SAM
https://sam.ensam.eu:443
The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Thu, 25 Jul 2024 09:00:49 GMT2024-07-25T09:00:49ZIn situ synchrotron analysis of lattice rotations in individual grains during stress-induced martensitic transformations in a polycrystalline CuAlBe shape memory alloy
http://hdl.handle.net/10985/9943
In situ synchrotron analysis of lattice rotations in individual grains during stress-induced martensitic transformations in a polycrystalline CuAlBe shape memory alloy
MALARD, Benoît; WRIGHT, Jonathan; PATOOR, Etienne; GEANDIER, Guillaume; BERVEILLER, Sophie
Two synchrotron diffraction techniques, three-dimensional X-ray diffraction and Laue microdiffraction, are applied to studying the deformation behaviour of individual grains embedded in a Cu74Al23Be3 superelastic shape memory alloy. The average lattice rotation and the intragranular heterogeneity of orientations are measured during in situ tensile tests at room temperature for four grains of mean size 1 mm. During mechanical loading, all four grains rotate and the mean rotation angle increases with austenite deformation. As the martensitic transformation occurs, the rotation becomes more pronounced, and the grain orientation splits into several sub-domains: the austenite orientation varies on both sides of the martensite variant. The mean disorientation is 1 . Upon unloading, the sub-domains collapse and reverse rotation is observed.
Sat, 01 Jan 2011 00:00:00 GMThttp://hdl.handle.net/10985/99432011-01-01T00:00:00ZMALARD, BenoîtWRIGHT, JonathanPATOOR, EtienneGEANDIER, GuillaumeBERVEILLER, SophieTwo synchrotron diffraction techniques, three-dimensional X-ray diffraction and Laue microdiffraction, are applied to studying the deformation behaviour of individual grains embedded in a Cu74Al23Be3 superelastic shape memory alloy. The average lattice rotation and the intragranular heterogeneity of orientations are measured during in situ tensile tests at room temperature for four grains of mean size 1 mm. During mechanical loading, all four grains rotate and the mean rotation angle increases with austenite deformation. As the martensitic transformation occurs, the rotation becomes more pronounced, and the grain orientation splits into several sub-domains: the austenite orientation varies on both sides of the martensite variant. The mean disorientation is 1 . Upon unloading, the sub-domains collapse and reverse rotation is observed.Local stress analysis in an SMA during stress-induced martensitic transformation by Kossel microdiffraction
http://hdl.handle.net/10985/9942
Local stress analysis in an SMA during stress-induced martensitic transformation by Kossel microdiffraction
BOUSCAUD, Denis; PATOOR, Etienne; MORAWIEC, Adam; BERVEILLER, Sophie; PESCI, Raphaël
The Kossel microdiffraction in a scanning electron microscope allows for local stress determination. This technique has been applied to monitor stress evolution within grains of austenite in the course of martensitic transformation in a shape memory alloy. Kossel diffraction patterns were recorded during in situ tensile straining of Cu-Al-Be alloy. These innovative measurements show large stress heterogeneities between grains, with the stress ratio exceeding two. As martensite variants are stress-induced, shear stress components appear in individual grains of austenite.
Wed, 01 Jan 2014 00:00:00 GMThttp://hdl.handle.net/10985/99422014-01-01T00:00:00ZBOUSCAUD, DenisPATOOR, EtienneMORAWIEC, AdamBERVEILLER, SophiePESCI, RaphaëlThe Kossel microdiffraction in a scanning electron microscope allows for local stress determination. This technique has been applied to monitor stress evolution within grains of austenite in the course of martensitic transformation in a shape memory alloy. Kossel diffraction patterns were recorded during in situ tensile straining of Cu-Al-Be alloy. These innovative measurements show large stress heterogeneities between grains, with the stress ratio exceeding two. As martensite variants are stress-induced, shear stress components appear in individual grains of austenite.A finite-element based numerical tool for Ni47Ti44Nb9 SMA structures design application to tightening rings
http://hdl.handle.net/10985/10100
A finite-element based numerical tool for Ni47Ti44Nb9 SMA structures design application to tightening rings
PIOTROWSKI, Boris; BEN ZINEB, Tarak; EBERHARDT, André; PATOOR, Etienne
This paper deals with the design of Ni47Ti44Nb9 Shape Memory Alloy (SMA) tightening components. The tightening of an SMA ring on an elastic pipe is analyzed using the finite element code ABAQUS® and a UMAT subroutine developed in our group to model the specific behavior of Ni47Ti44Nb9 SMA. Main features of the thermomechanical model implemented in this UMAT routine are briefly recalled. Numerical predictions are validated using experimental tightening pressures obtained on a test bed developed in this work. The validation strategy is documented and the results for different ring thicknesses are presented. This finite element tool is then applied to a parametric study of the influence of ridges on the tightening pressure. Eventually, geometrical defects like out of roundness are considered.
