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<pubDate xmlns="http://apache.org/cocoon/i18n/2.1">Fri, 15 May 2026 01:08:43 GMT</pubDate>
<dc:date>2026-05-15T01:08:43Z</dc:date>
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<title>Dislocation-based model for the prediction of the behavior of b.c.c. materials – grain size and strain path effects</title>
<link>http://hdl.handle.net/10985/9893</link>
<description>Dislocation-based model for the prediction of the behavior of b.c.c. materials – grain size and strain path effects
CARVALHO RESENDE, Tales; BOUVIER, Salima; ABED-MERAIM, Farid; BALAN, Tudor; SABLIN, Simon-Serge
Sheet metal forming processes involve multi-axial strain paths. For the numerical simulation of such processes, an appropriate constitutive model that properly describes material behavior at large strain is required. For accurate and time-effective simulations, it is crucial to use plasticity models based on physics, as material macroscopic behavior is closely related to the evolution of the associated microstructures. Accordingly, a large strain work-hardening phenomenological model that incorporates the intragranular microstructure evolution through a dislocation density approach is proposed. The model is defined by a yield criterion and hardening laws that are all grain-size dependent. The classical Hill criterion in which grain-size dependency was introduced is proposed. Hardening laws are given by a combination of kinematic and isotropic contributions that respectively take into account the evolution with strain of cell blocks formed by geometrically necessary boundaries (GNBs) and individual dislocation cells delineated by incidental dislocation boundaries within cell blocks (IDBs). On the one hand, IDBs evolution contribution is described by a modified Rauch et al. isotropic model, which is able to describe work-hardening stagnation and work-softening. On the other hand, GNBs evolution contribution is described by a grain-size dependent tensorial back-stress expression proposed by Aouafi et al. [2007] to describe the plastic anisotropy and Bauschinger effect. Moreover, the proposed model aims to accurately predict steel behavior through an innovative approach by only changing few “simply measurable” microstructure data (e.g. chemical composition, grain size…). The predictive capabilities of the model are assessed for interstitial free (IF) and dual phase (DP) steels with grain sizes varying respectively in the 8-40 µm and 1-10 µm value range. Different loading paths are analyzed, namely the uniaxial tensile test, reversal simple shear and orthogonal tests.
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<pubDate>Tue, 01 Jan 2013 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/9893</guid>
<dc:date>2013-01-01T00:00:00Z</dc:date>
<dc:creator>CARVALHO RESENDE, Tales</dc:creator>
<dc:creator>BOUVIER, Salima</dc:creator>
<dc:creator>ABED-MERAIM, Farid</dc:creator>
<dc:creator>BALAN, Tudor</dc:creator>
<dc:creator>SABLIN, Simon-Serge</dc:creator>
<dc:description>Sheet metal forming processes involve multi-axial strain paths. For the numerical simulation of such processes, an appropriate constitutive model that properly describes material behavior at large strain is required. For accurate and time-effective simulations, it is crucial to use plasticity models based on physics, as material macroscopic behavior is closely related to the evolution of the associated microstructures. Accordingly, a large strain work-hardening phenomenological model that incorporates the intragranular microstructure evolution through a dislocation density approach is proposed. The model is defined by a yield criterion and hardening laws that are all grain-size dependent. The classical Hill criterion in which grain-size dependency was introduced is proposed. Hardening laws are given by a combination of kinematic and isotropic contributions that respectively take into account the evolution with strain of cell blocks formed by geometrically necessary boundaries (GNBs) and individual dislocation cells delineated by incidental dislocation boundaries within cell blocks (IDBs). On the one hand, IDBs evolution contribution is described by a modified Rauch et al. isotropic model, which is able to describe work-hardening stagnation and work-softening. On the other hand, GNBs evolution contribution is described by a grain-size dependent tensorial back-stress expression proposed by Aouafi et al. [2007] to describe the plastic anisotropy and Bauschinger effect. Moreover, the proposed model aims to accurately predict steel behavior through an innovative approach by only changing few “simply measurable” microstructure data (e.g. chemical composition, grain size…). The predictive capabilities of the model are assessed for interstitial free (IF) and dual phase (DP) steels with grain sizes varying respectively in the 8-40 µm and 1-10 µm value range. Different loading paths are analyzed, namely the uniaxial tensile test, reversal simple shear and orthogonal tests.</dc:description>
</item>
<item>
<title>Application of a dislocation based model for Interstitial Free (IF) steels to typical stamping simulations</title>
<link>http://hdl.handle.net/10985/10196</link>
<description>Application of a dislocation based model for Interstitial Free (IF) steels to typical stamping simulations
CARVALHO RESENDE, Tales; BALAN, Tudor; ABED-MERAIM, Farid; BOUVIER, Salima; SABLIN, Simon-Serge
With a view to environmental, economic and safety concerns, car manufacturers need to design lighter and safer vehicles in ever shorter development times. In recent years, High Strength Steels (HSS) like Interstitial Free (IF) steels which have higher ratios of yield strength to elastic modulus, are increasingly used for sheet metal parts in automotive industry to meet the demands. Moreover, the application of sheet metal forming simulations has proven to be beneficial to reduce tool costs in the design stage and to optimize current processes. The Finite Element Method (FEM) is quite successful to simulate metal forming processes but accuracy largely depends on the quality of the material properties provided as input to the material model. Common phenomenological models roughly consist in the fitting of functions on experimental results and do not provide any predictive character for different metals from the same grade. Therefore, the use of accurate plasticity models based on physics would increase predictive capability, reduce parameter identification cost and allow for robust and time-effective finite element simulations. For this purpose, a 3D physically based model at large strain with dislocation density evolution approach was presented in IDDRG2009 by the authors [1]. This model allows the description of work-hardening's behavior for different loading paths (i.e. uni-axial tensile, simple shear and Bauschinger tests) taking into account several data from microstructure (i.e. grain size, texture, etc...). The originality of this model consists in the introduction of microstructure data in a classical phenomenological model in order to achieve work-hardening's predictive character for different metals from the same grade. Indeed, thanks to a microstructure parameter set for an Interstitial Free steel, it is possible to describe work-hardening behavior for different loading paths of other IF steels by only changing the mean grain size and the chemical composition. During sheet metal forming processes local material points may experience multi-axial and multi-path loadings. Before simulating actual industrial parts, automotive manufacturers use validation tools - e.g. the Cross-Die stamping test. Such typical stamping tests enable the evaluation of a complex distribution of strains. The work described is an implementation [2] of a 3D dislocation based model in ABAQUS/Explicit and its validation on a Finite Element (FE) Cross-Die model. In order to assess the performance and relevance of the 3D dislocation based model in the simulation of industrial forming applications, the results of thinning profiles predicted along several directions and the strain distribution were obtained and compared with experimental results for IF steels with grain sizes varying in the 8-22 μm value range.
