Light-weight refractory high-entropy alloys: A comprehensive review
In recent years, high-entropy alloys (HEAs) have become a research hotspot in materials
community, and great progress has been made in exploring various high-performance …
community, and great progress has been made in exploring various high-performance …
[HTML][HTML] Review of recent trends and developments in aluminium 7075 alloys and metal matrix composites (MMCs) for aircraft applications
The growing demand for fuel-efficient, lightweight and lower CO 2 emissions is led to the
development of lightweight materials. Aluminium metal and its various alloys are extensively …
development of lightweight materials. Aluminium metal and its various alloys are extensively …
Machine Learning: Supervised Algorithms to Determine the Defect in High‐Precision Foundry Operation
BramahHazela, J Hymavathi, TR Kumar… - Journal of …, 2022 - Wiley Online Library
In this paper, we represent a method for machine learning to predict the defect in foundry
operation. Foundry has become a driving tool to produce the part to another industry like …
operation. Foundry has become a driving tool to produce the part to another industry like …
Probing neck growth mechanisms and tensile properties of sintered multi-nanoparticle Al-Cu systems via MD simulation
In the present work, a series of molecular dynamics simulations are conducted to figure out
how sintering parameters would influence the atomic structure, sintering mechanisms, and …
how sintering parameters would influence the atomic structure, sintering mechanisms, and …
Computer alloy design of Ti modified Al-Si-Mg-Sr casting alloys for achieving simultaneous enhancement in strength and ductility
In this paper, an efficient design of a Ti-modified Al-Si-Mg-Sr casting alloy with
simultaneously enhanced strength and ductility was achieved by integrating computational …
simultaneously enhanced strength and ductility was achieved by integrating computational …
High entropy alloys amenable for laser powder bed fusion: A thermodynamics guided machine learning search
R Duan, J Xu, Y Zhao, Q Zhou, Z Yan, Y Xie… - Additive …, 2024 - Elsevier
Although there is considerable research interest in high-entropy alloys (HEAs), only a small
fraction of the potential compositional space was explored hitherto. While additive …
fraction of the potential compositional space was explored hitherto. While additive …
Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations
Scandium is the best alloying element to improve the mechanical properties of industrial Al-
Si-Mg casting alloys. Most literature reports devote to exploring/designing optimal Sc …
Si-Mg casting alloys. Most literature reports devote to exploring/designing optimal Sc …
A novel atomic mobility model for alloys under pressure and its application in high pressure heat treatment Al-Si alloys by integrating CALPHAD and machine learning
High pressure solution treatment, followed by ambient pressure aging treatment, may serve
as a powerful tool for enhancing the alloy properties by tailoring plenty of nanoscale …
as a powerful tool for enhancing the alloy properties by tailoring plenty of nanoscale …
[HTML][HTML] Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations
Data science and material informatics are gaining traction in alloy design. This is due to
increasing infrastructure, computational capabilities and established open-source …
increasing infrastructure, computational capabilities and established open-source …
[PDF][PDF] Recent development in casting technology: A pragmatic review
Accepted: 20 February 2022 More reliable and durable parts with high structural integrity are
required to meet the increasing advancements in science and technology. This paper …
required to meet the increasing advancements in science and technology. This paper …