A New Method Based on Interation Algorithm to Extract Parameters of Constitutive Equations

Article Preview

Abstract:

These methods that extract parameters of constitutive equations can be divided into three groups: direct search-based strategies, gradient-based methods and evolutionary algorithms. By analyzing these strategies, a new method based on iteration algorithm was proposed. To obtain parameters of JC and ZA model for Ti-6Al-4V, the error between prediction data and SHPB experiment data was set as objective function, then initial value was calculated using iteration algorithm. The effect of convergence rate and precision at various steps and experiment data was invested. The main advantage of the method are as follows:fast calculation; compatible with SHPB data and orthogonal cutting data; compatible with the decoupling and coupling constitutive equations. Finally, it has shown that the algorithm is stable, and acceptable results can be obtained.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

505-510

Citation:

Online since:

January 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] GORDON R J , WILLIAM H C. A constitutive model and data for metals subjected to large strains high strain rates and high temperatures[J]. Proceedings of the Seventh Intional Symposium on Ballistics , The hague, The Netherlands , 1983, April 19-21: 541~547.

Google Scholar

[2] SHI J, LIU C R. The influence of material models on finite element simulation of machining[J]. Journal of Manufacturing Science and Engineering. 2004, 126 : 849~857.

DOI: 10.1115/1.1813473

Google Scholar

[3] LIANG R, KHAN A S. A critical review of experimental results and constitutive models for BCC and FCC metals over a wide range of strain rates and temperatures [J]. International Journal of Plasticity. 1999, 15: 963~980.

DOI: 10.1016/s0749-6419(99)00021-2

Google Scholar

[4] HOPKINSON B. A method of measuring the pressure produced in the deformation of high explosives or by the impact of bullets [J]. Phil. Trans. Roy. Soc. 1914, A213: 437~452.

Google Scholar

[5] KOLSKY H. An Investigation of the Mechanical Properties of Materials at very High Rates of Loading. Proc. Phys. Soc, 1949, B 62: 676.

DOI: 10.1088/0370-1301/62/11/302

Google Scholar

[6] TOUNSIA N, VINCENTI J, OTHO A, et al. From the basic mechanics of orthogonal metal cutting toward the identification of the constitutive equation [J]. International Journal of Machine Tools & Manufacture. 2002, 42: 1373–1383.

DOI: 10.1016/s0890-6955(02)00046-9

Google Scholar

[7] GUO Y B. An integral method to determine the mechanical behavior of materials in metal cutting [J]. Journal of Materials Processing Technology, 2007, 142: 72–81.

DOI: 10.1016/s0924-0136(03)00462-x

Google Scholar

[8] PUJANA J, ARRAZOLA P J, SAOUBI R M, et al. Analysis of the inverse identification of constitutive equations applied in orthogonal cutting process [J]. International Journal of Machine Tools & Manufacture. 2007, 47: 2153–2161.

DOI: 10.1016/j.ijmachtools.2007.04.012

Google Scholar

[9] LEE W S, LIN C F. High-temperature deformation behavior of Ti6Al4V alloy evaluated by high strain-rate compression tests [J]. Journal of Materials Processing Technology. 1998, 75: 127–136.

DOI: 10.1016/s0924-0136(97)00302-6

Google Scholar

[10] HUBERT W. MEYER J R. DAVID S, et al. modeling the high strain rate behavior of titanium undergoing ballistic impact and penetration [J]. International Journal of Impact Engineering. 2001, 26: 509-521.

DOI: 10.1016/s0734-743x(01)00107-5

Google Scholar

[11] CHAPARRO B M, THUILLIER S, MENEZES L F, et al. Material parameters identification: Gradient-based, genetic and hybrid optimization algorithms [J]. Comp. Mater. Sci. 2008, 44: 339–346.

DOI: 10.1016/j.commatsci.2008.03.028

Google Scholar

[12] SASSO M, NEWAZ G, AMODIO D. Material characterization at high strain rate by Hopkinson bar tests and finite element optimization [J]. , Mater. Sci. Eng. 2008, A 487: 289–300.

DOI: 10.1016/j.msea.2007.10.042

Google Scholar

[13] OZEL T, ZEREN E. Determination of work material flow stress and friction for FEA of machining using orthogonal cutting tests [J]. Journal of Materials Processing Technology. 2004, 153: 1019–1025.

DOI: 10.1016/j.jmatprotec.2004.04.162

Google Scholar

[14] SHATLA M, KERK C, ALTAN T. Process modeling in machining. Part I: determination of flow stress data [J]. International Journal of Machine Tools & Manufacture. 2001, 41: 1511–1534.

DOI: 10.1016/s0890-6955(01)00016-5

Google Scholar

[15] UMBRELLO D. Finite element simulation of conventional and high speed machining of Ti6Al4V alloy [J]. Journal of Materials Processing Technology. (2007).

DOI: 10.1016/j.jmatprotec.2007.05.007

Google Scholar