Article
Construction & Building Technology
Hamza Beddaa, Francis Lavergne, Amor Ben Fraj, Jean-Francois Barthelemy, Jean-Michel Torrenti
Summary: The effects of substituting coarse aggregates with Corbicula shells on the mechanical and durability properties of concrete are evaluated through experiments and micromechanical modeling. Partial substitution does not significantly impact key properties, but complete substitution results in decreased slump, increased porosity, and increased carbonation depth. The mechanical properties of the concrete, such as Young's modulus and compressive strength, decrease linearly with the incorporation of Corbicula shells. Micromechanical models reveal that the weak adhesion between the shells and cementitious matrix explains the reduced stiffness and compressive strength of the concrete.
CEMENT & CONCRETE COMPOSITES
(2022)
Article
Engineering, Civil
Anastasios Drougkas
Summary: Masonry structures composed of two material phases with different elastic properties exhibit strong orthotropy. The different bond typologies used in masonry walls result in complex stress and strain interactions. The high volume ratio of units complicates classical homogenisation schemes. The paper proposes a novel approach that combines different mean-field homogenisation schemes for accurate predictions of the elastic properties of masonry bonds.
Article
Engineering, Geological
Sabrina C. Y. Ip, Ronaldo I. I. Borja
Summary: The microstructure of clay rocks is anisotropic, and the interactions between anisotropy at different scales can give rise to emerging properties. This study develops a homogenization model to capture the multiscale interactions of elastic anisotropy in unsaturated clay rocks. The model provides a quantitative link between anisotropy at multiple scales in clay rocks and its macroscopic anisotropic stiffness.
Article
Mechanics
R. Masia, A. R. Sanchez-Majano, A. Pagani
Summary: This paper presents a method for solving micromechanical analyses of periodically heterogeneous materials to compute moisture diffusivity and hygro-elastic characteristics. The model utilizes the Mechanics of Structure Genome (MSG) theory to decouple the multiscale analysis into different steps on global and local levels, reducing computational complexity. The Carrera Unified Formulation (CUF) is employed to incorporate a refined beam theory, resulting in accurate geometric description of the material's curvature. Numerical assessments show excellent agreement with literature benchmarks, validating the proposed method for solving moisture diffusivity and hygro-elasticity problems.
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES
(2023)
Article
Materials Science, Multidisciplinary
O. E. Bamidele, O. A. Ojo
Summary: A new numerical model was developed to study the kinetics of liquid phase bonding, with the results showing that the solute concentration gradient in the liquid plays a crucial role. The study also found that solid-state diffusion affects not only the transition in solidification behavior, but also the kinetics of the bonding process. Additionally, the anomalous increase in solidification completion time during C-TLP bonding can be avoided by TG-TLP bonding with a sufficiently high solute concentration gradient.
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
(2021)
Article
Materials Science, Multidisciplinary
Lucille Despres, Sophie Costil, Jonathan Cormier, Patrick Villechaise, Romain Cariou
Summary: Surface laser texturing is used to enhance mechanical anchoring and adhesion between interfaces of thermal barrier coating systems. This study analyzed microstructural evolutions in different Ni-based single crystal superalloys during infrared nanosecond laser ablation, and compared thermal-affected volumes for different alloys. The research found that all studied single crystal superalloys behaved similarly during nanosecond laser ablation, suggesting possible non-uniform ablation kinetics between different phases of Ni-based alloys.
