Deformation and recrystallization of hexagonal metals: modeling and experimental results for zinc

Solas, Denis; Tomé, Carlos N.; Engler, Olaf; Wenk, Hans‐Rudolf

doi:10.1016/s1359-6454(01)00261-0

Cited by 77 publications

(45 citation statements)

References 28 publications

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“…The spatial distribution of cold-work can be quantified by deformation models such as crystal-plasticity techniques [39,43] or direct measurements based on imagequality maps derived from electron-backscatter-diffraction (EBSD) [44,45]. Because of the complexity of the microstructure developed during the cold deformation of CP Ti, the EBSD image-quality-map approach is preferable.…”

Section: Recrystallization Of Alpha Titaniummentioning

confidence: 99%

Modeling and Simulation of Texture Evolution During the Thermomechanical Processing of Titanium Alloys (PREPRINT)

Semiatin¹,

Shevchenko²,

Ивасишин³

et al. 2008

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Department of Defense, Washington Headquarters Services, Directorate for Information SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Air Force Research Laboratory SPONSORING/MONITORING AGENCY ACRONYM(S) SPONSORING/MONITORING AGENCY REPORT NUMBER(S) AFRL-RX-WP-TP-2008-4352 DISTRIBUTION/AVAILABILITY STATEMENTApproved for public release; distribution unlimited. SUPPLEMENTARY NOTESPaper submitted to the ASM Handbook, Vol. 22-Modeling and Simulation: Processing of Metallic Materials. PAO Case Number: WPAFB 08-5083; Clearance Date: 18 Aug 2008. The U.S. Government is joint author of this work and has the right to use, modify, reproduce, release, perform, display, or disclose the work. Paper contains color. ABSTRACTThe development of crystallographic texture, the preferred orientation of grains in a polycrystalline aggregate, during thermomechanical processing (TMP) can play an important role with regard to the secondary-forming response (e.g., deep drawing of sheet) and service performance (e.g., strength, elastic modulus, ductility, fracture toughness) of metallic materials. Crystallographic texture, or simply texture for succinctness, may arise as a result of large-strain deformation, dynamic/static recrystallization, grain growth, or phase transformation [1]. A second form of anisotropy, mechanical texturing or mechanical fibering, refers to the alignment of microstructure, inclusions, etc., during deformation processes and may also affect mechanical properties such as ductility and fracture toughness. This latter form of texture is not discussed in the present article.

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Section: Recrystallization Of Alpha Titaniummentioning

confidence: 99%

Modeling and Simulation of Texture Evolution During the Thermomechanical Processing of Titanium Alloys (PREPRINT)

Semiatin¹,

Shevchenko²,

Ивасишин³

et al. 2008

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“…Bombardment of the growing film with energetic species commonly leads to compressive stresses within the film. A simple model for the stress tensor experienced by a volume of the coating at the position of the ith atom during deposition under bombardment by energetic species may be written as (1) where and are interatomic distances and forces, and M i and are the mass and velocity of depositing species [41]. The first term on the right-hand side of Eq.…”

Section: Stress-induced Ha Texture and Ttcp Formationmentioning

confidence: 99%

“…Texture formation and its effect on materials properties have been studied extensively in metals [1][2][3] and geological materials [4][5][6] since the late 1940s, when the introduction of pole figure goniometers allowed the use of X-ray diffraction (XRD) as a quantitative tool in the determination of orientation distributions in polycrystals [7]. A growing literature exists as well in texturing of bulk and thin film ceramics as these systems have gained greater technological importance over the past decade [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Crystallographic texture in pulsed laser deposited hydroxyapatite bioceramic coatings

et al. 2007

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The orientation texture of pulsed laser deposited hydroxyapatite coatings was studied by X-ray diffraction techniques. Increasing the laser energy density of the KrF excimer laser used in the deposition process from 5 to 7 J/cm 2 increases the tendency for the c-axes of the hydroxyapatite grains to be aligned perpendicular to the substrate. This preferred orientation is most pronounced when the incidence direction of the plume is normal to the substrate. Orientation texture of the hydroxyapatite grains in the coatings is associated with the highly directional and energetic nature of the ablation plume. Anisotropic stresses, transport of hydroxyl groups and dehydroxylation effects during deposition all seem to play important roles in the texture development.

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“…In past years, the input microstructure and texture were often assumed to be random [12,13]. However these assumptions are seldom verified and different procedures were developed to introduce real deformed microstructure [14,15] or simulated deformed microstructure [16,17,18,19] as input data in the recrystallization simulation.…”

Section: Materials Supplied By Aubert and Duval Who Cofinance This Studymentioning

confidence: 99%

“…The stored energy is the result of the Finite Element calculation which gives the local dislocation density. The grain boundary energy depends on the misorientation of a given site with respect to its 6 neighbours [16]:…”

Section: Crystalline Approachmentioning

confidence: 99%

Polycrystalline Modelling of Udimet 720 Forging

Thébault¹,

Solas²,

Rey³

et al. 2008

Superalloys 2008 (Eleventh International Symposium)

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A crystalline modelling of deformation implemented in a finite element code coupled to a recrystallization Cellular Automaton code is proposed and applied to forging processes of superalloys. The coupled modelling is used in order to obtain a better understanding of the microstructural evolution of superalloys during high temperature forging at different strain rates and temperatures. The framework of the modelling is large plastic deformation and large lattice rotation. The used internal variables are dislocations densities on slip systems of the different phases. Modelling is based on viscoplatic constitutive and hardening laws at the scale of the slip systems and describes local strain and stress fields as well as the stored energy and the rotation of the lattice in the grains of the microstructure. At different steps of deformation, formation of subgrains, annihilation of dislocations, nucleation, growth and new orientation of grains are computed. The 3D aggregates representing the superalloy, are built up from Electron Back Scattered Diffraction method (EBSD) by means of a high resolution Scanning Electron Microscope. The phases are identified by means of EBSD, chemical analysis (EDS) and observations with a Scanning Electron Microscope. In this paper the studied aggregate is realised from a semi product of Udimet 720. Such technique is able to give us, a realistic description of the crystalline orientation, morphology and position of grains in the aggregate. The Finite Element meshing is deduced from the EBSD analysis. At high temperature, the Udimet 720 is constituted by a γ matrix with a Face Centred Cubic structure (FCC) and γ' precipitates (Ni 3 (Ti,Al)) with a Simple Cubic structure (SC). The various material parameters used for the coupled modelling are previously determined from compression tests performed at several strain rate and temperature; The dislocation densities are measured from Transmission Electronic Microscope.

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Deformation and recrystallization of hexagonal metals: modeling and experimental results for zinc

Cited by 77 publications

References 28 publications

Modeling and Simulation of Texture Evolution During the Thermomechanical Processing of Titanium Alloys (PREPRINT)

Modeling and Simulation of Texture Evolution During the Thermomechanical Processing of Titanium Alloys (PREPRINT)

Crystallographic texture in pulsed laser deposited hydroxyapatite bioceramic coatings

Polycrystalline Modelling of Udimet 720 Forging

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