Multicomponent alloy solidification: phase-field modeling and simulations.

Phys Rev E Stat Nonlin Soft Matter Phys

Department of Computer Science, Karlsruhe University of Applied Sciences, Moltkestrasse 30, D-76133 Karlsruhe, Germany.

Published: April 2005

A general formulation of phase-field models for nonisothermal solidification in multicomponent and multiphase alloy systems is derived from an entropy functional in a thermodynamically consistent way. General expressions for the free energy densities, for multicomponent diffusion coefficients, and for both weak and faceted types of surface energy and kinetic anisotropy are possible. A three-dimensional simulator is developed to show the capability of the model to describe phase transitions, complex microstructure formation, and grain growth in polycrystalline textures.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.71.041609DOI Listing

Publication Analysis

Top Keywords

multicomponent alloy
4
alloy solidification
4
solidification phase-field
4
phase-field modeling
4
modeling simulations
4
simulations general
4
general formulation
4
formulation phase-field
4
phase-field models
4
models nonisothermal
4

Similar Publications

Hierarchical 3D FeCoNi Alloy/CNT @ Carbon Nanofiber Sponges as High-Performance Microwave Absorbers with Infrared Camouflage.

Materials (Basel)

December 2024

Shanghai Frontiers Science Research Center of Advanced Textiles, Engineering Research Center of Technical Textiles (Ministry of Education), Key Laboratory of Textile Science & Technology (Ministry of Education), College of Textiles, Donghua University, Shanghai 201620, China.

Microwave absorbers with infrared camouflage are highly desirable in military fields. Self-supporting 3D architectures with tailorable shapes, composed of FeCoNi alloy/carbon nanotubes (CNTs) @ carbon nanofibers (CNFs), were fabricated in this study. On the one hand, multiple loss mechanisms were introduced into the high-elastic sponges.

View Article and Find Full Text PDF

Machine Learning Advances in High-Entropy Alloys: A Mini-Review.

Entropy (Basel)

December 2024

State Key Laboratory of Low-Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing 100084, China.

The efficacy of machine learning has increased exponentially over the past decade. The utilization of machine learning to predict and design materials has become a pivotal tool for accelerating materials development. High-entropy alloys are particularly intriguing candidates for exemplifying the potency of machine learning due to their superior mechanical properties, vast compositional space, and intricate chemical interactions.

View Article and Find Full Text PDF

The knowledge of diffusion mechanisms in materials is crucial for predicting their high-temperature performance and stability, yet accurately capturing the underlying physics like thermal effects remains challenging. In particular, the origin of the experimentally observed non-Arrhenius diffusion behavior has remained elusive, largely due to the lack of effective computational tools. Here we propose an efficient ab initio framework to compute the Gibbs energy of the transition state in vacancy-mediated diffusion including the relevant thermal excitations at the density-functional-theory level.

View Article and Find Full Text PDF

Atomic-scale understanding of oxide growth and dissolution kinetics of Ni-Cr alloys.

Nat Commun

January 2025

Materials Science Division, Lawrence Livermore National Laboratory, Livermore, CA, USA.

Aqueous corrosion of metals is governed by formation and dissolution of a passivating, multi-component surface oxide. Unfortunately, a detailed atomistic description is challenging due to the compositional complexity and the need to consider multiple kinetic factors simultaneously. To this end, we combine experiments with a first-principles-derived, multiscale computational framework that transcends thermodynamic descriptions to explicitly simulate the kinetic evolution of surface oxides of Ni-Cr alloys as a function of composition, temperature, pH, and applied voltage.

View Article and Find Full Text PDF

A phase-field study to explore the nature of the morphological instability of Kirkendall voids in complex alloys.

Sci Rep

December 2024

Interdisciplinary Centre for Advanced Materials Simulation (ICAMS), Ruhr-Universität Bochum, Universitätsstr. 150, 44801, Bochum, NRW, Germany.

The present research explores theoretical and computational aspects of the morphological instability of Kirkendall voids induced by a directed flux of vacancies. A quantitative phase-field model is coupled with a multi-component diffusion model and CALPHAD-type thermodynamic and kinetic databases to obtain a meso-scale description of Kirkendall void morphologies under isothermal annealing. The material under investigation is a diffusion couple consisting of a multi-phase multi-component single-crystal Ni-based superalloy on one side and pure Ni on the other side.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!