Identification of Material Constitutive Parameters Using Orthogonal Cutting Tests and Genetic Algorithm

Abstract:

Identification of workpiece material constitutive parameters for their application in the simulation of metal cutting process has been a hot research spot for long. This paper proposes a methodology to address this problem using orthogonal cutting tests and Genetic Algorithm (GA). First, an analytical model which calculates the dynamic characteristics occurring in the primary shear zone is introduced; then, orthogonal cutting tests are carried out, to record the following mechanical characteristics with the analytical model: shear stresses, shear strains, strain rates, cutting temperatures; afterwards, GA is employed to obtain the constitutive parameters from these characteristics; at last, the finite element method (FEM) simulations of the cutting tests are performed to evaluate the predictive accuracies of the obtained parameters. In this paper, a Japanese brand steel SCM440H is used as the workpiece material, and the simulation results of its constitutive parameters show good agreements with the experimental data, which renders the feasibility of the proposed methodology.

• Periodical: Materials Science Forum (Volumes 697-698)
• Pages: 112-116
• DOI: https://doi.org/10.4028/www.scientific.net/MSF.697-698.112
• Online since: September 2011
• Authors: B. Lan, Ping Fa Feng, Zhi Jun Wu
• Keywords: Constitutive Parameters, Flow Stress, Genetic Algorithm (GA), Orthogonal Cutting

References

[1] T. Ozel, E. Zeren: Journal of Material Processing Technology Vol. 153, (2004), p.1019.

[2] G.R. Johnson, W.H. Cook: Proc 7th Intern Symp Ballistics, 1983: p.541.

[3] W.J. Kang, et al: Socity of Automotive Engineers, Paper#981010. p.908.

[4] S. Jaspers, J.H. Dautzenberg: Journal of Material Processing Technology Vol. 122, (2002), p.322.

[5] W. Dabboussi, J.A. Nemes: International Journal of Mechanical Sciences Vol. 47, ( 2005), p.1282.

[6] H. Chandrasekaran, R. M'Saoubi and H. Chazal: Machining Science and Technology Vol. 9, (2005), p.131.

[7] M.C. Shaw: Metal Cutting Principles. 1984, Oxford Univerdity Press: Oxford.

[8] P.L.B. Oxley: Mechanics of Machining, an Analytical Approach to Assessing Machinability. 1989: Ellis Horwood Limited.

[9] N. Tounsi, et al: International Journal of Machine Tools and Manufacture Vol. 42, (2002), p.1373.

[10] J. Pujana, et al: International Journal of Machine Tools and Manufacture Vol. 47, (2007), p.2153.

[11] D. Umbrello, R. M'Saoubi and J.C. Outeiro: International Journal of Machine Tools and Manufacture Vol. 47, (2007), p.462.

[12] http: /www. meteck. org/gaover. html.

[13] Matlab R2009b User's Manual/Genetic Algorithm and Direct Search Toolbox.