2019
DOI: 10.2355/isijinternational.isijint-2019-153
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Effects of Fine Precipitates on Austenite Grain Refinement of Micro-alloyed Steel during Cyclic Heat Treatment

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Cited by 14 publications
(7 citation statements)
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“…The volume fraction of the precipitates was measured by quantifying the sample thickness of each observed area using electron energy loss spectroscopy. 22) The precipitate was observed using the extraction replica method. 23) The steel was electrically etched in an acetylacetone (10%) and tetramethylammonium (1%) methanol solution, and the exposed precipitates on the sample surface were transferred into a replica film.…”
Section: Methodsmentioning
confidence: 99%
“…The volume fraction of the precipitates was measured by quantifying the sample thickness of each observed area using electron energy loss spectroscopy. 22) The precipitate was observed using the extraction replica method. 23) The steel was electrically etched in an acetylacetone (10%) and tetramethylammonium (1%) methanol solution, and the exposed precipitates on the sample surface were transferred into a replica film.…”
Section: Methodsmentioning
confidence: 99%
“…To measure the volume fraction of the precipitates, the sample thickness at each observed area was quantitatively evaluated via electron energy loss spectroscopy (EELS). 22) Large precipitates with a size of more than 100 nm were observed using the scanning electron microscopy technique (SEM, ProX, Phenom-World B.V.) for each sample. Thermodynamic calculations were performed using the Thermo-Calc software (version 2018b), using the TCFE9 database.…”
Section: Methodsmentioning
confidence: 99%
“…As it was difficult to distinguish the Nb(C, N) particles from the Fe matrix using high-angle annular dark field (HAADF) imaging, energy dispersive spectroscopy (EDS) mapping was used to analyze the precipitates. The volume fraction of the precipitates was measured by quantifying the sample thickness of the observed area using electron energy loss spectroscopy 20) .…”
Section: Effects Of the Normalizing Temperaturementioning
confidence: 99%