Results 41 to 50 of about 2,776 (254)

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

Calculation of the effective solidification range and its relationship with hot brittleness of alloys based on Mg–Al and Mg–Zn systems

Frontier Materials & Technologies
Magnesium alloys of the Mg–Al and Mg–Zn systems have a wide effective solidification range (ESR), and as a result, have the tendency to hot brittleness during casting.
Andrey V. Pozdniakov
doaj   +1 more source

Modeling Dislocation Cutting of γ′ Precipitates in Ni‐Base Superalloys: Linking Atomistic and Dislocation Dynamics Simulations

Advanced Engineering Materials, EarlyView.
Dislocation cutting of γ′ precipitates in Ni‐based superalloys is investigated by linking atomistic simulations with discrete dislocation dynamics. The critical cutting stress is shown to be governed by the antiphase boundary energy, while line tension effects promote edge‐preferred cutting.
Frédéric Houllé, Siwen Gao, Marc Fivel, Anxin Ma, Daria Smirnova, Sriram Anand, Arun Prakash, Julien Guénolé, Alexander Hartmaier, Erik Bitzek   +9 more
wiley   +1 more source

Machine-Learning-Based Composition Analysis of the Stability of V–Cr–Ti Alloys

Journal of Nuclear Engineering, 2023
Machine learning methods allow the prediction of material properties, potentially using only the elemental composition of a molecule or compound, without the knowledge of molecular or crystalline structures.
Katsuaki Tanabe
doaj   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Realization of a Novel FeSiAlCuSn Multicomponent Alloy and Characterization of Intermetallic Phases Formed at Different Temperatures During Cooling

Metals
Ferrosilicon (FeSi) is a commercially important material with multiple uses in metallurgical processes. Recently, in an attempt to reduce the carbon impact of the FeSi production process, researchers have proposed using recycled Si recovered from ...
Pradeep Padhamnath, Filip Kuśmierczyk, Mateusz Kopyściański, Łukasz Gondek, Piotr Migas, Mirosław Karbowniczek   +5 more
doaj   +1 more source

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

Dislocation core structures and Peierls stresses of the high-entropy alloy NiCoFeCrMn and its subsystems

Materials & Design, 2019
High entropy alloys (HEAs) have emerged as promising next-generation structural materials. In order to understand the strengthening mechanism in these multicomponent alloys, a theoretical investigation is presented here in the framework of the Peierls ...
Xianglin Liu, Zongrui Pei, Markus Eisenbach   +2 more
doaj   +1 more source

Graphene Quantum Dot‐Induced Microstrain for Framework Stabilization of High‐Entropy Prussian Blue Analog in High‐Current Alkaline Hydrogen Evolution Reaction

Advanced Functional Materials, EarlyView.
The intrinsic distortion‐rich lattice of HEPBA with GQD‐enabled microstrain engineering establishes a mechanistic route toward high‐performance alkaline hydrogen evolution reaction. HEPBA inherently feature heterogeneous local coordination environments arising from multimetal incorporation, while properly introducing GQD during coprecipitation ...
Mia Rinawati, Yu‐Ru Liu, Wei‐Hsiang Huang, Kuan‐Yu Lin, Ching‐Ju Ho, Ling‐Yu Chang, Karel Roubik, Ni Luh Wulan Septiani, Ahmad Nuruddin, Wei‐Nien Su, Min‐Hsin Yeh   +10 more
wiley   +1 more source

Machine-learned interatomic potentials for modeling multicomponent metallic systems: a comprehensive review

Materials Research Letters
Multicomponent alloys demonstrate outstanding mechanical, chemical, and physical performance, but their vast compositional space cannot be efficiently navigated using conventional trial-and-error strategies.
Yash Kokane, H. M. Jayaprakash, Akash A. Deshmukh, Prakhar Singh Rajput, Manish Sahoo, Raghavan Ranganathan   +5 more
doaj   +1 more source