Article
Materials Science, Multidisciplinary
Shulei Yang, Shufeng Yang, Wei Liu, Jingshe Li, Jinguo Gao, Yi Wang
Summary: The microstructure, elemental segregation, and precipitation of GH4742 superalloy were studied using zonal melting liquid metal cooling (ZMLMC) experiments. The primary dendrite spacing showed a linear correlation with G(-1/2)V(-1/4) at high cooling rates, while the secondary dendrite arm spacing was correlated with (GV)(-0.4) in all cooling rate ranges. The degree of elemental segregation increased and then decreased with increasing cooling rate. The size and morphology of gamma ' precipitates, carbides, and inclusions changed with the solidification rate.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Jingxia Sun, Chao Chen, Jinlai Liu, Jinguo Li
Summary: This study investigated the isothermal oxidation behavior and microstructure stability of two alloys with and without Ru at 900°C, 1000°C, and 1100°C. The addition of Ru significantly decreased the oxidation resistance, leading to the formation of a multilayered oxide scale consisting of NiO, spinel, and Al2O3. The oxidation rate was highest at 1100°C due to severe cracking and peeling of the oxide scale. Compared to the Ru-free alloy, the Ru-containing alloy had a thicker oxide layer and more serious spallation, with Ru oxide found in the spinel layer. Surprisingly, a large number of TCP phases were observed in the alloy matrix, especially in the 2Ru alloy, indicating a decline in microstructure stability caused by poor oxidation resistance.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2023)
Article
Materials Science, Multidisciplinary
Hao Yu, Sosuke Kondo, Ryuta Kasada, Shigeharu Ukai
Summary: To increase the ductility of alumina-forming Co-Cr-Al oxide dispersion strengthened (ODS) superalloys, Ni alloying was introduced. Four grades of Co-20Cr-15Al-xNi (x = 0, 10, 20 and 30) at.% ODS superalloys were fabricated. The addition of Ni inhibited the formation of brittle phase and facilitated ductile fracture, leading to improved strength and ductility.
MATERIALS CHARACTERIZATION
(2023)
Article
Mechanics
A. R. Sanchez-Majano, R. Masia, A. Pagani, E. Carrera
Summary: The study proposes a new approach for thermo-elastic micromechanical analysis, deriving governing equations through Mechanics of Structure Genome, using high-order and geometrically accurate beam finite elements to model microstructures. The advanced models provide accuracy comparable to conventional solid elements with less computational effort, demonstrating validity and efficiency through numerical examples.
COMPOSITE STRUCTURES
(2022)
Article
Mechanics
D. R. Clarke, J. W. Hutchinson
Summary: The stability of cylindrical coaxial fibers made from soft elastomeric materials under electro-static loadings was studied. The stresses and actuated elongation in the perfectly concentric fiber were analyzed, and the critical voltage for stability loss was determined via solution of the non-axisymmetric bifurcation problem.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
(2021)
Article
Mechanics
Jerome Colin
Summary: The equilibrium positions of a dipole of edge dislocations in a nanostructure with a strained two-dimensional layer buried in an infinite-size matrix and a rectangular nanowire at the interface have been determined using Peach-Koehler force calculation. The study specifies the unstable and stable equilibrium positions of the dipole in the horizontal plane in relation to the misfit strain and nanowire aspect ratio in the nanostructure. It also determines the critical misfit below which the dipole has no equilibrium position based on the nanowire size.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
(2022)
Article
Mechanics
Catalin R. R. Picu, Vineet Negi
Summary: Many engineering materials made from fibers undergo compression during fabrication, leading to stiffening due to the formation of fiber contacts. The relation between stress and fiber volume fraction follows a power law form, with input from the structural evolution of mean segment length. In this study, we redefine mean segment length to be exclusively defined by fiber contacts that transmit load. Numerical simulations of compressed fiber assemblies reveal a relationship of rho similar to 1/l(c)(2) at large strains, contradicting purely geometric considerations of rho similar to 1/l(c). These findings have implications for stress-fiber volume fraction relations, with n=3 when rho similar to 1/l(c) and n=2 for rho similar to 1/l(c)(2) in pre-stressed networks. Experimental data comparisons validate these predictions.
