• Aucun résultat trouvé

High strain rate tensile testing - Identification of dynamic constitutive flow law using high speed tensile test and Taylor gas gun

N/A
N/A
Protected

Academic year: 2021

Partager "High strain rate tensile testing - Identification of dynamic constitutive flow law using high speed tensile test and Taylor gas gun"

Copied!
4
0
0

Texte intégral

(1)

O

pen

A

rchive

T

OULOUSE

A

rchive

O

uverte (

OATAO

)

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.

This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 15827

To cite this version : Ming, Lu and Pantalé, Olivier High strain rate tensile testing -

Identification of dynamic constitutive flow law using high speed tensile test and Taylor gas gun. (2016) In: International conference on COmputational methods in

Manufacturing Processes - ICOMP'2016, 18 May 2016 - 20 May 2016 (Liège, Belgium). (Unpublished)

Any correspondence concerning this service should be sent to the repository administrator: staff-oatao@listes-diff.inp-toulouse.fr

(2)

ICOMP’2016 Lu Ming et al

HIGH STRAIN RATE TENSILE TESTING

-IDENTIFICATION OF DYNAMIC CONSTITUTIVE

FLOW LAW USING HIGH SPEED TENSILE TEST

AND TAYLOR GAS GUN

Lu Minga

Olivier Pantaléa∗ a

Laboratoire Génie de Production, INP/ENIT, Université de Toulouse, 47 Av d’Azereix, 65016 Tarbes — France

corresponding author

Keywords: Identification. Impact. Constitutive law. Tensile test.

1

Introduction

Over the last past years, numerous studies have been concentrated on dynamic me-chanical properties of materials. Constitutive laws, the relation between applied forces and deformations, have also received much attention. Under large defor-mations and high deformation rates such as forming or machining processes, non-linear constitutive laws plays a significant role in predicting the mechanical behav-ior of materials. They will become more complicated if more physics are taken into account. The implementation of non-linear constitutive laws in numerical simula-tion requires the identificasimula-tion of a large number of parameters. This paper presents an inverse identification procedure of the Johnson-Cook constitutive law parame-ters for 2017 aluminium alloy (AlCu4MgSi) based on a new tensile test specimen.

2

Presentation

Johnson-Cook is an empirical constitutive model and is widely used in simulation of materials and structures under high strain rate. In this model, flow stress de-pends on the plastic strain, the strain rate and the temperature [1]. The proposed identification procedure contains two main parts: an experimental dynamic tensile test and a numerical simulation of the same test. Identification of the constitutive law parameters is done by minimizing the difference between the numerical results and the experimental ones.

High strain rate tensile testing originally designed by LGP (Laboratoire Génie de Production) is based on Taylor tests. In the Taylor technique, a rod impacts a rigid surface and a post-mortem measurement of the final shape is carried out as an evaluation of the deformation. Strain rates of over 104s−1 can be achieved in such

apparatus. To conduct tensile tests, the Taylor gas gun device is used to launch a

(3)

Lu Ming et al ICOMP’2016 Gaz gun device Projectile

Laser speed system

Target-support Target

Sabot

Figure 1: Layout of Taylor tensile facility using a gaz gun

(Avg: 75%) PEEQ +0.000e+00 +2.395e-02 +4.789e-02 +7.184e-02 +9.578e-02 +1.197e-01 +1.437e-01 +1.676e-01 +1.916e-01 +2.155e-01 +2.395e-01 +2.634e-01 +2.873e-01

Figure 2: Two-dimensional axisymmetric tensile Finite Element Model: left is unde-formed model, right is plastic strain after impact.

projectile with a weight of 30 − 50 gr into a specially designed target (see Figure 1) with different impact velocities (ranging from 60 m/s up to 120 m/s) and tensile plastic deformation occurs in the center zone of the target. In the present work, the geometries of the projectile and the target have been modified with regards to the previously proposed approach [2] and optimized in order to obtain higher strains and higher strain rates without reaching the critical state of the rupture of the spec-imen. A two-dimensional finite element model of the target is shown in Figure 2 (left side of figure) and an illustration of the deformed specimen showing the plas-tic strain contourplot is reported in Figure 2 (right side of figure) for an impact speed of V = 90 m/s.

Numerical models are built thanks to the finite element software Abaqus/Explicit. The correlation between the final deformed shape of numerical models and the final deformed shape of experimental specimens is evaluated by a new identification pro-gram developed using the Python language in the LGP (the previous version was in C++). The aim of this program is to provide an appropriate set of constitutive 2 COmputational methods in Manufacturing Processes 2016 - Liège, Belgium.

(4)

ICOMP’2016 Lu Ming et al

law parameters giving a good prediction of material behavior by minimizing the difference between a selected set of experimental results and simulation responses. In the original program, the coarse and refinement researches were achieved by a sequence of the Monte-Carlo and the Levenberg-Marquardt algorithm seperately [3].

In the new version of the identification program many improvements have been developped in order to increase the robustness and the stability of the identification procedure. Adaptive filering methods to supress the numerical noise in the results have been implemented to increase the convergence rate and a numercial database of the previous results has been added in order to reduce the computing time when the same sets of parameters are generated during the optimization procedure.

3

Conclusion

An identification procedure of dynamic constitutive flow law has been developed. Using Taylor gas gun facility, high speed tensile tests are conducted to obtain exper-imental results. Numerical modeling is completed by the finite element software. A Python program is used to identify the values of constitutive law parameters through evaluating the difference between experimental results and numeriacal re-sponses. The efficiency and accuracy of the identification procedure is proved by the results presented in this paper. The application of the identification procedure needs to be extended to multiple dynamic tests (compression and shear). Automatic techniques for measuring the final deformed shape of specimens remains to be im-proved is the present work.

References

[1] Gordon R Johnson and William H Cook. A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures. In Proceedings of the 7th International Symposium on Ballistics, volume 21, pages 541– 547. The Hague, The Netherlands, 1983.

[2] H Abichou, O Pantalé, I Nistor, O Dalverny, and S Caperaa. Identification of metallic material behaviours under high-velocity impact: A new tensile test. In 15th Technical Meeting DYMAT, Metz, pages 1–2, 2004.

[3] Ionel Nistor, Olivier Pantalé, Serge Caperaa, and Chakib Sattouf. A new dy-namic test for the identification of high speed friction law using a gas-gun de-vice. In Journal de Physique IV (Proceedings), volume 110, pages 519–524. EDP sciences, 2003.

Figure

Figure 2: Two-dimensional axisymmetric tensile Finite Element Model: left is unde- unde-formed model, right is plastic strain after impact.

Références

Documents relatifs

This Research Topic Ebook presents current research illustrating the depth and breadth of ongoing work in the field of flow and transformation in porous media through 15 papers by

External rule Cooperator Logical asset prioritized Physical asset prioritized Human asset prioritized Threat evaluator Network specialist Network security specialist Network

For instance, the high genetic correlations between the mean internode length considered on trunks and many geometrical variables measured on both trunks and LSAS, suggests that

Inverse finite element modelling and identification of constitutive parameters of UHS steel based on Gleeble tensile tests at high temperature... Inverse Finite Element Modelling

Identification of anisotropic tensile strength of cortical bone using Brazilian test.. Rachele Allena,

As in the classical case, the strains used in these formulas were the virtual incident, reflected and transmitted strains that were shifted to the bar ends using

A potent stress responsive gene peroxisomal ascorbate peroxidase (TapAPX) obtained from heat stress (42°C) responsive subtractive cDNA library from a thermo tolerant wheat cv..