Sheet metal anisotropy and optimal non-round blank design in high-speed multi-step forming of AA3104-H19 aluminium alloy can body

Liu, Wencheng; Chen, Bernard

doi:10.1007/s00170-017-1526-0

Cited by 14 publications

(3 citation statements)

References 28 publications

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“…Here, the full-filed CPFEM was applied to investigate the texture induced anisotropic plasticity of strong textured AA3104 aluminium alloy sheet (an Al-alloy with about 1% manganese and 1% magnesium 40,41 ). This sheet was a typical canbody stock and was widely used in metal bodymaker industry due to its good formability and strength.…”

Section: Materials Characterisationmentioning

confidence: 99%

Multi-level deep drawing simulations of AA3104 aluminium alloy using crystal plasticity finite element modelling and phenomenological yield function

Sun

Liu

2021

Advances in Mechanical Engineering

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This paper proposed a hierarchical multi-level model to study the crystallographic texture induced mechanical anisotropy of AA3104-H19 aluminium sheet from mesoscale to continuum scale. In the mesoscale, full-field crystal plasticity finite element method (CPFEM) was used to provide both in-plane and out-of-plane yield stresses and plastic potential points in various deformation modes. In the continuum scale, these materials sampling points were used to determine the parameters of two phenomenological yield functions (Yld2000-2d in plane stress space and Yld2004-18p in 3D stress space) using associated flow rule (AFR) and non-associated flow rule (non-AFR). The results indicate that higher accuracy obtained by Yld2000-2d and Yld2004-18p yield functions associated with non-AFR in comparison with AFR. These phenomenological models were successfully implemented into finite element (FE) code using an explicit integration scheme to simulate sheet metal forming. It is found that the 3D Yld2004-18p model involved with both in-plane and out-of-plane anisotropies is superior to 2D Yld2000-2d model which only accounts for in-plane anisotropy.

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Section: Materials Characterisationmentioning

confidence: 99%

Multi-level deep drawing simulations of AA3104 aluminium alloy using crystal plasticity finite element modelling and phenomenological yield function

Sun

Liu

2021

Advances in Mechanical Engineering

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“…The complex microstructure, typically consisting of multiple phases over a wide range of length scale, renders their rather different macro-/micro-mechanical responses and plasticity behaviors. Specifically, plastic anisotropy of deformation and strength is one of the most concerns in the community of sheet metal forming 4 .…”

Section: Introductionmentioning

confidence: 99%

A virtual laboratory based on full-field crystal plasticity simulation to characterize the multiscale mechanical properties of AHSS

Zhang

et al. 2022

Sci Rep

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In this work, we proposed a virtual laboratory based on full-field crystal plasticity (CP) simulation to track plastic anisotropy and to calibrate yield functions for multiphase metals. The virtual laboratory, minimally, only requires easily accessible EBSD data for constructing the highly-resolved microstructural representative volume element and macroscopic flow stress data for identifying the micromechanical parameters of constituent phases. An inverse simulation method based on a global optimization scheme was developed to identify the CP parameters, and a nonlinear least-squares method was employed to calibrate yield functions. Mechanical tests of advanced high strength steel sheet under various loading conditions were conducted to validate the virtual laboratory. Three well-known yield functions, the quadratic Hill48 and non-quadratic Yld91 and Yld2004-18p yield functions, were selected as the validation benchmarks. All the studied functions, calibrated by numerous stress points of arbitrary loading conditions, successfully captured both the deformation and strength anisotropies. The full-field CP modeling correlated well the microscopic deformation mechanism and plastic heterogeneity with the macromechanical behavior of the sheet. The proposed virtual laboratory, which is readily extended with physically based CP models, could be a versatile tool to explore and predict the mechanical property and plastic anisotropy of advanced multiphase materials.

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“…The complex microstructure, typically consisting of multiple phases over a wide range of length scales, renders the rather different macro-/micro-mechanical responses and plasticity behaviors. Specifically, plastic anisotropy of deformation and strength is one of the most concerns in the community of sheet metal forming 4 .…”

Section: Introductionmentioning

confidence: 99%

A Virtual Laboratory Based on Full-Field Crystal Plasticity Simulation to Characterize the Multiscale Mechanical Properties of AHSS

Zhang

et al. 2021

Preprint

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In this work, we proposed a virtual laboratory based on full-field crystal plasticity simulation to track plastic anisotropy and to calibrate yield functions for multi-phase metals. The virtual laboratory, minimally, only requires easily accessible EBSD data for constructing the high-resolved microstructural representative volume element and macroscopic flow stress data for identifying the micromechanical parameters of constituent phases. An inverse simulation method based on global optimization scheme was developed for parameters identification, and a nonlinear least-squares method was employed to calibrate the yield functions. Various mechanical tests of an advanced high strengthening steel (DP980) sheet under different loading conditions were conducted to validate the virtual laboratory. Three well-known yield functions, the quadratic Hill48, Yld91, and Yld2004-18p, were selected as the validation benchmarks. All the studied functions, calibrated by numerous stress points under arbitrary loading conditions, successfully captured both the deformation and strength anisotropies. Furthermore, the full-field CP modeling well correlates the microscopic deformation mechanism and plastic heterogeneity to the macro-mechanical behavior of the sheet. The proposed virtual laboratory, which is readily extended with physically based CP model, could be a versatile tool to explore and predict the mechanical property and plastic anisotropy of advanced multi-phase metals.

show abstract

Sheet metal anisotropy and optimal non-round blank design in high-speed multi-step forming of AA3104-H19 aluminium alloy can body

Cited by 14 publications

References 28 publications

Multi-level deep drawing simulations of AA3104 aluminium alloy using crystal plasticity finite element modelling and phenomenological yield function

Multi-level deep drawing simulations of AA3104 aluminium alloy using crystal plasticity finite element modelling and phenomenological yield function

A virtual laboratory based on full-field crystal plasticity simulation to characterize the multiscale mechanical properties of AHSS

A Virtual Laboratory Based on Full-Field Crystal Plasticity Simulation to Characterize the Multiscale Mechanical Properties of AHSS

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