Sun, 01 Jan 2012 00:00:00 GMThttp://hdl.handle.net/10985/101002012-01-01T00:00:00ZPIOTROWSKI, BorisBEN ZINEB, TarakEBERHARDT, AndréPATOOR, EtienneThis paper deals with the design of Ni47Ti44Nb9 Shape Memory Alloy (SMA) tightening components. The tightening of an SMA ring on an elastic pipe is analyzed using the finite element code ABAQUS® and a UMAT subroutine developed in our group to model the specific behavior of Ni47Ti44Nb9 SMA. Main features of the thermomechanical model implemented in this UMAT routine are briefly recalled. Numerical predictions are validated using experimental tightening pressures obtained on a test bed developed in this work. The validation strategy is documented and the results for different ring thicknesses are presented. This finite element tool is then applied to a parametric study of the influence of ridges on the tightening pressure. Eventually, geometrical defects like out of roundness are considered.Effect of shot peening on microstructure of steels exhibiting a TRIP effect – Experimental and modeling approaches
http://hdl.handle.net/10985/14741
Effect of shot peening on microstructure of steels exhibiting a TRIP effect – Experimental and modeling approaches
GUIHEUX, Romain; BOUSCAUD, Denis; PATOOR, Etienne; PUYDT, Quentin; BERVEILLER, Sophie; KUBLER, Regis
Shot peening process is commonly used in mechanical industries to increase life duration of mechanical and structural parts, as automotive gears for instance. It is based on the development of residual compressive stresses at the surface of the component as the surface is hardened by the impact of steel shot. The stress magnitude and the affected depth depend on the process parameters, such as the shot velocity and diameter, their incidence angle with respect to the surface, the coverage… In the case of TRIP-effect steels, the metastable austenite can transform into martensite during shot peening. The final stress state is then more complex as it results from mechanical strain imposed by the process and the martensitic transformation that leads to stress redistribution between austenite and martensite. The aim of this work is to study the behaviour of TRIP-effect steels submitted to shot peening by taking into account martensitic transformation. There are several existing models of shot peening giving the resulting stress field in the material as a function of parameters process; however, to our knowledge, none of these integrates the phase transformation. Therefore we have performed experimental characterizations and developed a specific model for shot peening using a AISI 301LN stainless austenitic steel. Residual stresses are determined by X-ray diffraction in both phases, austenite (with Mn radiation) and martensite (with Cr radiation), using the classical sin2 law. The martensite volume fraction is also measured by X-ray diffraction taking into account crystallographic textures. The mechanical behavior was characterized by tensile tests at different strain rates. Shot peening was performed on 60*60*8 mm3 samples using cut wire steel shots (700HV); the turbine rotational speed was varied between 500 and 2000 rpm. An augmentation of this speed increased the maximum residual stress in both phases. Moreover, the higher the turbine rate was, the higher the martensite volume fraction and the affected depth were. In parallel, finite element simulations of shot peening are performed taking into account residual stresses, plastic strains and hardening parameters for each phase. It is based on the shot peening model with stress and microstructure gradients developed previously by Renaud (Renaud 2011); a semi-phenomenological transformation behaviour law for unstable austenite (Kubler 2011) has been implemented to consider microstructure phase evolution. Model parameters are calibrated from tensile tests and from single-shot impact experiments on AISI 301LN. Output data are the martensite volume fraction, the residual stress and strain fields in each phase, as a function of the depth from the surface. Numerical results are compared to experimental ones on shot peened surfaces.