</description>
<pubDate>Fri, 01 Jan 2010 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/10196</guid>
<dc:date>2010-01-01T00:00:00Z</dc:date>
<dc:creator>CARVALHO RESENDE, Tales</dc:creator>
<dc:creator>BALAN, Tudor</dc:creator>
<dc:creator>ABED-MERAIM, Farid</dc:creator>
<dc:creator>BOUVIER, Salima</dc:creator>
<dc:creator>SABLIN, Simon-Serge</dc:creator>
<dc:description>With a view to environmental, economic and safety concerns, car manufacturers need to design lighter and safer vehicles in ever shorter development times. In recent years, High Strength Steels (HSS) like Interstitial Free (IF) steels which have higher ratios of yield strength to elastic modulus, are increasingly used for sheet metal parts in automotive industry to meet the demands. Moreover, the application of sheet metal forming simulations has proven to be beneficial to reduce tool costs in the design stage and to optimize current processes. The Finite Element Method (FEM) is quite successful to simulate metal forming processes but accuracy largely depends on the quality of the material properties provided as input to the material model. Common phenomenological models roughly consist in the fitting of functions on experimental results and do not provide any predictive character for different metals from the same grade. Therefore, the use of accurate plasticity models based on physics would increase predictive capability, reduce parameter identification cost and allow for robust and time-effective finite element simulations. For this purpose, a 3D physically based model at large strain with dislocation density evolution approach was presented in IDDRG2009 by the authors [1]. This model allows the description of work-hardening's behavior for different loading paths (i.e. uni-axial tensile, simple shear and Bauschinger tests) taking into account several data from microstructure (i.e. grain size, texture, etc...). The originality of this model consists in the introduction of microstructure data in a classical phenomenological model in order to achieve work-hardening's predictive character for different metals from the same grade. Indeed, thanks to a microstructure parameter set for an Interstitial Free steel, it is possible to describe work-hardening behavior for different loading paths of other IF steels by only changing the mean grain size and the chemical composition. During sheet metal forming processes local material points may experience multi-axial and multi-path loadings. Before simulating actual industrial parts, automotive manufacturers use validation tools - e.g. the Cross-Die stamping test. Such typical stamping tests enable the evaluation of a complex distribution of strains. The work described is an implementation [2] of a 3D dislocation based model in ABAQUS/Explicit and its validation on a Finite Element (FE) Cross-Die model. In order to assess the performance and relevance of the 3D dislocation based model in the simulation of industrial forming applications, the results of thinning profiles predicted along several directions and the strain distribution were obtained and compared with experimental results for IF steels with grain sizes varying in the 8-22 μm value range.</dc:description>
</item>
<item>
<title>Numerical investigation and experimental validation of a plasticity model for sheet steel forming</title>
<link>http://hdl.handle.net/10985/9909</link>
<description>Numerical investigation and experimental validation of a plasticity model for sheet steel forming
CARVALHO RESENDE, Tales; BALAN, Tudor; BOUVIER, Salima; ABED-MERAIM, Farid; SABLIN, Simon-Serge
This paper investigates a recently developed elasto-plastic constitutive model. For this purpose, the model was implemented in a commercial finite element code and was used to simulate the cross-die deep drawing test. Deep drawing experiments and numerical simulations were conducted for five interstitial-free steels and seven dual-phase steels, each of them having a different thickness and strength. The main interest of the adopted model is a very efficient parameter identification procedure, due to the physical background of the model and the physical significance of some of its parameters and state variables. Indeed, the dislocation density, grain size, and martensite volume fraction explicitly enter the model’s formulation, although the overall approach is macroscopic. For the dual-phase steels, only the chemical composition and the average grain sizes were measured for the martensite and ferrite grains, as well as the martensite volume fraction. The mild steels required three additional tensile tests along three directions, in order to describe the plastic anisotropy. Information concerning the transient mechanical behavior after strain-path changes (reverse and orthogonal) was not collected for each material, but for only one material of each family of steels (IF, DP), based on previous works available in the literature. This minimalistic experimental base was used to feed the numerical simulations for the twelve materials that were confronted to deep drawing experiments in terms of thickness distributions. The results suggested that the accuracy of the numerical simulations is very satisfactory in spite of the scarce experimental input data. Additional investigations indicated that the modeling of the transient behavior due to strain-path changes may have a significant impact on the simulation results, and that the adopted approach provides a simple and efficient alternative in this regard.
