A numerical scheme for extracting strength model coefficients from Taylor test data

Rule, William K.

doi:10.1016/s0734-743x(97)00015-8

Cited by 58 publications

(27 citation statements)

References 9 publications

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“…The main problem, linked to the material parameters that consider the strain-rate effects, is that they cannot be simply measured and determined, thus they are empirically determined through special experimental and optimisation processes ( [9] to [13]). For the above-mentioned material models the parameters that consider the strain-rate dependence were investigated for many different materials.…”

Section: Introductionmentioning

confidence: 99%

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Estimating the Strain-Rate-Dependent Parameters of the Cowper-Symonds and Johnson-Cook Material Models using Taguchi Arrays

Škrlec

Klemenc

2016

SV-JME

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Section: Introductionmentioning

confidence: 99%

“…For the above-mentioned material models the parameters that consider the strain-rate dependence were investigated for many different materials. In the literature, their typical values for mild steel ( [9], [10] and [11]), high-yield-strength steel [12], aluminium alloys [13], titanium alloys [13], etc. can be found.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Strain-Rate-Dependent Parameters of the Cowper-Symonds and Johnson-Cook Material Models using Taguchi Arrays

Škrlec

Klemenc

2016

SV-JME

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“…Lesuer [5] has used data from Split-Hopkinson bar technique (SHBT) to determine the first three parameters of the JC model that are required for the elasto-plastic term at high strain rate (10 3 to 10 4 s -1 ). Rule [6] developed a numerical approach to extract material strength coefficients from Taylor test data with strain rates up to 10 5 s -1 . Even though these strains and strain rates achieved by these dynamic tests are high, they are still far from those encountered in machining [7].…”

Section: Introductionmentioning

confidence: 99%

Effect of rake angle on Johnson-Cook material constants and their impact on cutting process parameters of Al2024-T3 alloy machining simulation

Daoud

Châtelain

Bouzid

2015

Int J Adv Manuf Technol

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Finite element modeling (FEM) of machining has recently become the most attractive computational tool to predict and optimize metal cutting processes. High-speed computers and advanced finite element code have offered the possibility of simulating complex machining processes such as turning, milling, and drilling. The use of an accurate constitutive law is very important in any metal cutting simulation. It is desirable that a constitutive law could completely characterize the thermovisco-plastic behavior of the machined materials at high strain rate. The most commonly used law is that of Johnson and Cook (JC) which combines the effect of strains, strain rates, and temperatures. Unfortunately, the different coefficients provided in the literature for a given material are not reliable since they affect significantly the predicted results (cutting forces, temperatures, residual stresses, etc.). In the present work, five different sets of JC are determined based on orthogonal machining tests. These five sets are then used in finite element modeling to simulate the machining behavior of Al2024-T3 alloy. The effects of these five different sets of JC constants on the numerically predicted cutting forces, chip morphology, and tool-chip contact length are the subject of a comparative investigation. It is concluded that these predicted cutting parameters are sensitive to the material constants.

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“…It experiences some technical difficulties that could affect the accuracy of the final results according to Guo [3]. Rule [4] has used the Taylor test with strain rates up to 10 for the identification of the JC constitutive parameters. However, the strains encountered in this test are indeed less than 1 which are often less than those induced by machining.…”

Section: Introductionmentioning

confidence: 99%

Identification of material constitutive law constants using machining tests: a response surface methodology based approach

Daoud¹,

Jomaa²,

Châtelain³

et al. 2014

WIT Transactions on the Built Environment

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The finite element modeling (FEM) of chip formation is one of the most reliable tools for the prediction and optimization of machining processes; thanks to the high performance of advanced computers and robust finite element codes which made the modeling of complex machining processes (turning, milling, and drilling) possible. The success of any FEM strongly depends on constitutive law which characterizes the thermo-mechanical behavior of the machined materials. Johnson and Cook's (JC) constitutive model is widely used in the modeling of machining processes. However, one can find in the literature, different coefficients of JC's constitutive law for the same material which can significantly affect the predicted results (cutting forces, temperatures, etc.). These differences were attributed to the different methods used for the determination of the material parameters. In the present work, an inverse method, based on orthogonal machining tests, was developed to determine the parameters of the JC constitutive law. The originality of this study lies in the use of the response surface methodology (RSM) as a technique to improve the existing inverse method. The studied material is a 6061T6 high strength aluminum alloy. It is concluded that the calculated flow stresses obtained from the proposed approach were in a good agreement with the experimental ones. Moreover, the material parameters obtained from the present study predict more accurate values of flow stresses as compared to those reported in the literature.

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A numerical scheme for extracting strength model coefficients from Taylor test data

Cited by 58 publications

References 9 publications

Estimating the Strain-Rate-Dependent Parameters of the Cowper-Symonds and Johnson-Cook Material Models using Taguchi Arrays

Estimating the Strain-Rate-Dependent Parameters of the Cowper-Symonds and Johnson-Cook Material Models using Taguchi Arrays

Effect of rake angle on Johnson-Cook material constants and their impact on cutting process parameters of Al2024-T3 alloy machining simulation

Identification of material constitutive law constants using machining tests: a response surface methodology based approach

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