Thu, 01 Jan 2015 00:00:00 GMThttp://hdl.handle.net/10985/147412015-01-01T00:00:00ZGUIHEUX, RomainBOUSCAUD, DenisPATOOR, EtiennePUYDT, QuentinBERVEILLER, SophieKUBLER, RegisShot peening process is commonly used in mechanical industries to increase life duration of mechanical and structural parts, as automotive gears for instance. It is based on the development of residual compressive stresses at the surface of the component as the surface is hardened by the impact of steel shot. The stress magnitude and the affected depth depend on the process parameters, such as the shot velocity and diameter, their incidence angle with respect to the surface, the coverage… In the case of TRIP-effect steels, the metastable austenite can transform into martensite during shot peening. The final stress state is then more complex as it results from mechanical strain imposed by the process and the martensitic transformation that leads to stress redistribution between austenite and martensite. The aim of this work is to study the behaviour of TRIP-effect steels submitted to shot peening by taking into account martensitic transformation. There are several existing models of shot peening giving the resulting stress field in the material as a function of parameters process; however, to our knowledge, none of these integrates the phase transformation. Therefore we have performed experimental characterizations and developed a specific model for shot peening using a AISI 301LN stainless austenitic steel. Residual stresses are determined by X-ray diffraction in both phases, austenite (with Mn radiation) and martensite (with Cr radiation), using the classical sin2 law. The martensite volume fraction is also measured by X-ray diffraction taking into account crystallographic textures. The mechanical behavior was characterized by tensile tests at different strain rates. Shot peening was performed on 60*60*8 mm3 samples using cut wire steel shots (700HV); the turbine rotational speed was varied between 500 and 2000 rpm. An augmentation of this speed increased the maximum residual stress in both phases. Moreover, the higher the turbine rate was, the higher the martensite volume fraction and the affected depth were. In parallel, finite element simulations of shot peening are performed taking into account residual stresses, plastic strains and hardening parameters for each phase. It is based on the shot peening model with stress and microstructure gradients developed previously by Renaud (Renaud 2011); a semi-phenomenological transformation behaviour law for unstable austenite (Kubler 2011) has been implemented to consider microstructure phase evolution. Model parameters are calibrated from tensile tests and from single-shot impact experiments on AISI 301LN. Output data are the martensite volume fraction, the residual stress and strain fields in each phase, as a function of the depth from the surface. Numerical results are compared to experimental ones on shot peened surfaces.Phase Transformation of Anisotropic Shape Memory Alloys: Theory and Validation in Superelasticity
http://hdl.handle.net/10985/9970
Phase Transformation of Anisotropic Shape Memory Alloys: Theory and Validation in Superelasticity
CHATZIATHANASIOU, Dimitris; CHEMISKY, Yves; CHATZIGEORGIOU, George; PATOOR, Etienne; MERAGHNI, Fodil
In the present study, a new transformation criterion that includes the effect of tension–compression asymmetry and texture-induced anisotropy is proposed and combined with a thermodynamical model to describe the thermomechanical behavior of polycrystalline shape memory alloys. An altered Prager criterion has been developed, introducing a general transformation of the axes in the stress space. A convexity analysis of such criterion is included along with an identification strategy aimed at extracting the model parameters related to tension–compression asymmetry and anisotropy. These are identified from a numerical simulation of an SMA polycrystal, using a self-consistent micromechanical model previously developed by Patoor et al. (J Phys IV 6(C1):277–292, 1996) for several loading cases on isotropic, rolled, and drawn textures. Transformation surfaces in the stress and transformation strain spaces are obtained and compared with those predicted by the micromechanical model. The good agreement obtained between the macroscopic and the microscopic polycrystalline simulations states that the proposed criterion and transformation strain evolution equation can capture phenomenologically the effects of texture on anisotropy and asymmetry in SMAs.
