Non-isothermal Crystallization Kinetics and Magnetic Properties of FeCoNiCrZr Metallic Glass

Xie, Congwei; Li, Wen; Zheng, Donghai; Luo, Junming; Cao, Xiaochang; Su, Zhong Ming; Sheng, Li

doi:10.1007/s10948-018-4566-2

Cited by 6 publications

(2 citation statements)

References 17 publications

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“…During the continuous heating recrystallization process, the recrystallization volume fraction is related to the thermal history of the material, which can be described by the Kempen equation: [ 28,35 ]

$$x = 1 - \text{exp} \left{\right. - \left(\left[\right.

…”

Section: Discussionmentioning

confidence: 99%

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Investigation on Recrystallization Behavior of Cold‐Rolled Silicon Steel in Continuous Heating with Three‐Point Bending Testing

Liu,

Fang,

Liu

et al. 2024

steel research int.

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Understanding the recrystallization behavior of cold‐rolled silicon steel during continuous heating is essential for optimizing continuous annealing parameters and accurately controlling material performance. To address the limitations of isothermal annealing studies in interpreting actual continuous annealing processes, this study investigates the recrystallization kinetics of Fe–2.3 wt%Si steel using a continuous heating three‐point bending method. The method effectively determines the characteristic recrystallization temperatures. Interestingly, these recrystallization characteristic temperatures remain unaffected by the initial load but shift toward higher temperatures with increasing heating rates in the range of 5–15 °C min−1. The average activation energy of recrystallization is estimated to be 144.5 kJ mol−1, comparable to the value of 147.0 kJ mol−1 obtained from the isothermal process through microhardness measurement. The recrystallization kinetics, described by an extended version of the Ozawa–Flynn–Wall model, exhibits excellent agreement with experimental evaluations. By combining the present processing technologies with continuous heating recrystallization kinetics, different recrystallization temperatures and times can be determined, offering valuable insights for optimizing annealing processes.

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