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Topical Collection "Textures and Anisotropy in Advanced Materials"

Editor

Guest Editor
Prof. Dr. Daniel Chateigner

Normandie Université, Caen, France
Website | E-Mail
Interests: crystallography; combined analysis; anisotropic properties; texture; materials

Topical Collection Information

Dear Colleagues,

The anisotropic properties of polycrystalline aggregates are strongly influenced by the preferred orientation (texture) of their constituting crystals. Beneficiation of such textures is conducted in order to optimize macroscopic properties in specific directions. A plethora of elaboration techniques have been developed for this optimization, resulting in various sample dimensionalities, from nanofibers and thin architectures to large bulks and composites. Initial mechanical forces used in rolling, casting, etc., developed to shape textured metallic alloys, today range in techniques using other orientation forces, such as electrical and magnetic fields, thermal gradients, spark plasmas, substrates, etc. All fields of materials science are concerned, such as shape memory alloys, semiconductors, superconductors, thermoelectrics, magnetics, ferroelectrics, polymers, ionic conductors, metals, etc. As a result, elaborated materials are of increasing architectural complexity, often composed of low crystal symmetry and multiphased, and Quantitative Texture Analysis (QTA) tools evolved for their characterization. Usual QTA, using X-ray, electron, and neutron scattering, progressively incorporated the characterization of residual stresses, crystal defects, and their variations in samples, giving rise to the new concept of Combined Analysis to take into account as many of the possible aspects of the actual material. Additionally, the representation and simulation of the resulting properties, using direct tensor homogenizations and first-principle calculations, holds an important place in the understanding of a material’s behavior.

In this Special Issue, we aim at reviewing recent aspects of texture application to advanced materials of all kinds, from anisotropic elaboration techniques to the resulting anisotropic properties, and via their scattering and spectroscopic characterization and simulation. New process developments, characterization techniques, simulations, and databases linked to anisotropy are targeted.

Prof. Dr. Daniel Chateigner
Guest Editor

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Keywords

  • texture analysis
  • tensor homogenization
  • tensor property
  • anisotropy
  • orientation distribution
  • DFT
  • spectroscopies
  • databases
  • modeling
  • 3D printing
  • shape memory alloys
  • magnetic texture
  • superconductors
  • semiconductors
  • thermoelectrics
  • ferroelectrics
  • piezoelectrics
  • batteries
  • polymers

Published Papers (5 papers)

2018

Jump to: 2017

Open AccessArticle Composition Optimization and Mechanical Properties of Mg-Al-Sn-Mn Alloys by Orthogonal Design
Materials 2018, 11(8), 1424; https://doi.org/10.3390/ma11081424
Received: 4 July 2018 / Revised: 6 August 2018 / Accepted: 10 August 2018 / Published: 13 August 2018
Cited by 1 | PDF Full-text (7060 KB) | HTML Full-text | XML Full-text
Abstract
Nine kinds of rare-earth free Mg-Al-Sn-Mn magnesium alloys were designed by orthogonal method. Scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), X-ray diffraction (XRD), electron backscatter diffraction (EBSD), and tension tests were carried out to investigate the microstructures and mechanical properties. As-cast Mg-Al-Sn-Mn
[...] Read more.
Nine kinds of rare-earth free Mg-Al-Sn-Mn magnesium alloys were designed by orthogonal method. Scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), X-ray diffraction (XRD), electron backscatter diffraction (EBSD), and tension tests were carried out to investigate the microstructures and mechanical properties. As-cast Mg-Al-Sn-Mn alloys have an obvious dendritic structure that is composed of α-Mg, Mg17Al12, and Mg2Sn phases. After hot extrusion, the cast dendrite structure changed into a recrystallized equiaxed grain. Mg17Al12 dissolved completely into a matrix, and only α-Mg, Mg2Sn, and a few Al-Mn phases could be observed. The influence of three alloy elements (Al, Sn, and Mn) on grain size, texture intensity, ultimate tensile strength (UTS), tensile yield strength (TYS), and elongation (EL) were studied by extreme difference analysis method. The content of Mn had the greatest influence on grain size. The AT61-0.2Mn and AT73-0.2Mn alloys had the smallest grain, reaching 6.8 μm. The content of Al had the greatest influence on the strength; therefore, the AT73-0.2Mn alloy had the highest UTS, 322 MPa, and TYS, 202 MPa. The content of Sn had the greatest influence on elongation. The AT52-0.4Mn alloy had the highest elongation in theory, but it was not included in the nine designed kinds of alloys yet. AT52-0.2Mn alloy had the highest elongation in the nine alloys (28.4%). Full article
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2017

