2019
DOI: 10.1016/j.commatsci.2019.02.005
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Representative volume element (RVE) based crystal plasticity study of void growth on phase boundary in titanium alloys

Abstract: Crystal plasticity based finite element method (CPFEM) studies have been successfully used to model different material behaviour and phenomenon, including but not limited to; fatigue, creep and texture evolution. This capability can be extended to include the ductile damage and failure in the model. Ductile failure in metals is governed by void nucleation, growth, and coalescence. High strength titanium alloys can be formed from sheets and components and are prone to ductile failure. α-β Titanium alloys are in… Show more

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Cited by 32 publications
(23 citation statements)
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“…The porous crystal plasticity model and the relationship between void growth, strain, stress triaxiality, initial void size and crystal orientation have been discussed by other authors [32,33,34] so only a summary is given here. Void fraction evolution is defined as follows;…”
Section: Figurementioning
confidence: 99%
“…The porous crystal plasticity model and the relationship between void growth, strain, stress triaxiality, initial void size and crystal orientation have been discussed by other authors [32,33,34] so only a summary is given here. Void fraction evolution is defined as follows;…”
Section: Figurementioning
confidence: 99%
“…[18] In the literature, CP models are often extended to include the effects of pore growth and coalescence. [19][20][21] In the works of Asim et al, [22,23] they have investigated the void growth in a dual-phase Ti alloy at the interface of dissimilar α-β crystals. Chen et al [24] have analyzed the void growth on grain boundaries in Ni-based superalloys.…”
Section: Introductionmentioning
confidence: 99%
“…Note that equations (3) and (4) eliminate the traditional material modelling step which requires material constitutive law, σtrue¯e=σ^e(ɛtrue¯e,ɛ·true¯e,σfe,tde,αtrue¯or). Such constitutive models comprise of a large number of unknown material parameters which are required to be identified through tedious inverse modelling (for details see literature 28,35,5153 and references therein) and is eliminated through DDFEM framework.…”
Section: Data-driven Finite Element Methodsmentioning
confidence: 99%
“…Some of these challenges include, formulation of complex material constitutive models (for e.g. (19,20,29,(21)(22)(23)(24)(25)(26)(27)(28) and references therein) which incorporate underlying physical mechanisms, and identification of a large number of material parameters (19,24,37,38,27,(30)(31)(32)(33)(34)(35)(36). Presently, no unified material constitutive model exists which incorporates all physical mechanisms and their interactions.…”
Section: Introductionmentioning
confidence: 99%
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