4.7 Article

Accurate electron channeling contrast analysis of a low angle sub-grain boundary

期刊

SCRIPTA MATERIALIA
卷 109, 期 -, 页码 76-79

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.scriptamat.2015.07.023

关键词

HR-SACP assisted ECCI; Electron backscattering diffraction (EBSD); Grain boundary structure; Misorientation; Dislocation structure

资金

  1. University of Lorraine
  2. LABEX DAMAS

向作者/读者索取更多资源

High resolution selected area channeling pattern (HR-SACP) assisted accurate electron channeling contrast imaging (A-ECCI) was used to unambiguously characterize the structure of a low angle grain boundary in an interstitial-free-steel. The boundary dislocations were characterized using TEM-style contrast analysis. The boundary was determined to be tilt in nature with a misorientation angle of 0.13 degrees consistent with the HR-SACP measurements. The results were verified using high accuracy electron backscatter diffraction (EBSD), confirming the approach as a discriminating tool for assessing low angle boundaries. (C) 2015 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Microscopy

Ultra-high spatial resolution selected area electron channeling patterns

R. D. Kerns, S. Balachandran, A. H. Hunter, M. A. Crimp

ULTRAMICROSCOPY (2020)

Article Materials Science, Multidisciplinary

Spherical indexing of overlap EBSD patterns for orientation-related phases - Application to titanium

W. C. Lenthe, L. Germain, M. R. Chini, N. Gey, M. De Graef

ACTA MATERIALIA (2020)

Article Nanoscience & Nanotechnology

Elasto-viscoplastic tensile behavior of as-forged Ti-1023 alloy: Experiments and micromechanical modeling

Safaa Lhadi, Ravi Raj Purohit Purushottam Raj Purohit, Thiebaud Richeton, Nathalie Gey, Stephane Berbenni, Olivier Perroud, Lionel Germain

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2020)

Article Materials Science, Biomaterials

3D printed bioactive and antibacterial silicate glass-ceramic scaffold by fused filament fabrication

Adam C. Marsh, Yaozhong Zhang, Lucrezia Poli, Neal Hammer, Aljoscha Roch, Martin Crimp, Xanthippi Chatzistavrou

Summary: The FFF technique was successfully used to fabricate novel 3D printed silicate bioactive and antibacterial Ag-doped glass-ceramic (Ag-BG) scaffolds. The developed Ag-BG filaments showed promising characteristics for orthopedic applications, with excellent compressive strength and antibacterial effects demonstrated in vitro.

MATERIALS SCIENCE & ENGINEERING C-MATERIALS FOR BIOLOGICAL APPLICATIONS (2021)

Article Nanoscience & Nanotechnology

Huge local elastic strains in bulk nanostructured pure zirconia materials

Taylan Ors, Fanny Gouraud, Vincent Michel, Marc Huger, Nathalie Gey, Jean-Sebastien Micha, Olivier Castelnau, Rene Guinebretiere

Summary: Pure zirconia undergoes two solid-state phase transitions from the liquid state to room temperature, with the last transition being martensitic and leading to large volume variations and shear strains. Elastic and inelastic behaviors of zirconia-based materials are strongly influenced by the strain and stress fields induced by this transition. The strains map at the crystal scale in zirconia polycrystals shows huge fluctuations in deviatoric elastic strain, with associated stress levels in the range of 5 GPa and stress gradients of 1 GPa μm(-1).

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING (2021)

Article Materials Science, Multidisciplinary

Comparison of EBSD, DIC, AFM, and ECCI for active slip system identification in deformed Ti-7Al

Ryan Sperry, Songyang Han, Zhe Chen, Samantha H. Daly, Martin A. Crimp, David T. Fullwood

Summary: This study assessed the use of various methods including SEM-DIC, AFM, ECCI, and HR-EBSD to characterize slip-system activity on Ti-7Al material. The comparison presented the advantages, disadvantages, and effective complementary use of these methods. The study showed that by using these methods in tandem, multi-modal information on slip band identification, strain and orientation gradients, and the presence of GNDs and SSDs can be obtained to inform and validate dislocation-based crystal plasticity models.

MATERIALS CHARACTERIZATION (2021)

Article Materials Science, Multidisciplinary

Estimating single-crystal elastic constants of polycrystalline βmetastable titanium alloy: A Bayesian inference analysis based on high energy X-ray diffraction and micromechanical modeling

Ravi Raj Purohit Purushottam Raj Purohit, Thiebaud Richeton, Stephane Berbenni, Lionel Germain, Nathalie Gey, Thomas Connolley, Olivier Castelnau

Summary: In this study, a Bayesian framework was used to identify the three cubic elastic constants of the beta phase in the Ti-1023 alloy. The study also revealed that the grain aspect ratio is an important parameter affecting the identified single-crystal elastic constants.