</description>
<pubDate>Tue, 01 Jan 2013 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/9909</guid>
<dc:date>2013-01-01T00:00:00Z</dc:date>
<dc:creator>CARVALHO RESENDE, Tales</dc:creator>
<dc:creator>BALAN, Tudor</dc:creator>
<dc:creator>BOUVIER, Salima</dc:creator>
<dc:creator>ABED-MERAIM, Farid</dc:creator>
<dc:creator>SABLIN, Simon-Serge</dc:creator>
<dc:description>This paper investigates a recently developed elasto-plastic constitutive model. For this purpose, the model was implemented in a commercial finite element code and was used to simulate the cross-die deep drawing test. Deep drawing experiments and numerical simulations were conducted for five interstitial-free steels and seven dual-phase steels, each of them having a different thickness and strength. The main interest of the adopted model is a very efficient parameter identification procedure, due to the physical background of the model and the physical significance of some of its parameters and state variables. Indeed, the dislocation density, grain size, and martensite volume fraction explicitly enter the model’s formulation, although the overall approach is macroscopic. For the dual-phase steels, only the chemical composition and the average grain sizes were measured for the martensite and ferrite grains, as well as the martensite volume fraction. The mild steels required three additional tensile tests along three directions, in order to describe the plastic anisotropy. Information concerning the transient mechanical behavior after strain-path changes (reverse and orthogonal) was not collected for each material, but for only one material of each family of steels (IF, DP), based on previous works available in the literature. This minimalistic experimental base was used to feed the numerical simulations for the twelve materials that were confronted to deep drawing experiments in terms of thickness distributions. The results suggested that the accuracy of the numerical simulations is very satisfactory in spite of the scarce experimental input data. Additional investigations indicated that the modeling of the transient behavior due to strain-path changes may have a significant impact on the simulation results, and that the adopted approach provides a simple and efficient alternative in this regard.</dc:description>
</item>
<item>
<title>Work-hardening predicition using a dislocation based model for automotive Interstitial Free (IF) steels</title>
<link>http://hdl.handle.net/10985/10477</link>
<description>Work-hardening predicition using a dislocation based model for automotive Interstitial Free (IF) steels
CARVALHO RESENDE, Tales; BOUVIER, Salima; BALAN, Tudor; ABED-MERAIM, Farid; SABLIN, Simon-Serge
With a view to environmental, economic and safety concerns, car manufacturers need to design lighter and safer vehicles in ever shorter development times. In recent years, High Strength Steels (HSS) like Interstitial Free (IF) steels which have higher ratios of yield strength to elastic modulus, are increasingly used for sheet metal parts in automotive industry to reduce mass. The application of simulation models in sheet metal forming in the automotive industry has proven to be beneficial to reduce tool costs in the design stage and optimizing current processes. The Finite Element Method (FEM) is quite successful to simulate metal forming processes but accuracy depends both on the constitutive laws used and their material parameters identification. The purpose of this study is to present, a work-hardening physically-based model at large strain with dislocation density evolution approach. This approach can be decomposed as a combination of isotropic and kinematic contributions. The predictive capabilities of the model are investigated for different Interstitial Free (IF) steels of grain sizes varying in the 5.5-22µm value range. Different loadings paths are analyzed and stress-strain curves have been experimentally assessed and they are compared to the model predictions.
</description>
<pubDate>Thu, 01 Jan 2009 00:00:00 GMT</pubDate>
<guid isPermaLink="false">http://hdl.handle.net/10985/10477</guid>
<dc:date>2009-01-01T00:00:00Z</dc:date>
<dc:creator>CARVALHO RESENDE, Tales</dc:creator>
<dc:creator>BOUVIER, Salima</dc:creator>
<dc:creator>BALAN, Tudor</dc:creator>
<dc:creator>ABED-MERAIM, Farid</dc:creator>
<dc:creator>SABLIN, Simon-Serge</dc:creator>
<dc:description>With a view to environmental, economic and safety concerns, car manufacturers need to design lighter and safer vehicles in ever shorter development times. In recent years, High Strength Steels (HSS) like Interstitial Free (IF) steels which have higher ratios of yield strength to elastic modulus, are increasingly used for sheet metal parts in automotive industry to reduce mass. The application of simulation models in sheet metal forming in the automotive industry has proven to be beneficial to reduce tool costs in the design stage and optimizing current processes. The Finite Element Method (FEM) is quite successful to simulate metal forming processes but accuracy depends both on the constitutive laws used and their material parameters identification. The purpose of this study is to present, a work-hardening physically-based model at large strain with dislocation density evolution approach. This approach can be decomposed as a combination of isotropic and kinematic contributions. The predictive capabilities of the model are investigated for different Interstitial Free (IF) steels of grain sizes varying in the 5.5-22µm value range. Different loadings paths are analyzed and stress-strain curves have been experimentally assessed and they are compared to the model predictions.</dc:description>
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