Effects of spatial grain orientation distribution and initial surface topography on sheet metal necking

Wu, Peidong; Lloyd, D. J.; Jain, Mukesh; Neale, K.W.; Huang, Y.

doi:10.1016/j.ijplas.2006.11.005

Cited by 63 publications

(40 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is often used to model the localization in metal sheets, where only a small part of the sheet needs to be represented, with applied plane-strain or plane-stress boundary conditions [30][31][32][33]. The CP model allows studying phenomena which are outside the scope of the phenomenological models, like surface roughening [34], and their influence on necking. Other applications of the CP model are localization in thin films [35], tubes under pressure [36] and deep drawing [37].…”

Section: Introductionmentioning

confidence: 99%

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

Khadyko¹,

Dumoulin²,

Hopperstad³

2015

Computers & Structures

View full text Add to dashboard Cite

Cylindrical smooth and notched AA6060 samples were tested in tension. The material was either cast and homogenized or extruded with strong cube texture. The textured specimens demonstrated unusual shapes of the fracture surface that deviated from elliptical and were more rectangular in shape. A phenomenological plasticity model was used in finite element simulations of the tensile tests, together with a crystal plasticity model. The phenomenological plasticity model could not reproduce the evolution of the cross-section of the specimens made from the textured material. The crystal plasticity finite element model on the other hand demonstrated behaviour closer to the experiments.

show abstract

Section: Introductionmentioning

confidence: 99%

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

Khadyko¹,

Dumoulin²,

Hopperstad³

2015

Computers & Structures

View full text Add to dashboard Cite

show abstract

“…[4] The addition of revised plasticity and kinematic hardening models and the results from studies of the influence of various material parameters (such as grain size and grain orientation effects, surface roughening effects, and other damage mechanisms) on strain localization have enhanced the reliability of the numerical models. [5][6][7][8][9][10][11][12] Despite the significant improvements that have been made to these models, inconsistencies still exist between the mechanical behavior that is predicted and the behavior that is observed experimentally. One possible source for these discrepancies is that the models used to predict the mechanical behavior are fundamentally deterministic and they simply cannot account for all of the variability that is possible in every microstructural component involved in the plastic deformation process of a polycrystalline material.…”

Section: Introductionmentioning

confidence: 99%

“…Unfortunately, the fidelity of the roughness data used in these models is questionable, given that these data are routinely based on the erroneous assumption of a linear relationship between the surface roughness and the plastic strain. [11,14,15] The literature also indicates that the strain mode has little or no influence on the measurable surface roughness, if the grain size is constant. [16] The results of a recent evaluation of deformationinduced surface roughness with plastic strain plainly demonstrated that the linear relationship between the surface root-mean-squared (RMS) roughness (Sq) and the plastic strain reported in the literature is a statistical artifact resulting from inadequate sampling.…”

Section: Introductionmentioning

confidence: 99%

A Study of the Fundamental Relationships between Deformation-Induced Surface Roughness and Strain Localization in AA5754

Stoudt

Hubbard

Iadicola

et al. 2009

Metall Mater Trans A

View full text Add to dashboard Cite

Three-dimensional, matrix-based statistical analysis methods were developed and integrated with high-resolution topographical imaging, to assess how microstructural changes influence the evolution of plastic deformation and strain localization in a commercial AA5754-O aluminum sheet in three in-plane strain modes. Analysis of the raw surface data revealed that the general composition of the surface roughness was highly sensitive to strain mode and strain level. The microstructural conditions that promote strain localization were assessed by extending a profilebased surface roughness parameter (Rt) to matrix form. Both analyses revealed that different strain modes produce characteristic dissimilarities in the deformation at the grain level. The localization data can be well characterized with a two-parameter Weibull distribution, suggesting that strain localization is a stochastic process that can be modeled reliably with Weibull statistics. This study clearly demonstrates that an accurate and straightforward probabilistic expression that captures the microstructural subtleties produced by plastic deformation can be developed from rigorous analyses of raw topographic data. Because variations in surface morphology profoundly influence the reliability of the numerical models used to predict strain localization, incorporating expressions of this type could greatly enhance the accuracy of these models.

show abstract

“…The localization behavior of a material is due to two reasons: (i) The material non-homogeneities (second phase particles, grain morphology of surface defects, etc.) [4][5][6][7][8], (ii) constitutive behavior (material strain hardening, softening and rate sensitivity, etc.) [9,10].…”

Section: Introductionmentioning

confidence: 99%

Failure analysis based on microvoid growth for sheet metal during uniaxial and biaxial tensile tests

2013

View full text Add to dashboard Cite

. Failure analysis based on microvoid growth for sheet metal during uniaxial and biaxial tensile tests. Materials and Design, Elsevier, 2013, vol. 49, pp. 638-646. <10.1016/j.matdes.2013 OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. a b s t r a c tThe aim of the presented investigations is to perform an analysis of fracture and instability during simple and complex load testing by addressing the influence of ductile damage evolution in necking processes. In this context, an improved experimental methodology was developed and successfully used to evaluate localization of deformation during uniaxial and biaxial tensile tests. The biaxial tensile tests are carried out using cruciform specimen loaded using a biaxial testing machine. In this experimental investigation, Stereo-Image Correlation technique has is used to produce the heterogeneous deformations map within the specimen surface. Scanning electron microscope is used to evaluate the fracture mechanism and the micro-voids growth. A finite element model of uniaxial and biaxial tensile tests are developed, where a ductile damage model Gurson-Tvergaard-Needleman (GTN) is used to describe material deformation involving damage evolution. Comparison between the experimental and the simulation results show the accuracy of the finite element model to predict the instability phenomenon. The advanced measurement techniques contribute to understand better the ductile fracture mechanism.

show abstract

Effects of spatial grain orientation distribution and initial surface topography on sheet metal necking

Cited by 63 publications

References 30 publications

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

Simulation of large-strain behaviour of aluminium alloy under tensile loading using anisotropic plasticity models

A Study of the Fundamental Relationships between Deformation-Induced Surface Roughness and Strain Localization in AA5754

Failure analysis based on microvoid growth for sheet metal during uniaxial and biaxial tensile tests

Contact Info

Product

Resources

About