ACTA MATERIALIA (2021)

Article Materials Science, Multidisciplinary

Experimental and numerical investigation of key microstructural features influencing the localization of plastic deformation in Fe-TiB2 metal matrix composite

J. Genee, N. Gey, F. Bonnet, R. A. Lebensohn, S. Berbenni

Summary: This study investigated the plastic deformation mechanism of an iron-based matrix composite reinforced by TiB2 particles through experiments and numerical simulations. The results showed that GNDs tend to accumulate at matrix/particle interfaces, with hot-spots located at the tips of elongated particles. The key influence of two main microstructural features, particle morphology and particle clustering, on the distribution of GNDs was highlighted.

JOURNAL OF MATERIALS SCIENCE (2021)

Article Materials Science, Multidisciplinary

Predicting shear transmission across grain boundaries with an iterative stress relief model

Yang Su, Songyang Han, Philip Eisenlohr, Martin A. Crimp

Summary: A new model has been proposed to predict the specific deformation system activity at grain boundaries, with promising results in testing. The optimized parameters indicate that both local and global stresses play a role in determining the accommodating systems and their activity. The model's predictions align well with literature values for alpha-titanium.

ACTA MATERIALIA (2021)

Article Engineering, Multidisciplinary

Elastic recovery induced strengthening effect in copper/ multilayer-graphene interface regions revealed by instrumental nanoindentation

Xueliang Wang, Yang Su, Songyang Han, Martin A. Crimp, Yaping Wang, Yu Wang

Summary: The study found that the elastic recovery behavior induced by MLG significantly increased the hardness in the Cu/MLG interface region, and also revealed the gradient strengthening effect, which can be used to precisely enhance the mechanical performance of copper matrix composite materials by adjusting the interfacial microstructure and properties.

COMPOSITES PART B-ENGINEERING (2021)

Article Materials Science, Multidisciplinary

Deep Learning for automated phase segmentation in EBSD maps. A case study in Dual Phase steel microstructures

T. Martinez Ostormujof, R. R. P. Purushottam Raj Purohit, S. Breumier, N. Gey, M. Salib, L. Germain

Summary: This study explores the application of Convolutional Neural Networks in extracting features from EBSD data for automatic phase classification, using ferrite-martensite discrimination as a case study. The results show that utilizing orientation-derived parameters can improve classification accuracy, and the proposed models achieve higher accuracies in shorter times compared to other methods.

MATERIALS CHARACTERIZATION (2022)

Article Materials Science, Multidisciplinary

Leveraging EBSD data by deep learning for bainite, ferrite and martensite segmentation

S. Breumier, T. Martinez Ostormujof, B. Frincu, N. Gey, A. Couturier, N. Loukachenko, P. E. Aba-perea, L. Germain

Summary: In this study, a U-Net model was trained to segment bainite, ferrite, and martensite on EBSD maps using the kernel average misorientation and the pattern quality index as input. The introduction of an unknown class during training simplified the manual labeling process. The investigation of providing maps with different acquisition steps, indexation quality, and constituent content to the model highlighted the significance of training the model with a diverse range of configurations. The model achieved a 92% mean accuracy in differentiating the three constituents. The inclusion of an additional channel containing the map acquisition step aided the model in generalizing to various EBSD acquisition steps.

MATERIALS CHARACTERIZATION (2022)

Article Physics, Applied

Investigation of the effect of structural defects from hydride precipitation on superconducting properties of high purity SRF cavity Nb using magneto-optical and electron imaging methods

Mingmin Wang, Anatolii Polyanskii, Shreyas Balachandran, Santosh Chetri, Martin A. Crimp, Peter J. Lee, Thomas R. Bieler

Summary: This study investigates the effects of grain boundaries, hydrogen, and dislocations on the superconducting properties of Nb bi-crystals. It is found that both GB character and hydrogen content affect magnetic flux penetration, while dislocation structures and low angle GBs facilitate flux penetration.