Thu, 01 Jan 2015 00:00:00 GMThttp://hdl.handle.net/10985/99702015-01-01T00:00:00ZCHATZIATHANASIOU, DimitrisCHEMISKY, YvesCHATZIGEORGIOU, GeorgePATOOR, EtienneMERAGHNI, FodilIn the present study, a new transformation criterion that includes the effect of tension–compression asymmetry and texture-induced anisotropy is proposed and combined with a thermodynamical model to describe the thermomechanical behavior of polycrystalline shape memory alloys. An altered Prager criterion has been developed, introducing a general transformation of the axes in the stress space. A convexity analysis of such criterion is included along with an identification strategy aimed at extracting the model parameters related to tension–compression asymmetry and anisotropy. These are identified from a numerical simulation of an SMA polycrystal, using a self-consistent micromechanical model previously developed by Patoor et al. (J Phys IV 6(C1):277–292, 1996) for several loading cases on isotropic, rolled, and drawn textures. Transformation surfaces in the stress and transformation strain spaces are obtained and compared with those predicted by the micromechanical model. The good agreement obtained between the macroscopic and the microscopic polycrystalline simulations states that the proposed criterion and transformation strain evolution equation can capture phenomenologically the effects of texture on anisotropy and asymmetry in SMAs.Analysis of the deformation paths and thermomechanical parameter identification of a shape memory alloy using digital image correlation over heterogeneous tests
http://hdl.handle.net/10985/9969
Analysis of the deformation paths and thermomechanical parameter identification of a shape memory alloy using digital image correlation over heterogeneous tests
CHEMISKY, Yves; BOURGEOIS, Nadine; CORNELL, Stephen; ECHCHORFI, Rachid; PATOOR, Etienne; MERAGHNI, Fodil
With the design of new devices with complex geometry and to take advantage of their large recoverable strains, shape memory alloys components (SMA) are increasingly subjected to multiaxial loadings. The development process of SMA devices requires the prediction of their thermomechanical response, for which the calibration of the material parameters for the numerical model is an important step. In this work, the parameters of a phenomenological model are extracted from tests performed on specimens with non-uniform geometry, which induce heterogeneous strain fields carried out on specimens with the same thermomechanical loading history. The digital image correlation technique is employed to measure the strain fields on the surface of the specimen and to analyze the strain paths of chosen points. Finite element analysis enables the computation of numerical strain fields using a thermodynamical constitutive model for shape memory alloys previously implemented in a finite element code. The strain fields computed numerically are compared with experimental ones obtained by DIC to find the model parameters which best match experimental measurements using a newly developed parallelized mixed genetic/gradient-based optimization algorithm. These numerical simulations are carried out in parallel using a supercomputer to reduce the time necessary to identify the set of model parameters. The major features of this new algorithm is its ability to identify the material parameters which describe the thermomechanical behavior of shape memory alloys from full-field measurements for various loading conditions (different temperatures, multiaxial behavior, heterogeneous test configurations). It is demonstrated that model parameters for the simulation of SMA structures are thus obtained based on a reduced number of heterogeneous tests at different temperatures.
Thu, 01 Jan 2015 00:00:00 GMThttp://hdl.handle.net/10985/99692015-01-01T00:00:00ZCHEMISKY, YvesBOURGEOIS, NadineCORNELL, StephenECHCHORFI, RachidPATOOR, EtienneMERAGHNI, FodilWith the design of new devices with complex geometry and to take advantage of their large recoverable strains, shape memory alloys components (SMA) are increasingly subjected to multiaxial loadings. The development process of SMA devices requires the prediction of their thermomechanical response, for which the calibration of the material parameters for the numerical model is an important step. In this work, the parameters of a phenomenological model are extracted from tests performed on specimens with non-uniform geometry, which induce heterogeneous strain fields carried out on specimens with the same thermomechanical loading history. The digital image correlation technique is employed to measure the strain fields on the surface of the specimen and to analyze the strain paths of chosen points. Finite element analysis enables the computation of numerical strain fields using a thermodynamical constitutive model for shape memory alloys previously implemented in a finite element code. The strain fields computed numerically are compared with experimental ones obtained by DIC to find the model parameters which best match experimental measurements using a newly developed parallelized mixed genetic/gradient-based optimization algorithm. These numerical simulations are carried out in parallel using a supercomputer to reduce the time necessary to identify the set of model parameters. The major features of this new algorithm is its ability to identify the material parameters which describe the thermomechanical behavior of shape memory alloys from full-field measurements for various loading conditions (different temperatures, multiaxial behavior, heterogeneous test configurations). It is demonstrated that model parameters for the simulation of SMA structures are thus obtained based on a reduced number of heterogeneous tests at different temperatures.Parameter identification of a thermodynamic model for superelastic shape memory alloys using analytical calculation of the sensitivity matrix
http://hdl.handle.net/10985/9966
Parameter identification of a thermodynamic model for superelastic shape memory alloys using analytical calculation of the sensitivity matrix