Jump to: 2018

Open AccessArticle Extraction of the Anisotropic Plasticity of Metal Materials by Using Inverse Analysis and Dual Indentation Tests
Materials 2018, 11(1), 12; https://doi.org/10.3390/ma11010012
Received: 9 November 2017 / Revised: 17 December 2017 / Accepted: 19 December 2017 / Published: 22 December 2017
Cited by 1 | PDF Full-text (5451 KB) | HTML Full-text | XML Full-text
Abstract
In this paper, a novel inverse computation approach is proposed to extract the anisotropic plasticity parameters of metal materials by using inverse analysis and dual indentation tests. Based on dimensional analysis and extensive finite element (FE) simulations, four independent dimensionless functions are derived
[...] Read more.
In this paper, a novel inverse computation approach is proposed to extract the anisotropic plasticity parameters of metal materials by using inverse analysis and dual indentation tests. Based on dimensional analysis and extensive finite element (FE) simulations, four independent dimensionless functions are derived to correlate the anisotropic plasticity parameters with material responses in dual indentation tests. Besides, an inverse calculation algorithm is suggested, to estimate the unknown anisotropic parameters of the indented specimens using the information collected from indentation. The proposed numerical approach is applied on a series of engineering materials. Results show that the inverse analysis is ill-posed when only the load-displacement (P-h) curves in dual indentation tests were used. This problem can be effectively alleviated by introducing the pile-up effect as the additional information. The new method is proved to be very effective and reliable. Full article
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Open AccessArticle Multiscale Modeling of Polycrystalline NiTi Shape Memory Alloy under Various Plastic Deformation Conditions by Coupling Microstructure Evolution and Macroscopic Mechanical Response
Materials 2017, 10(10), 1172; https://doi.org/10.3390/ma10101172
Received: 19 September 2017 / Revised: 29 September 2017 / Accepted: 11 October 2017 / Published: 13 October 2017
Cited by 2 | PDF Full-text (4965 KB) | HTML Full-text | XML Full-text
Abstract
Numerical modeling of microstructure evolution in various regions during uniaxial compression and canning compression of NiTi shape memory alloy (SMA) are studied through combined macroscopic and microscopic finite element simulation in order to investigate plastic deformation of NiTi SMA at 400 °C. In
[...] Read more.
Numerical modeling of microstructure evolution in various regions during uniaxial compression and canning compression of NiTi shape memory alloy (SMA) are studied through combined macroscopic and microscopic finite element simulation in order to investigate plastic deformation of NiTi SMA at 400 °C. In this approach, the macroscale material behavior is modeled with a relatively coarse finite element mesh, and then the corresponding deformation history in some selected regions in this mesh is extracted by the sub-model technique of finite element code ABAQUS and subsequently used as boundary conditions for the microscale simulation by means of crystal plasticity finite element method (CPFEM). Simulation results show that NiTi SMA exhibits an inhomogeneous plastic deformation at the microscale. Moreover, regions that suffered canning compression sustain more homogeneous plastic deformation by comparison with the corresponding regions subjected to uniaxial compression. The mitigation of inhomogeneous plastic deformation contributes to reducing the statistically stored dislocation (SSD) density in polycrystalline aggregation and also to reducing the difference of stress level in various regions of deformed NiTi SMA sample, and therefore sustaining large plastic deformation in the canning compression process. Full article
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Open AccessFeature PaperArticle Preferred Orientation Contribution to the Anisotropic Normal State Resistivity in Superconducting Melt-Cast Processed Bi2Sr2CaCu2O8+δ
Materials 2017, 10(5), 534; https://doi.org/10.3390/ma10050534
Received: 7 April 2017 / Revised: 6 May 2017 / Accepted: 12 May 2017 / Published: 15 May 2017
Cited by 2 | PDF Full-text (3553 KB) | HTML Full-text | XML Full-text | Supplementary Files
Abstract
We describe how the contribution of crystallographic texture to the anisotropy of the resistivity of polycrystalline samples can be estimated by averaging over crystallographic orientations through a geometric mean approach. The calculation takes into account the orientation distribution refined from neutron diffraction data
[...] Read more.
We describe how the contribution of crystallographic texture to the anisotropy of the resistivity of polycrystalline samples can be estimated by averaging over crystallographic orientations through a geometric mean approach. The calculation takes into account the orientation distribution refined from neutron diffraction data and literature values for the single crystal resistivity tensor. The example discussed here is a melt-cast processed Bi2Sr2CaCu2O8+δ (Bi-2212) polycrystalline tube in which the main texture component is a <010> fiber texture with relatively low texture strength. Experimentally-measured resistivities along the longitudinal, radial, and tangential directions of the Bi-2212 tube were compared to calculated values and found to be of the same order of magnitude. Calculations for this example and additional simulations for various texture strengths and single crystal resistivity anisotropies confirm that in the case of highly anisotropic phases such as Bi-2212, even low texture strengths have a significant effect on the anisotropy of the resistivity in polycrystalline samples. Full article
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Open AccessFeature PaperReview Crystallographic Characterization on Polycrystalline Ni-Mn-Ga Alloys with Strong Preferred Orientation
Materials 2017, 10(5), 463; https://doi.org/10.3390/ma10050463
Received: 9 March 2017 / Revised: 13 April 2017 / Accepted: 25 April 2017 / Published: 27 April 2017
Cited by 2 | PDF Full-text (11709 KB) | HTML Full-text | XML Full-text
Abstract
Heusler type Ni-Mn-Ga ferromagnetic shape memory alloys can demonstrate excellent magnetic shape memory effect in single crystals. However, such effect in polycrystalline alloys is greatly weakened due to the random distribution of crystallographic orientation. Microstructure optimization and texture control are of great significance
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Heusler type Ni-Mn-Ga ferromagnetic shape memory alloys can demonstrate excellent magnetic shape memory effect in single crystals. However, such effect in polycrystalline alloys is greatly weakened due to the random distribution of crystallographic orientation. Microstructure optimization and texture control are of great significance and challenge to improve the functional behaviors of polycrystalline alloys. In this paper, we summarize our recent progress on the microstructure control in polycrystalline Ni-Mn-Ga alloys in the form of bulk alloys, melt-spun ribbons and thin films, based on the detailed crystallographic characterizations through neutron diffraction, X-ray diffraction and electron backscatter diffraction. The presented results are expected to offer some guidelines for the microstructure modification and functional performance control of ferromagnetic shape memory alloys. Full article
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