journal article·2017-07

Prediction of the glass forming ability in a Fe-25%B binary amorphous alloy based on phase-field method

Xuehua Wu, Gang Wang, Dechang Zeng

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Abstract

Abstract The critical cooling rate ( R c ) calculated on the basis of the time-temperature-transformation (TTT) curve was taken as the intrinsic criteria of reflecting the glass forming ability (GFA) for the amorphous alloy. The TTT curves were plotted based on the isothermal Wheeler-Boettinger-McFadden (WBM) phase field method (PFM). By analyzing the TTT curves, the influence of different activation energy parameters E and Q for the interface mobility M and nucleation rate P respectively on R c and GFA were investigated for Fe-25%B (mole fraction) binary amorphous alloy in present paper. The results showed that the activation energy E for the interface mobility M had litter influence on the nose temperature and time for the TTT curves. Under the different thermal activation energy Q 1 , Q 2 and Q 3 for the nucleation rate P , the temperatures and times corresponding to the nose tip were 500 K, 600 K, 775 K and 6.2 × 10 − 4 s, 4.5 × 10 − 4 s, 9.5 × 10 − 4 s, respectively, and the calculated values of R c were 1.57 × 10 6 K/s, 1.93 × 10 6 K/s, 7.35 × 10 5 K/s, respectively, which were in the range of 6.4 × 10 5 ~ 6.8 × 10 6 K/s from the experimental measurements. Under the influence of thermal activation energy Q , the nose tip temperature increased, which meant Q controlled the nose tip temperature, while the higher Q would not get the perfect C shape. It was found that the values of R c calculated based on the TTT curves by the PFM were in good agreement with the reported experimental values, which verified the feasibility of the glass prediction and the research of the intrinsic physical mechanism of the GFA by the PFM.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Metallic Glasses and Amorphous Alloys · Solidification and crystal growth phenomena · Magnetic Properties and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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