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Research Papers

Identification of Johnson–Cook and Tresca's Parameters for Numerical Modeling of AISI-304 Machining Processes

[+] Author and Article Information
Paolo Bosetti

e-mail: paolo.bosetti@unitn.it

Carlos Maximiliano Giorgio Bort

Department of Industrial Engineering,
University of Trento,
Trento I-38123, Italy

Stefania Bruschi

Department of Industrial Engineering,
University of Padova,
Padova I-35131, Italy

1Corresponding author.

Contributed by the Manufacturing Engineering Division of ASME for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING. Manuscript received March 28, 2013; final manuscript received August 19, 2013; published online September 23, 2013. Assoc. Editor: Donggang Yao.

J. Manuf. Sci. Eng 135(5), 051021 (Sep 23, 2013) (8 pages) Paper No: MANU-13-1110; doi: 10.1115/1.4025340 History: Received March 28, 2013; Revised August 19, 2013

This paper presents a procedure for the identification of Johnson Cook model parameters and Tresca's law friction factor for orthogonal cutting of AISI 304. The process is described by a thermomechanical numerical model. The parameters are identified by minimizing the error in the prediction of cutting force, chip thickness, and chip curvature. Two optimization algorithms where tested: a pure Nelder–Mead method (NMM), and a hybrid procedure, in which the starting simplex for NMM is calculated by means of a genetic algorithm. The results emphasize the importance of the initial guess chosen in the optimization to obtain a reliable set of parameters. By using the optimized parameters in the numerical model, the cutting force, the chip thickness, and the chip curvature can be evaluated with an acceptable accuracy. The identified rheological and tribological coefficients are validated for different orthogonal cutting conditions.

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Figures

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Fig. 1

The experimental setup used in the OTC test (left); SEM image of the tool rake with the worn area and the AISI-304 sticking zone (middle) and a particular of the tool rake face with measurements of the worn area (right)

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Fig. 2

The OTC test model implemented in deform 2D

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Fig. 3

Architecture of the identification procedure

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Fig. 4

Analysis performed on the chip nodes at the end of the simulation. The tool moves from right to left

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Fig. 6

Measured and calculated cutting force

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Fig. 7

Calculated and measured chips

Tables

Errata

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