Deformation of titanium alloy Ti–6Al–4V under dynamic compression

Behavior and modeling of high temperature deformation of an α+β titanium alloy

“…During the study of microstructure, shear bands observed in Refs. [16,25] were not obviously found in our paper. Several facts can account for this difference.…”

“…In Refs. [16,17], the quantifiable effect of friction coefficient on the deformation behavior of titanium alloy under dynamic compression was systematically simulated and it was found that friction was a major cause of localized deformation. So, to weaken the influence of friction, high temperature graphite sheet lubricant was used on each end of the specimens for gaining a uniform deformation.…”

Modelling of dominant softening mechanisms for Ti-6Al-4V in steady state hot forming conditions

“…where Z¼0.9, is the fraction of the heat dissipation caused by plastic deformation and c, d are specific heat and mass density, respectively [8,25,26]. The temperature increase is computed numerically.…”

“…In this work, adiabatic heating has been included in the set of constitutive equations by assuming 90% of the plastic work becomes heat [8]. For hot working, thermal softening from adiabatic deformation was effectively considered by converting the increment of temperature from the stress-strain curve using [24,25] …”

Temperature dependent work hardening in Ti–6Al–4V alloy over large temperature and strain rate ranges: Experiments and constitutive modeling

“…Nemat-Nasser et al [3] developed a concise physical based model that consisted of 8 constants, which were determined by the compression tests of Ti-64 alloy, considering the effect of strain aging. Although some models with fewer constants, for example, the Johnson and Cook (J-C) model and Khan-Huang-Liang (KHL) model, have 5 or 6 constants, they can also give high accurate prediction of flow stresses [14,27]. With identical prediction accuracy, models with less constants are easier to be applied in modeling of the machining process, for example, the J-C model has been widely utilized in numerical modeling for material forming, especially in large deformation machining, i.e., metal cutting.…”