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME
(2023)
Article
Chemistry, Physical
Abdullah Alhuzaim, Stano Imbrogno, Moataz M. Attallah
Summary: This study investigated the deposition of Inconel 718 alloy powder using the Direct Laser Deposition (DLD) process, revealing the significant influence of laser power and heat input on grain structure and segregation, allowing for the control of structures with different properties.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Chemistry, Physical
Dong-Min Kim, Chiwon Kim, Cheol-Hyeok Yang, Ji-Un Park, Hi-Won Jeong, Kwang-Hyuk Yim, Hyun-Uk Hong
Summary: This study investigated the influence of heat treatment on the microstructure and high-temperature mechanical properties of Inconel 740H superalloy. Various heat treatments were conducted, and the samples exhibited similar gamma-matrix with spherical gamma' particles. The fractions of carbides at the grain boundaries varied, and the samples showed similar microhardness and tensile properties. Thermal exposure and creep tests revealed differences in the growth of gamma', microhardness, and creep life of the samples. The presence of MC carbides in the sample helped accommodate stress exerted on grain boundaries. (c) 2023 Elsevier B.V. All rights reserved.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Mechanics
Sudeep K. Sahoo, Laszlo S. Toth, Alain Molinari, Marat Latypov, Olivier Bouaziz
Summary: The study focused on the strain hardening behavior of a composite material composed of two phases with perfect disorder and isotropic behavior under axisymmetric tension. The approach utilized the strain hardening behavior of the two constituent phases and their relationship in plastic energy. Results from case studies on dual-phase steel alloys and iron-silver composite metal demonstrated that the equal-power approach accurately reproduced the strain hardening behavior and strain partitioning between the two phases in agreement with experimental data.
EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
(2022)
Article
Nanoscience & Nanotechnology
Daniel L. Foley, Marat Latypov, Xingyuan Zhao, Jonathan Hestroffer, Irene J. Beyerlein, Leslie E. Lamberson, Mitra L. Taheri
Summary: It was found that crystal orientation has a significant impact on GND density, with the highest density in grains with a 101 101 compression texture; additionally, grain boundaries play a crucial role as strong dislocation sources in the evolution of GND density.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
Jonathan M. Hestroffer, Marat Latypov, Jean-Charles Stinville, Marie-Agathe Charpagne, Valery Valle, Matthew P. Miller, Tresa M. Pollock, Irene J. Beyerlein
Summary: This study investigates the evolution of intragranular lattice rotations and slip activity in a high performance, polycrystalline face centered cubic material during monotonic and cyclic loading using a combination of in-situ high-resolution digital image correlation (HR-DIC), Heaviside-DIC method (H-DIC), and crystal plasticity finite element (CPFE). The results show that most grains develop intragranular lattice rotation gradients that span the grain, regardless of their size and lattice orientation. The analysis of slip lines reveals agreement in the active slip systems and changes in local slip activity across individual grains. The findings suggest that deforming grains are divided into sub-granular regions of uniform lattice rotation, most often associated with one or two active slip systems.
Article
Engineering, Mechanical
S. Hemery, J. C. Stinville
Summary: This study monitored the microstructurally small crack growth in Ti-6Al-4V and Ti-6Al-2Sn-4Zr-2Mo with equiaxed and bimodal microstructures. The influence of microstructure on the lifetime variability observed in Ti alloys was evaluated, and primary alpha grains, basal plane cracking, and misalignment across boundaries were identified as key features for high crack growth rates. Dwell periods were found to induce significant small crack acceleration.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Materials Science, Multidisciplinary
J. C. Stinville, W. Ludwig, P. G. Callahan, M. P. Echlin, V. Valle, T. M. Pollock, H. Proudhon
Summary: This study enables imaging of bulk slip events within the 3D microstructure through the combined use of X-ray diffraction contrast tomography and topotomography. Correlative measurements were performed using various methods to validate the observation of slip events and significant differences were found between bulk and surface grains, highlighting the need for 3D observations to better understand deformation in polycrystalline materials.
