Verification of Johnson-Cook Material Model Constants of Aa2024-T3 for Use in Finite Element Simulation of Friction Stir Welding and Its Utilization in Severe Plastic Deformation Process Modelling

Sanjeev, N.K.; Malik, Vinayak; Hebbar, H. Suresh

doi:10.15623/ijret.2014.0306017

Cited by 13 publications

(3 citation statements)

References 19 publications

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“…In metal plasticity theory it is often assumed that the plastic flow is insensitive to hydrostatic pressure. It motivates the introduction of the deviatoric part s of the stress tensor σ and the deviatoric part e of the strain tensor ε given by equations (11) and (12), where tr(•) represents the trace of the respective tensor.…”

Section: Elasto-plasticitymentioning

confidence: 99%

“…This model depends on the material parameters E Al , σ Y Al , n Al and K Al . Some values for these parameters can be found in the literature, [12].Unfortunately, most of the parameter values 100 Physical Modeling for Virtual Manufacturing Systems and Processes were obtained from simple tensile tests. Thus, it cannot be expected that those parameter values are appropriate for our simulation, due to the different behavior of the material when inside an MMC with a complex internal geometry.…”

Section: Parameter Identification Of the Elasto-plastic Matrix Materialsmentioning

confidence: 99%

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Modeling of the Effective Properties of Metal Matrix Composites Using Computational Homogenization

Duran

Kuhn

Müller

2017

AMM

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On the macrolevel metal matrix composites (MMCs) resemble a homogeneous material. However, on the microlevel they have an inhomogeneous microstructure. This paper will show how heterogeneities affect the effective macroscopic properties the material, i.e. the effective properties. This investigation is done using computational homogenization techniques. Finite element (FE) simulations were conducted in ABAQUS in combination with MATLAB, using material parameters for aluminum alloy AA2124 and silicon carbide SiC to develop a representative volume element (RVE) of the MMC AMC217xe.

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Section: Elasto-plasticitymentioning

confidence: 99%

Section: Parameter Identification Of the Elasto-plastic Matrix Materialsmentioning

confidence: 99%

Modeling of the Effective Properties of Metal Matrix Composites Using Computational Homogenization

Duran

Kuhn

Müller

2017

AMM

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“…For middle and higher strain rates following constitutive material models are used [11,12]: -Hollomon:…”

Section: Fig 1 Deformable Car Body Components At Frontal Impactmentioning

confidence: 99%

Quasistatic Strain Rates’ Effect to the Properties of Advanced Steels for Automotive Industry

Evin

Tomáš

Výrostek

2016

Acta Metall Slovaca

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The paper presents the findings of the strain rate effect, described in constitutive material models by strain rate sensitivity index m, to the strength and deformation material properties. These were evaluated from stress-strain diagrams recorded at tensile test using PC controlled testing machine TiraTEST 2300 according to STN EN ISO 6892-1. The high strength low alloyed steel H220PD, dual phase steel DP 600 and Trip steel RAK 40/70 were investigated at strain rates   = 0.0021, 0.083 and 0.125 s -1 . The results indicate major influence of the strain rate to the strength properties while only minor influence have been found when evaluate the deformation properties. The results also shown single phase materials are more sensitive to the strain rate than dual phase materials.

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Determination of Effective Properties of MMC by Computational Homogenization

Duran¹,

Kuhn

Müller³

2016

Proc Appl Math and Mech

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On the macrolevel Metal Matrix Composites (MMCs) resemble a homogeneous material. However, on the microlevel they show an inhomogeneous microstructure. This paper will have how heterogeneities affect the overall properties and the behaviour of a material (i.e. the effective properties). This is done using computational homogenization techniques. Finite element (FE) simulations were conducted in ABAQUS in connection with MATLAB, using material parameters for aluminium alloy AA2124 and SiC to develop a representative volume element (RVE) of the MMC AMC217xe.

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Verification of Johnson-Cook Material Model Constants of Aa2024-T3 for Use in Finite Element Simulation of Friction Stir Welding and Its Utilization in Severe Plastic Deformation Process Modelling

Abstract: Abstract

Cited by 13 publications

References 19 publications

Modeling of the Effective Properties of Metal Matrix Composites Using Computational Homogenization

Modeling of the Effective Properties of Metal Matrix Composites Using Computational Homogenization

Quasistatic Strain Rates’ Effect to the Properties of Advanced Steels for Automotive Industry

Determination of Effective Properties of MMC by Computational Homogenization

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