Understanding and design of metallic alloys guided by phase-field simulations
Y Zhao - npj Computational Materials, 2023 - nature.com
Phase-field method (PFM) has become a mainstream computational method for predicting
the evolution of nano and mesoscopic microstructures and properties during materials …
the evolution of nano and mesoscopic microstructures and properties during materials …
Phase-field modeling of microstructure evolution: Recent applications, perspectives and challenges
We briefly review the state-of-the-art in phase-field modeling of microstructure evolution. The
focus is placed on recent applications of phase-field simulations of solid-state microstructure …
focus is placed on recent applications of phase-field simulations of solid-state microstructure …
Cryogenic mechanical properties of 316L stainless steel fabricated by selective laser melting
C Wang, X Lin, L Wang, S Zhang, W Huang - Materials Science and …, 2021 - Elsevier
Abstract 316L stainless steel fabricated by selective laser melting (SLM) has a wide range
application in complex structural parts servicing at cryogenic temperature due to its good …
application in complex structural parts servicing at cryogenic temperature due to its good …
[HTML][HTML] Understanding fusion zone hardness in resistance spot welds for advanced high strength steels: strengthening mechanisms and data-driven modeling
The fusion zone (FZ) hardness of resistance spot welds is a crucial factor affecting the
performance and durability of the welds. Failure mode transition, tendency to fail in …
performance and durability of the welds. Failure mode transition, tendency to fail in …
Surface strengthening mechanism of the active grinding carburization
C Sun, Y Hong, S Xiu, L Ma, D Wang, C Xu… - Tribology International, 2023 - Elsevier
Although the general heat treatment improves the gear mechanical property, the surface
precision can not be guaranteed in a single technical process. To this end, a novel grinding …
precision can not be guaranteed in a single technical process. To this end, a novel grinding …
Materials data toward machine learning: advances and challenges
Machine learning (ML) is believed to have enabled a paradigm shift in materials research,
and in practice, ML has demonstrated its power in speeding up the cost-efficient discovery of …
and in practice, ML has demonstrated its power in speeding up the cost-efficient discovery of …
Multi-scale computational study of high-temperature corrosion and the design of corrosion-resistant alloys
Corrosion is a serious problem, which reduces the efficiency and lifespan of various
technologies, such as thermal power plants, aviation, nuclear reactors, etc. It starts from the …
technologies, such as thermal power plants, aviation, nuclear reactors, etc. It starts from the …
Dual-phase polycrystalline crystal plasticity model revealing the relationship between microstructural characteristics and mechanical properties in additively …
To elucidate the relationship between microstructural characteristics and mechanical
properties in additively manufactured (AM) maraging steel, this study introduces a …
properties in additively manufactured (AM) maraging steel, this study introduces a …
Multi-interface migration mechanism induced by carbide precipitation during the quenching-partitioning-tempering process in a high-carbon steel
Phase-field finite element (PFFE) modeling of the quenching-partitioning-tempering (QPT)
process is proposed, and the two-dimensional PFFE-QPT model considering carbide …
process is proposed, and the two-dimensional PFFE-QPT model considering carbide …
Efficient finite strain elasticity solver for phase-field simulations
We present an effective mechanical equilibrium solution algorithm suitable for finite strain
consideration within the phase-field method. The proposed algorithm utilizes a Fourier …
consideration within the phase-field method. The proposed algorithm utilizes a Fourier …