SUPERCONDUCTOR SCIENCE & TECHNOLOGY (2022)

Article Engineering, Mechanical

A microstructure-based three-scale homogenization model for predicting the elasto-viscoplastic behavior of duplex stainless steels

Eyram Tsekpuia, Adrien Guery, Nathalie Gey, Stephane Berbenni

Summary: A new microstructure-informed three-scale homogenization scheme is developed to predict the mechanical behavior of cast duplex AF steels. The scheme models the elasto-viscoplastic behavior of single crystals at the microscale and an EBSD-informed two-phase laminate structure model at the mesoscale. The macroscale considers a single primary grain as an aggregate of spherical two-phase laminate structure domains. The results provide insights into the stress/strain responses in different phases and the effects of crystallographic orientation and aging.

INTERNATIONAL JOURNAL OF PLASTICITY (2023)

Article Nanoscience & Nanotechnology

High dielectric temperature stability in the relaxor ferroelectric thin films via using a multilayer heterostructure

Jie Zhang, Xiaoyang Chen, MingJian Ding, Jiaqiang Chen, Ping Yu

Summary: This study enhances the compositional inhomogeneity of relaxor ferroelectric thin films to improve their dielectric temperature stability. The prepared films exhibit a relatively high dielectric constant and a very low variation ratio of dielectric constant over a wide temperature range.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

A rational proton compensation strategy of polyaniline-MnO2 hybrid structure for promoting dual ion storage of Zn-ion battery

Xiaoyu Chen, Ranran Zhang, Hao Zou, Ling Li, Qiancheng Zhu, Wenming Zhang

Summary: Polyaniline-manganese dioxide composites exhibit high conductivity, long discharge platform, and stable circulation, and the specific capacity is increased by providing additional H+ ions to participate in the reaction.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

High-resolution reconstruction-based investigation of multi-scale lamellar microstructures by coupled crystal plasticity and in-situ experiment

Xutao Huang, Yinping Chen, Jianjun Wang, Gang Lu, Wenxin Wang, Zan Yao, Sixin Zhao, Yujie Liu, Qian Li

Summary: This study aims to establish a novel approach to better understand and predict the behavior of materials with multi-scale lamellar microstructures. High-resolution reconstruction and collaborative characterization methods are used to accurately represent the microstructure. The mechanical properties of pearlite are investigated using crystal plasticity simulation and in-situ scanning electron microscopy tensile testing. The results validate the reliability of the novel strategy.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Planar fault transformation and unfaulting of interstitial dislocation loops in irradiated L12-Ni3Al

Cheng Chen, Fanchao Meng, Jun Song

Summary: This study systematically investigated the unfaulting mechanism of single-layer interstitial dislocation loops in irradiated L12-Ni3Al. The unfaulting routes of the loops were uncovered and the symmetry breaking during the unfaulting processes was further elucidated. A continuum model was formulated to analyze the energetics of the loops and predict the unfaulting threshold.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

On the co-nucleation of adjoining twin pairs at grain boundaries in hexagonal close-packed materials

Darshan Bamney, Laurent Capolungo

Summary: This work investigates the formation of adjoining twin pairs (ATPs) at grain boundaries (GBs) in hexagonal close-packed (hcp) metals, focusing on the co-nucleation (CN) of pairs of deformation twins. A continuum defect mechanics model is proposed to study the energetic feasibility of CN of ATPs resulting from GB dislocation dissociation. The model reveals that CN is preferred over the nucleation of a single twin variant for low misorientation angle GBs. Further analysis considering GB character and twin system alignment suggests that CN events could be responsible for ATP formation even at low m' values.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Sharp/diffuse antiferroelectric-ferroelectric phase transition regulated by atomic displacement ordering

Bing Han, Zhengqian Fu, Guoxiang Zhao, Xuefeng Chen, Genshui Wang, Fangfang Xu

Summary: This study investigates the behavior of electric-field induced antiferroelectric to ferroelectric (AFE-FE) phase transition and reveals the evolution of atomic displacement ordering as the cause for the transition behavior changing from sharp to diffuse. The novel semi-ordered configuration results from the competing interaction between long-range displacement modulation and compositional inhomogeneity, which leads to a diffuse AFE-FE transition while maintaining the switching field.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Size-effects in tensile fracture of rejuvenated and annealed metallic glass

Akib Jabed, Golden Kumar

Summary: This study demonstrates that cryogenic rejuvenation promotes homogeneous-like flow and increases ductility in metallic glass samples. Conversely, annealing has the opposite effect, resulting in a smoother fracture surface.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Heterogeneous distribution of isothermal ω precipitates prevents brittle fracture in aged β-Ti alloys

