Assessment of local cracking susceptibility based on an in-situ observation

Gao, Xiang; Han, Lu; Santillana, Begoña; Hechu, Kateryna; Zhuang, Linzhong

doi:10.1016/j.matchar.2019.03.007

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…Afterward, the representative binary images (Figure 8) of solid–liquid phases were generated from Figure 7 with the assistance of the graphic software. In our previous research [30], this method has also been applied to determine the fraction of different phases (L, δ, and γ) based on the images of confocal scanning laser microscope (CSLM). In this work, employing solidified samples, the area ratio of the solid phase was regarded as a mass fraction, and statistical areas are large enough to reduce the error.…”

Section: Resultsmentioning

confidence: 99%

“…Optical micrographs of the selected region were processed with the graphic software in order to obtain representative binary images of solid-liquid phases and highlight the difference between the liquid and solid phases, as introduced in previous research [30]. On each quenched sample, in this study, the area ratio of the solid phase was considered to be equal to the mass fraction of the solid phase.…”

Section: Methods For Microstructure Analysismentioning

confidence: 99%

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Microsegregation and solidification characteristics of an advanced high strength steel – part II: experimental validation

Han

Gao

Song

et al. 2021

Ironmaking & Steelmaking

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Good knowledge of the redistribution characteristic of solute elements is essential for the design and the production of new alloying systems. Part I of this series demonstrated the deviations of microsegregation predictions on an advanced high strength steel (AHSS) caused by equilibrium partition coefficients based on the analytical microsegregation model. In this study, the aim is to conduct a feasible experiment to assess the microsegregation and solidification characteristics of the AHSS steel and to validate the effect of partition coefficients on microsegregation predictions. The SQ method (solidification followed by quenching) was adopted for validation in this study. Solid fraction evolution was obtained on the basis of quenched solidification microstructures to compare with predicted solidification paths. Subsequently, EPMA mappings were performed on quenched microstructures to generate the concentration profiles of Mn in the liquid phase, and the measured data were used to assess the predicted degree of microsegregation.

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Section: Resultsmentioning

confidence: 99%

Section: Methods For Microstructure Analysismentioning

confidence: 99%