CHEMISKY, Yves; PIOTROWSKI, Boris; ECHCHORFI, Rachid; BOURGEOIS, Nadine; PATOOR, Etienne; MERAGHNI, Fodil
This paper presents an identification procedure for the parameters of a thermodynamically based constitutive model for Shape memory Alloys (SMAs). The proposed approach is a gradient-based method and utilizes an analytical computation of the sensitivity matrix. For several loading cases, including superelasticity, that are commonly utilized for the model parameters identification of such a constitutive model, a closed-form of the total infinitesimal strain is derived. The partial derivatives of this state variable are developed to find the components of the sensitivity matrix. A LevenbergeMarquardt algorithm is utilized to solve the inverse problem and find the best set of model parameters for specific SMA materials. Moreover, a pre-identification method, based on the second derivative of the total strain components is proposed. This provides a suitable initial set of model parameters, which increases the efficiency of the inverse method. The proposed approach is applied for the simultaneous identification of the non-linear constitutive parameters for two superelastic SMAs. The comparison between experimental and numerical curves obtained for different temperatures shows the capabilities of the developed identification approach. The robustness and the efficiency of the developed approach are then experimentally validated
I
Wed, 01 Jan 2014 00:00:00 GMThttp://hdl.handle.net/10985/99662014-01-01T00:00:00ZCHEMISKY, YvesPIOTROWSKI, BorisECHCHORFI, RachidBOURGEOIS, NadinePATOOR, EtienneMERAGHNI, FodilThis paper presents an identification procedure for the parameters of a thermodynamically based constitutive model for Shape memory Alloys (SMAs). The proposed approach is a gradient-based method and utilizes an analytical computation of the sensitivity matrix. For several loading cases, including superelasticity, that are commonly utilized for the model parameters identification of such a constitutive model, a closed-form of the total infinitesimal strain is derived. The partial derivatives of this state variable are developed to find the components of the sensitivity matrix. A LevenbergeMarquardt algorithm is utilized to solve the inverse problem and find the best set of model parameters for specific SMA materials. Moreover, a pre-identification method, based on the second derivative of the total strain components is proposed. This provides a suitable initial set of model parameters, which increases the efficiency of the inverse method. The proposed approach is applied for the simultaneous identification of the non-linear constitutive parameters for two superelastic SMAs. The comparison between experimental and numerical curves obtained for different temperatures shows the capabilities of the developed identification approach. The robustness and the efficiency of the developed approach are then experimentally validatedAdvances in martensitic transformations in Cu-based shape memory alloys achieved by in situ neutron and synchrotron X-ray diffraction methods
http://hdl.handle.net/10985/9869
Advances in martensitic transformations in Cu-based shape memory alloys achieved by in situ neutron and synchrotron X-ray diffraction methods
MALARD, Benoît; SITTNER, Petr; PATOOR, Etienne; BERVEILLER, Sophie
This article deals with the application of several X-ray and neutron diffraction methods to investigate the mechanics of a stress induced martensitic transformation in Cu-based shape memory alloy polycrystals. It puts experimental results obtained by two different research groups on different length scales into context with the mechanics of stress induced martensitic transformation in polycrystalline environment.
Sun, 01 Jan 2012 00:00:00 GMThttp://hdl.handle.net/10985/98692012-01-01T00:00:00ZMALARD, BenoîtSITTNER, PetrPATOOR, EtienneBERVEILLER, SophieThis article deals with the application of several X-ray and neutron diffraction methods to investigate the mechanics of a stress induced martensitic transformation in Cu-based shape memory alloy polycrystals. It puts experimental results obtained by two different research groups on different length scales into context with the mechanics of stress induced martensitic transformation in polycrystalline environment.Identification and interpretation of material parameters of a shape memory alloy (SMA) model
http://hdl.handle.net/10985/10575
Identification and interpretation of material parameters of a shape memory alloy (SMA) model
PIOTROWSKI, Boris; CHEMISKY, Yves; ECHCHORFI, Rachid; BOURGEOIS, Nadine; PATOOR, Etienne; MERAGHNI, Fodil
The thermomechanical behavior of Shape Memory Alloys (SMAs) is described by many micromechanical and phenomenological models. The first ones have material parameters whose physical meaning is based on the crystallography of the phase transformation related to the studied alloy. In contrast, phenomenological models often have material parameters whose physical meaning is not obvious and that makes them difficult to identify, some of which are based on mathematical considerations. In this paper, we propose to use the formulation of the phenomenological model of Chemisky et al., and to consider the particular case of a superelastic SMA. In this case, the constitutive equation should be easily expressed analytically through the strain tensor as a function of applied load direction and material parameters. The behavior is then characterized by a complete and proportional loading. This analytical model contains 7 material parameters, 1 related to the elasticity and 6 to the phase transformation. Based on several isothermal tensile tests at various temperatures, material parameters of this model are identified using the Levenberg-Marquardt algorithm and an analytical calculation of the sensitivity matrix. Their physical meaning and their influence on the thermomechanical behavior of the studied alloy are highlighted and discussed.
