenite in austempered ductile irons using neural networks. Mater Sci Eng A 311 (2001) 162-173
10. Kong L.X., et al. Modelling the effect of carbon content on hot strength of steels using a modified artificial neural network. ISIJ Int 38 (1998) 1121-1129
11. Chien W.T., and Chou C.Y. The predictive model for mechinability of 304 stainless steel. J Mater Process Technol 118 (2001) 442-447
12. Song R.G., and Zhang Q.Z. Heat treatment for 7175 aluminium alloy by genetic algorithm. Mater Sci Eng C 17 (2001) 133-137
13. Chung J.S., and Hwang S.M. Application of a genetic algorithm to the optimal design of the die shape in extrusion. J Mater Process Technol 72 (1997) 69-77
14. Song R.G., et al. The application of artificial neural networks to the investigation of aging dynamics in 7175 aluminum alloys. Mater Sci Eng C 3 (1995) 39-41
15. Haykin S. Neural networks: a comprehensive foundation (1994), Macmillian College Publishing Company, New York
16. Zhang Z., and Friedrich K.J. Artificial neural networks applied to polymer composites: a review. Compos Sci Technol 63 (2003) 2029-2044
17. Lee S.C., Hwang W., Park H.C., and Han K.S. Failure of carbon/epoxy composite tubes under combined axial and torsional loading 1. Experimental results and prediction of biaxial strength by the use of neural networks. Compos Sci Technol 59 (1999) 1779-1788
18. Song R.G., and Zhang Q.Z. Heat treatment technique optimization for 7175 aluminum alloys by an artificial neural network and a genetic algorithm. J Mater Sci Technol 117 (2001) 84-88
19. Holland J.H. Adaptation in neural and artificial system (1975), Univ. of Michigan Press, Ann Abor (MI)
20. Fausett L. Fundamental of neural networks (1994), Prentice-Hall, New York
21. Aijun L., Hejun L., Kezhi L., and Zhengbing G. Applications of neural networks and genetic algorithms to CVI processes in carbon/carbon composites. Acta Mater 52 (2004) 299-305
22. Kulkarni A.J., et al. Microstructural optimization of alloys using a genetic algorithm. Mater Sci Eng A 372 (2004) 213-220
23. Heeker S.S., Stout M.G., Staudhammer K.P., and Smith J.L. Room-temperature plastic flow and strain-induced martensitic transformation in 1.2 wt% Ni metastable austenitic stainless steel sheets. Metall Trans A 13A (1982) 619-626
24. Stout M.G., and Follonsbee F.S. Strain rate sensitivity, strain hardening, and yield behavior of 304L stainless steel. J Eng Mater Technol Trans ASME 108 (1986) 344-353
25. Angel T. Formation of martensite in austenitic stainless steels. J Iron Steel Inst 177 (1954) 165-172