Results 81 to 90 of about 1,316 (183)

A CALPHAD thermodynamic model for multicomponent alloys under pressure and its application in pressurized solidified Al–Si–Mg alloys

Advanced Powder Materials
High pressure technology has been utilized as an important means to regulate phase structure and improve the properties/performance of alloys. The CALPHAD approach based on accurate databases has great advantages in efficient alloy design.
Wang Yi, Jianbao Gao, Lijun Zhang
doaj   +1 more source

Non-Stoichiometry and Calphad Modeling of Frank-Kasper Phases

Applied Sciences, 2012
One of the many singularities of Frank-Kasper phases is their ability to accommodate extremely large composition ranges by atom mixing on the different sites of the crystal structures.
Jean-Marc Joubert, Jean-Claude Crivello
doaj   +1 more source

CALPHAD-based cross-system knowledge transfer for rapid discovery of high-performance Al–Mg–Zn alloys

npj Computational Materials
Machine learning is widely used to accelerate materials design, but its performance remains limited in small-data scenarios, reducing effectiveness in guiding novel materials development. Here, we developed a novel representation transfer framework based
Wuwei Mo, Qiang Lu, Xiaoyu Zheng, Mengchu Yang, Yinping Zeng, Kai Li, Bo Li, Yuling Liu, Yong Du   +8 more
doaj   +1 more source

Determination of hardness and Young's modulus in fcc Cu–Ni–Sn–Al alloys via high-throughput experiments, CALPHAD approach and machine learning

Journal of Materials Research and Technology
Hardness and Young's modulus are critical indicators in the design of innovative Cu–Ni–Sn–Al alloys with desired elastic and strength properties. In this study, the composition-dependent hardness and Young's modulus in the fcc Cu–Ni–Sn–Al alloys were ...
Wenli Zhang, Ying Tang, Jinghan Gao, Lijun Zhang, Jian Ding, Xingchuan Xia   +5 more
doaj   +1 more source

Solid-state diffusion bonding for INCONEl 617 superalloy using field-assisted sintering technology (FAST) guided by CALPHAD approach

Materials Research Express
This study investigates solid-state diffusion bonding between two INCONEL 617 alloy samples using field-assisted sintering technology (FAST). The study focuses on analyzing the faying surface validating the theoretical alloy design modeling done by the ...
A Degnah, H F Alnaser, A Kurdi, M A Al-Gawati, N A Madkhali, N Haneklaus, A Alhazaa   +6 more
doaj   +1 more source

Phase Transformations after Heat Treating an As-Cast Fe-30Mn-8.8Al-0.3Si-0.15C Steel

Metals
The phase transformations in an as-cast Fe-30Mn-8.8Al-0.3Si-0.15C steel were analyzed experimentally and numerically with a Calphad-based method during heat treatment.
Victor M. Lopez-Hirata, Eduardo Perez-Badillo, Maribel Leticia Saucedo-Muñoz, Felipe Hernandez-Santiago, Jose David Villegas-Cardenas   +4 more
doaj   +1 more source

Machine Learning-Based Prediction of Stacking Fault Energy in High-Manganese Steels: A Comparative Study of Ensemble and Kernel Methods. [PDF]

Materials (Basel)
Tiwari S, Heo SJ, Park N.
europepmc   +1 more source

Machine learning driven discovery of low modulus biomedical titanium alloys for additive manufacturing. [PDF]

Nat Commun
Su J, Jiang F, Wu J, Li Y, Han R, Wang L, Wong RCW, Wang J, Sing SL.   +8 more
europepmc   +1 more source

New Insights into the Low-Temperature Properties of the Ternary Halide Na₂CrCl₄: Magnetic Ordering and Entropy Determination. [PDF]

J Phys Chem C Nanomater Interfaces
Ter Veer NTH, Berkel IM, Dhiman I, Griveau JC, Colineau E, van Hattem A, Couweleers SD, Konings RJM, Smith AL.   +8 more
europepmc   +1 more source

Calorimetric Studies of the Silver-Titanium System. [PDF]

Molecules
Gozdur W, Gierlotka W, Gąsior W, Wierzbicka-Miernik A, Czeppe T, Budziak A, Radziwonko A, Pęska M, Dębski A.   +8 more
europepmc   +1 more source