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Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

open access: yesAdvanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen   +7 more
wiley   +1 more source

Cold worked Cu-Fe-Cr alloys

open access: yesJournal of Materials Science, 2001
The aim of this project was to investigate the properties of copper rich Cu-Fe-Cr alloys for the purpose of developing a new cost effective, high-strength, high-conductivity copper alloy. This paper reports on the influence of cold work. The age hardening response of the Cu-0.7%Cr-2.0%Fe alloy was minimal, but the resistance to softening was superior ...
Fernee, H, Nairn, J, Atrens, A
openaire   +5 more sources
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Processing of Cu-Fe and Cu-Fe-SiC nanocomposites by mechanical alloying

Advanced Powder Technology, 2017
Abstract The Cu-Fe and Cu-Fe-SiC nanocomposite powders were synthesized by a two step mechanical alloying process. A supersaturated solid-solution of Cu-20 wt% Fe was prepared by ball milling of elemental powders up to 5 and 20 h and subsequently the SiC powder was added during additional 5 h milling.
Mina Rabiee   +2 more
openaire   +1 more source

Thermophysical properties of liquid Cu–Fe–Ni alloys

Materials Science and Engineering: A, 2005
Density and surface tension of liquid Cu–Fe–Ni alloys have been measured in an electromagnetic levitator over a wide temperature range, including the undercooled regime. Both properties are linear functions of temperature. Their concentration dependence, however, is highly non-linear.
Egry, Ivan   +2 more
openaire   +3 more sources

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