Xin Ji, Yan Chong, Satoshi Emura, Koichi Tsuchiya

Summary: A heterogeneous microstructure in Ti-15Mo-3Al alloy with heterogeneous distributions of Mo element and omega(iso) precipitates has achieved a four-fold increase in tensile ductility without a loss of tensile strength, by blocking the propagation of dislocation channels and preventing the formation of micro-cracks.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Machine-learning-aided density functional theory calculations of stacking fault energies in steel

Amit Samanta, Prasanna Balaprakash, Sylvie Aubry, Brian K. Lin

Summary: This study proposes a combined large-scale first principles approach with machine learning and materials informatics to quickly explore the chemistry-composition space of advanced high strength steels (AHSS). The distribution of aluminum and manganese atoms in iron is systematically explored using first principles calculations to investigate low stacking fault energy configurations. The use of an automated machine learning tool, DeepHyper, speeds up the computational process. The study provides insights into the distribution of aluminum and manganese atoms in systems containing stacking faults and their effects on the equilibrium distribution.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

A physics-constrained neural network for crystal plasticity modelling of FCC materials

Guowei Zhou, Yuanzhe Hu, Zizheng Cao, Myoung Gyu Lee, Dayong Li

Summary: In this work, a physics-constrained neural network is used to predict grain-level responses in FCC material by incorporating crystal plasticity theory. The key feature, shear strain rate of slip system, is identified based on crystal plasticity and incorporated into the loss function as physical constitutive equations. The introduction of physics constraints accelerates the convergence of the neural network model and improves prediction accuracy, especially for small-scale datasets. Transfer learning is performed to capture complex in-plane deformation of crystals with any initial orientations, including cyclic loading and arbitrary non-monotonic loading.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Lanthanum and tungsten co-doped ruthenium dioxide for fresh/sea-water alkaline hydrogen evolution reaction

Pengfei Yang, Qichang Li, Zhongying Wang, Yuxiao Gao, Wei Jin, Weiping Xiao, Lei Wang, Fusheng Liu, Zexing Wu

Summary: In this study, the HER performance of Ru-based catalysts is significantly improved through the dual-doping strategy. The obtained catalyst exhibits excellent performance in alkaline freshwater and alkaline seawater, and can be stably operated in a self-assembled overall water splitting electrolyzer.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Five-fold twin structures in sputter-deposited nickel alloy films

Ilias Bikmukhametov, Garritt J. Tucker, Gregory B. Thompson

Summary: Depositing a Ni-1at. % P film can facilitate the formation of multiple quintuple twin junctions, resulting in a five-fold twin structure and a pentagonal pyramid surface topology. The ability to control material structures offers opportunities for creating novel surface topologies, which can be used as arrays of field emitters or textured surfaces.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Explainable predictions of multi-component oxides enabled by attention-based neural networks

Zening Yang, Weiwei Sun, Zhengyu Sun, Mutian Zhang, Jin Yu, Yubin Wen

Summary: Multicomponent oxides (MCOs) have wide applications and accurately predicting their thermal expansion remains challenging. This study introduces an innovative attention-based deep learning model, which achieves improved performance by using two self-attention modules and demonstrates adaptability and interpretability.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Relating the combinatorial materials chip mapping to the glass-forming ability of bulk metallic glasses via diffraction peak width

Ze Liu, Cai Chen, Yuanxun Zhou, Lanting Zhang, Hong Wang

Summary: This study attempts to address the gap in cooling rates between thin film deposition and bulk metallic glass (BMG) casting by correlating the glass-forming range (GFR) determined from combinatorial materials chips (CMCs) with the glass-forming ability (GFA) of BMG. The results show that the full-width at half maximum (FWHM) of the first sharp diffraction peak (FSDP) is a good indicator of BMG GFA, and strong positive correlations between FWHM and the critical casting diameter (Dmax) are observed in various BMG systems. Furthermore, the Pearson correlation coefficients suggest possible similarities in the GFA natures of certain BMG pairs.

SCRIPTA MATERIALIA (2024)

Article Nanoscience & Nanotechnology

Effect of stacking fault energy on the thickness and density of annealing twins in recrystallized FCC medium and high-entropy alloys

Mike Schneider, Jean-Philippe Couzinie, Amin Shalabi, Farhad Ibrahimkhel, Alberto Ferrari, Fritz Koermann, Guillaume Laplanche

Summary: This work aims to predict the microstructure of recrystallized medium and high-entropy alloys, particularly the density and thickness of annealing twins. Through experiments and simulations, a database is provided for twin boundary engineering in alloy development. The results also support existing theories and empirical relationships.

SCRIPTA MATERIALIA (2024)