MATERIALS CHARACTERIZATION
(2022)
Article
Nanoscience & Nanotechnology
Joseph Indeck, David Cereceda, Jason R. Mayeur, Kavan Hazeli
Summary: The use of machine learning techniques in mechanics and materials research can enhance the understanding of microstructure-property relationships. In this study, various machine learning techniques were employed to analyze mesoscopic deformation mechanisms and gain insights into void nucleation in polycrystalline metals. The results showed that unsupervised clustering analysis combined with a K-nearest neighbor classifier accurately characterized slip transmission and identified grains with fatigue-induced voids. It was also discovered that the inclusion of partially-active slip systems was more appropriate for predicting slip activity than the binary classification. The study concluded that grains containing fatigue-induced voids were more likely to be surrounded by grains with orientations that inhibited slip transmission according to the Lee Robertson-Birnbaum criteria. Furthermore, it was demonstrated that smaller datasets using limited simulation results could yield similar outcomes when additional physical descriptors for the slip system activity were incorporated.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2022)
Article
Multidisciplinary Sciences
Olivia P. Pfeiffer, Haihao Liu, Luca Montanelli, Marat Latypov, Fatih G. Sen, Vishwanath Hegadekatte, Elsa A. Olivetti, Eric R. Homer
Summary: This study provides two datasets, one containing information on the chemical compositions of aluminum alloys, and the other containing information on the mechanical properties of aluminum alloys, to help researchers accelerate the discovery of new alloys.
Article
Chemistry, Physical
Maxwell Pinz, George Weber, Jean Charles Stinville, Tresa Pollock, Somnath Ghosh
Summary: This paper develops a probabilistic crack nucleation model for the Ni-based superalloy Rene 88DT under fatigue loading using a Bayesian inference approach. The underlying mechanisms driving crack nucleation are identified through a data-driven, machine learning approach. Experimental fatigue-loaded microstructures are characterized to correlate the grain morphology and crystallography to the crack nucleation sites. A multiscale model, incorporating experimental polycrystalline microstructures, is developed for fatigue simulations.
NPJ COMPUTATIONAL MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Jonathan M. Hestroffer, Marie-Agathe Charpagne, Marat I. Latypov, Irene J. Beyerlein
Summary: This study introduces a graph neural network (GNN) approach for predicting mechanical properties of polycrystalline materials. The GNN model is developed based on graph representation of polycrystals, incorporating fundamental features of grains. The results show that the GNN accurately predicts stiffness and yield strength with a mean relative error of less than 1% for unseen microstructures and less than 2% for microstructures of unseen texture, even with limited training data.
COMPUTATIONAL MATERIALS SCIENCE
(2023)
Article
Multidisciplinary Sciences
Alix C. C. Deymier, Pierre A. A. Deymier, Marat Latypov, Krishna Muralidharan
Summary: Applying mechanical stress through exercise promotes bone mineralization by inducing mineral crystallization and reducing calcium and carbonate integration into the bone. This suggests that weight-bearing exercises can improve bone health by enhancing tissue mineralization independent of cell and matrix behaviors.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Materials Science, Multidisciplinary
Y. Nikravesh, G. Frantziskonis, Marat I. Latypov, K. Muralidharan
Summary: In this study, the cold-spray additive manufacturing process of nanometric copper particles impacting a copper substrate is investigated using molecular dynamics simulation. The interplay between particle size, velocity, penetration depth, and impact bonding energy is explored. The results show that smaller particles (<8 nm) can bind to the substrate even at low velocities (~100 m/s), while larger particles (≥8 nm) require a critical velocity (≥200 m/s) for binding. At velocities near and above 500 m/s, material jetting and increased particle penetration are observed for larger particles. Temperature rise, adiabatic shear banding, and instability are observed, especially at the particle-substrate interface, resulting in particle-cratering at higher velocities. Both adiabatic shear banding and jetting are not prerequisites for particle binding. A constitutive relationship governing the particle's kinetic energy, penetration depth, and impact bonding energy is found.
Article
Engineering, Manufacturing
Jonathan M. Hestroffer, Irene J. Beyerlein
Summary: This paper presents a method for generating high-fidelity, boundary conforming tetrahedral mesh of three-dimensional polycrystalline microstructures. An open-source code called XtalMesh is introduced, which uses a feature-aware Laplacian smoothing algorithm to smooth the input voxel microstructure data and leverages state-of-the-art tetrahedralization code to generate the volume mesh.
INTEGRATING MATERIALS AND MANUFACTURING INNOVATION
(2022)
Article
Nanoscience & Nanotechnology
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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)
