Results 51 to 60 of about 11,520 (212)

Unraveling the Effect of Tramp Elements on Phase Transformations in Steels by Combining CALPHAD Modeling and Experiments

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates how tramp elements from increased scrap usage influence phase transformations in low‐alloyed steel. Combining dilatometry and microscopy reveal that tramp elements delay transformations, reduce critical cooling rates and increase hardenability.
Lukas Hatzenbichler   +5 more
wiley   +1 more source

Uncertainty quantification and composition optimization for alloy additive manufacturing through a CALPHAD-based ICME framework

open access: yesnpj Computational Materials, 2020
During powder production, the pre-alloyed powder composition often deviates from the target composition leading to undesirable properties of additive manufacturing (AM) components.
Xin Wang, Wei Xiong
doaj   +1 more source

Thermodynamics of Plutonium Monocarbide from Anharmonic and Relativistic Theory

open access: yesApplied Sciences, 2020
Thermodynamics of plutonium monocarbide is studied from first-principles theory that includes relativistic electronic structure and anharmonic lattice vibrations. Density-functional theory (DFT) is expanded to include orbital-orbital coupling in addition
Per Söderlind   +4 more
doaj   +1 more source

Experimental and thermodynamic description of ternary Bi-Cu-Ga system [PDF]

open access: yesJournal of Mining and Metallurgy. Section B: Metallurgy, 2017
Phase diagram of the Bi-Cu-Ga ternary system has been investigated experimentally with 27 alloys and analytically by using a Calphad method. Thirteen annealed alloys at 200°C were investigated by using scanning electron microscopy (SEM) with energy ...
Minić D.   +8 more
doaj   +1 more source

Exploration of the High Entropy Alloy Space as a Constraint Satisfaction Problem [PDF]

open access: yes, 2017
High Entropy Alloys (HEAs), Multi-principal Component Alloys (MCA), or Compositionally Complex Alloys (CCAs) are alloys that contain multiple principal alloying elements. While many HEAs have been shown to have unique properties, their discovery has been
Abu-Odeh, Anas   +7 more
core   +1 more source

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

open access: yesAdvanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu   +10 more
wiley   +1 more source

Phase Diagrams Enable Solid‐State Battery Design

open access: yesAdvanced Materials Interfaces, EarlyView.
Batteries are non‐equilibrium devices with inherent thermodynamic driving forces to react at interfaces, regardless of kinetics or operating conditions. Chemical potential mismatches across interfaces are dissipated via interfacial reactions. In this work, it is illustrated how phase diagrams and chemical potential maps predict degradation pathways but
Nathaniel L. Skeele, Matthias T. Agne
wiley   +1 more source

Thermodynamic Study on Initial Oxidation Behavior of TiAl-Nb Alloys at High Temperature

open access: yesMetals, 2023
The initial oxidation behavior of TiAl-Nb alloys was systematically investigated against the composition, temperature, and partial pressure of O2 with the CALculation of PHAse Diagrams (CALPHAD) technique.
Zicheng Dong   +4 more
doaj   +1 more source

Carbides and Nitrides of Zirconium and Hafnium. [PDF]

open access: yes, 2019
Among transition metal carbides and nitrides, zirconium, and hafnium compounds are the most stable and have the highest melting temperatures. Here we review published data on phases and phase equilibria in Hf-Zr-C-N-O system, from experiment and ab ...
Hong, Qi-Jun   +3 more
core   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

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