1977
DOI: 10.1007/bf02661647
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Growth kinetics of grain boundary ferrite allotriomorphs in Fe−C alloys

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Cited by 124 publications
(69 citation statements)
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“…The aspect ratio h of the allotriomorphs is considered constant, because the lengthening and thickening processes are actually coupled. Consistent with experimental evidences [21], h is assume to have a value of 3. The value of a 1 can be obtained by numerical solution from the equation [22 ], …”
Section: Resultsmentioning
confidence: 77%
“…The aspect ratio h of the allotriomorphs is considered constant, because the lengthening and thickening processes are actually coupled. Consistent with experimental evidences [21], h is assume to have a value of 3. The value of a 1 can be obtained by numerical solution from the equation [22 ], …”
Section: Resultsmentioning
confidence: 77%
“…It is accepted that in Fe-C alloys the growth of grain boundary ferrite allotriomorphs is controlled by carbon diffusion in austenite, although the measured growth rates are often smaller than those calculated from the theory. 1,2) The principal reason for this discrepancy was thought to be the development of facets at ferrite/austenite interphase boundaries. The migration of planar ferrite/austenite boundaries in a diffusion couple was indeed explained very well by carbon diffusion in austenite.…”
Section: Introductionmentioning
confidence: 99%
“…7,9) Particularly in Fe-C-Cr and Mo alloys the influence of solute drag is considered to be so strong that the TTT-curves exhibit the characteristic shape, known as the bay, at intermediate temperatures. 10) Measured growth rates of grain boundary allotriomorphs were compared with calculations assuming that the particle shape is a sphere, an oblate ellipsoid 2) or even assuming planar growth. 7,8) The former approximations yield a considerably faster growth rate than planar growth at large undercoolings.…”
Section: Introductionmentioning
confidence: 99%
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“…Similarly, Bradley et al [9] and Cotrina et al [10] analyzed coarsening kinetics via experimental data from optical observations. Recently, various numerical simulation techniques such as Potts-Monte Carlo models (MC) [11][12][13], phase field models [14,15] and cellular automaton models (CA) [16][17][18] have been gradually used to model the microstructure evolution on the mesoscale [19].…”
mentioning
confidence: 99%