Effect of oxygen content and microstructure on the thermo-mechanical response of three Ti–6Al–4V alloys: Experiments and modeling over a wide range of strain-rates and temperatures

Khan, Akhtar S.; Kazmi, Rehan; Farrokh, Babak; Zupan, Marc

doi:10.1016/j.ijplas.2006.10.007

Cited by 119 publications

(40 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These laws are commonly accepted to model strain rate hardening and temperature softening (Klepaczko, 1987;Molinari et al, 2002;Mercier and Molinari, 2004;Khan et al, 2007). Using a Ludwik law…”

Section: Proposed Modifications For the Modelmentioning

confidence: 99%

A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates

Zaera

Rodríguez-Martínez

Casado³

et al. 2012

International Journal of Plasticity

View full text Add to dashboard Cite

a b s t r a c tThis study presents a constitutive model for steels exhibiting SIMT, based on previous sem inal works, and the corresponding methodology to estimate their parameters. The model includes temperature effects in the phase transformation kinetics, and in the softening of each solid phase through the use of a homogenization technique. The model was validated with experimental results of dynamic tensile tests on AISI 304 sheet steel specimens, and their predictions correlate well with the experimental evidence in terms of macroscopic stress strain curves and martensite volume fraction formed at high strain rates. The work shows the value of considering temperature effects in the modeling of metastable austen itic steels submitted to impact conditions. Regarding most of the works reported in the lit erature on SIMT, modeling of the martensitic transformation at high strain rates is the distinctive feature of the present paper.

show abstract

Section: Proposed Modifications For the Modelmentioning

confidence: 99%

A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates

Zaera

Rodríguez-Martínez

Casado³

et al. 2012

International Journal of Plasticity

View full text Add to dashboard Cite

show abstract

“…In addition, twinning is commonly observed in Ti and other metals with an HCP crystal structure, and it has a strong effect on the overall behavior of a polycrystal material [27]. The deformation behavior of HCP-Ti and Ti alloys has been studied in literature extensively [26][27][28][29][30][31][32][33]. These studies revealed that the Ti alloys have complex slip and twinning modes.…”

Section: Introductionmentioning

confidence: 99%

Crystal Plasticity Modeling and Experimental Validation with an Orientation Distribution Function for Ti-7Al Alloy

Acar

Ramazani

Sundararaghavan

2017

Metals

View full text Add to dashboard Cite

An orientation distribution function based model is used for micromechanical modeling of the titanium-aluminum alloys, Ti-0 wt % Al and Ti-7 wt % Al, which are in demand for many aerospace applications. This probability descriptor based modeling approach is different than crystal plasticity finite element techniques since it computes the averaged material properties using upper bound averaging. A rate-independent single-crystal plasticity model is implemented to compute the effect of macroscopic strain on the polycrystal. An optimization problem is defined for calibrating the basal, prismatic, pyramidal slip system and twin parameters using the available tension and compression experimental data. The crystal plasticity parameters of Ti-7 wt % Al are not studied extensively in literature, and therefore the optimization results for the crystal plasticity model realization produce unique data, which will be beneficial to future studies in the field. The sensitivities of the slip and twin parameters to the design objectives are also investigated to identify the most critical slip system parameters. Using the optimum design parameters, the microstructural textures, during the tension test, are predicted by the crystal plasticity finite element simulations, and compared to the available experimental texture and scanning electron microscope-digital image correlation data.

show abstract

“…However additional processes may take place during plastic deformation, of which twinning is quite commonly observed, as a mechanism that stores little energy of cold work while contributing significantly to the strain hardening (Bever et al, 1973;Padilla et al, 2007;Osovski et al, 2012). Additional phenomena may be induced by high rate straining of crystalline solid like dynamic recrystallization (Khan et al, 2007;Rittel et al, 2008;Osovski et al, 2012;Cerreta et al, 2012;Brown and Bammann, 2012). Also during phase transformations such as the conversion of austenite to martensite, well known to occur in a reversible way in pure iron (Rittel et al, 2006) or to develop in many ferrous alloys such as metastable austenitic steels of the 3XX series (Rodríguez-Martínez et al, 2011) or with high manganese content.…”

Section: Introductionmentioning

confidence: 99%

On the Taylor–Quinney coefficient in dynamically phase transforming materials. Application to 304 stainless steel

Zaera

Rodríguez-Martínez

Rittel

2013

International Journal of Plasticity

View full text Add to dashboard Cite

a b s t r a c tWe present a thermodynamic scheme to capture the variability of the Taylor-Quinney coefficient in austenitic steels showing strain induced martensitic transformation at high strain rates. For that task, the constitutive description due to Zaera et al. (2012) has been extended to account for the heat sources involved in the temperature increase of the material. These are the latent heat released due to the exothermic character of the transformation and the heat dissipated due to austenite and martensite straining. Through a differential treatment of these dissipative terms, the Taylor-Quinney coefficient develops a direct connection with the martensitic transformation becoming stress, strain and strain rate dependent. The improved constitutive description sheds light on experimental results available in the literature reporting unusual ð> 1Þ values for the Taylor-Quinney coefficient.

show abstract

Effect of oxygen content and microstructure on the thermo-mechanical response of three Ti–6Al–4V alloys: Experiments and modeling over a wide range of strain-rates and temperatures

Cited by 119 publications

References 18 publications

A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates

A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates

Crystal Plasticity Modeling and Experimental Validation with an Orientation Distribution Function for Ti-7Al Alloy

On the Taylor–Quinney coefficient in dynamically phase transforming materials. Application to 304 stainless steel

Contact Info

Product

Resources

About