A multiphase mechanical model for Ti–6Al–4V: Application to the modeling of laser assisted processing

Longuet, Arnaud; Robert, Y.; Aeby‐Gautier, Elisabeth; Appolaire, Benoît; Mariage, Jean-François; Colin, Christophe; Cailletaud, Georges

doi:10.1016/j.commatsci.2009.05.012

Cited by 27 publications

(30 citation statements)

References 10 publications

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“…In addition, the RSs distributions in welds are the result of a complex combination of heterogeneous thermal strains due to thermal gradients induced by the welding process and volume changes induced by phase transformations. Moreover, the FZ and the HAZ are generally subjected to longitudinal and transversal tension RSs as simulated by Longuet et al (2009) and explained by Casavola et al (2012). In the case of the Ti-6Al-4V alloy, the transformation of the ␤ phase during cooling causes an increase in volume.…”

Section: Effect Of Welding Process On Mechanical Propertiesmentioning

confidence: 99%

Microstructure and residual stresses in Ti-6Al-4V alloy pulsed and unpulsed TIG welds

Mehdi

Badji

et al. 2016

Journal of Materials Processing Technology

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et al.. Microstructure and residual stresses in Ti-6Al-4V alloy pulsed and unpulsed TIG welds. Journal of Materials Processing Technology, Elsevier, 2016, 231, pp.a b s t r a c tIncreasing the pulse frequency in pulsed Tungsten Inert Gas arc welding refines the prior-␤ grain size in the fusion zone of Ti-6Al-4V alloy compared to unpulsed process. The microhardness increases in the fusion zones (FZs) obtained with pulsed welding process with respect to their microstructural evolution. The increase of the pulse frequency contributes to the formation of a significant amount of residual ␤ phase in the FZ which is accompanied by a decrease of its microhardness. The tensile residual stresses (RSs) level in the pulsed process is lower than the one of the unpulsed one. The tensile RSs induced by both welding processes in the heat affected zone (HAZ) are found to decrease when increasing the pulse frequency. In the FZ, the transversal RSs are of compressive type for both processes whereas the longitudinal ones change from tensile to compressive type when increasing the pulse frequency.

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Section: Effect Of Welding Process On Mechanical Propertiesmentioning

confidence: 99%

Microstructure and residual stresses in Ti-6Al-4V alloy pulsed and unpulsed TIG welds

Mehdi

Badji

et al. 2016

Journal of Materials Processing Technology

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“…In [3], only the thermal / mechanical couplings were considered. More recently, the effect of the phase transformations has been taken into account in the case of Ti-6Al-4V alloy and welding treatments [4]. However in case of Ti17 or othermetastable alloys, and quenching treatments, the effects of the phase transformations have not been investigated in detail, to our knowledge.…”

Section: Simulation Of Coupled Temperature Microstructure and Internmentioning

confidence: 99%

Simulation of Coupled Temperature, Microstructure and Internal Stresses Evolutions During Quenching of A β‐Metastable Titanium Alloy

Teixeira

Denand

Aeby‐Gautier

et al. 2016

Proceedings of the 13th World Conference on Titanium

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“…In that case, a sum of small consecutive isothermal steps replaces continuous temperature variations. This concept has been used in many works and has successfully been applied to describe the kinetics of phase transformations in titanium alloys [4,10,19,28,31]. The additivity approach is also found to be sufficiently accurate when modelling microstructures using state variables for applications such as heat treatment and welding [8].…”

Section: Arbitrary Temperature Historiesmentioning

confidence: 99%

A model for Ti–6Al–4V microstructure evolution for arbitrary temperature changes

Murgau

Pederson

Lindgren

2012

Modelling Simul. Mater. Sci. Eng.

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This thesis is devoted to microstructure modelling of Ti-6Al-4V. The microstructure and the mechanical properties of titanium alloys are highly dependent on the temperature history experienced by the material. The developed microstructure model accounts for thermal driving forces and is applicable for general temperature histories. It has been applied to study wire feed additive manufacturing processes that induce repetitive heating and cooling cycles. The microstructure model adopts internal state variables to represent the microstructure through microstructure constituents' fractions in finite element simulation. This makes it possible to apply the model efficiently for large computational models of general thermomechanical processes. The model is calibrated and validated versus literature data. It is applied to Gas Tungsten Arc Welding -also known as Tungsten Inert Gas welding-wire feed additive manufacturing process. Four quantities are calculated in the model: the volume fraction of phase, consisting of Widmanstätten , grain boundary , and martensite . The phase transformations during cooling are modelled based on diffusional theory described by a Johnson-Mehl-AvramiKolmogorov formulation, except for diffusionless martensite formation where the Koistinen-Marburger equation is used. A parabolic growth rate equation is used for the to transformation upon heating. An added variable, structure size indicator of Widmanstätten , has also been implemented and calibrated. It is written in a simple Arrhenius format. The microstructure model is applied to in finite element simulation of wire feed additive manufacturing. Finally, coupling with a physically based constitutive model enables a comprehensive and predictive model of the properties that evolve during processing.

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A multiphase mechanical model for Ti–6Al–4V: Application to the modeling of laser assisted processing

Cited by 27 publications

References 10 publications

Microstructure and residual stresses in Ti-6Al-4V alloy pulsed and unpulsed TIG welds

Microstructure and residual stresses in Ti-6Al-4V alloy pulsed and unpulsed TIG welds

Simulation of Coupled Temperature, Microstructure and Internal Stresses Evolutions During Quenching of A β‐Metastable Titanium Alloy

A model for Ti–6Al–4V microstructure evolution for arbitrary temperature changes

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