Tue, 01 Jan 2013 00:00:00 GMThttp://hdl.handle.net/10985/105752013-01-01T00:00:00ZPIOTROWSKI, BorisCHEMISKY, YvesECHCHORFI, RachidBOURGEOIS, NadinePATOOR, EtienneMERAGHNI, FodilThe thermomechanical behavior of Shape Memory Alloys (SMAs) is described by many micromechanical and phenomenological models. The first ones have material parameters whose physical meaning is based on the crystallography of the phase transformation related to the studied alloy. In contrast, phenomenological models often have material parameters whose physical meaning is not obvious and that makes them difficult to identify, some of which are based on mathematical considerations. In this paper, we propose to use the formulation of the phenomenological model of Chemisky et al., and to consider the particular case of a superelastic SMA. In this case, the constitutive equation should be easily expressed analytically through the strain tensor as a function of applied load direction and material parameters. The behavior is then characterized by a complete and proportional loading. This analytical model contains 7 material parameters, 1 related to the elasticity and 6 to the phase transformation. Based on several isothermal tensile tests at various temperatures, material parameters of this model are identified using the Levenberg-Marquardt algorithm and an analytical calculation of the sensitivity matrix. Their physical meaning and their influence on the thermomechanical behavior of the studied alloy are highlighted and discussed.Phenomenological model for phase transformation characteristics of textured shape memory alloys
http://hdl.handle.net/10985/10137
Phenomenological model for phase transformation characteristics of textured shape memory alloys
CHATZIATHANASIOU, Dimitris; CHEMISKY, Yves; CHATZIGEORGIOU, George; PATOOR, Etienne; MERAGHNI, Fodil
In the present study, a new transformation criterion that includes the effect of tension- compression asymmetry and texture-induced anisotropy is proposed and combined with a thermodynamical model to describe the thermomechanical behavior of polycrystalline shape memory alloys. An altered Prager criterion has been developed, introducing a general transformation of the axes in the stress space. A convexity analysis of such criterion is included along with an identification strategy aimed at extracting the model parameters related to tension-compression asymmetry and anisotropy. These are identified from a numerical simulation of a SMA polycrystal, using a self-consistent micromechanical model previously developed by Patoor et al. (Patoor, E., Eberhardt, A., Berveiller, M., 1996. Micromechanical Modelling of Superelasticity in Shape Memory Alloys. Journal de Physique IV 6, C1 277) for several loading cases on isotropic, rolled and drawn textures. Transformation surfaces in the stress and transformation strain spaces are obtained and compared with those predicted by the micromechanical model. The good agreement obtained between the macroscopic and the microscopic polycrystalline simulations states that the proposed criterion and transformation strain evolution equation can capture phenomenologically the effects of texture on anisotropy and asymmetry in SMAs.
Thu, 01 Jan 2015 00:00:00 GMThttp://hdl.handle.net/10985/101372015-01-01T00:00:00ZCHATZIATHANASIOU, DimitrisCHEMISKY, YvesCHATZIGEORGIOU, GeorgePATOOR, EtienneMERAGHNI, FodilIn the present study, a new transformation criterion that includes the effect of tension- compression asymmetry and texture-induced anisotropy is proposed and combined with a thermodynamical model to describe the thermomechanical behavior of polycrystalline shape memory alloys. An altered Prager criterion has been developed, introducing a general transformation of the axes in the stress space. A convexity analysis of such criterion is included along with an identification strategy aimed at extracting the model parameters related to tension-compression asymmetry and anisotropy. These are identified from a numerical simulation of a SMA polycrystal, using a self-consistent micromechanical model previously developed by Patoor et al. (Patoor, E., Eberhardt, A., Berveiller, M., 1996. Micromechanical Modelling of Superelasticity in Shape Memory Alloys. Journal de Physique IV 6, C1 277) for several loading cases on isotropic, rolled and drawn textures. Transformation surfaces in the stress and transformation strain spaces are obtained and compared with those predicted by the micromechanical model. The good agreement obtained between the macroscopic and the microscopic polycrystalline simulations states that the proposed criterion and transformation strain evolution equation can capture phenomenologically the effects of texture on anisotropy and asymmetry in SMAs.