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Big-data analysis of phase-formation rules in high-entropy alloys

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Big-data analysis of phase-formation rules of high-entropy alloys ( HEAs) was conducted and a phase formation rule from a dynamic view was deduced. It was indicated in literatures that cooling… Click to show full abstract

Big-data analysis of phase-formation rules of high-entropy alloys ( HEAs) was conducted and a phase formation rule from a dynamic view was deduced. It was indicated in literatures that cooling rate has a strong influence on the phase formation of HEAs. Higher cooling rate may promote the generation of amorphous phase, and accordingly suppress the formation of intermetallics. Meanwhile, it was also shown that cooling rate had little impact on the formation of solid-solution phase. To demonstrate this rule, a series of FeCoNi(AlSiB)x HEAs ribbons were fabricated by a melt-spinning technique, and the microstructure, mechanical, and magnetic properties were also investigated. The results show that all ribbons exhibit disordered solid-solution structure. The addition of boron changes the alloy from ductility to brittleness, but without evident change of magnetic properties. The alloy in the nominal composition of FeCoNi(AlSi)0.2 has the best combination of mechanical and magnetic properties. A distinct feature of HEAs in magnetization was noticed and explained.

Keywords: big data; phase; analysis phase; data analysis; formation; phase formation

Journal Title: Journal of Iron and Steel Research International
Year Published: 2017

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