Thermodynamics of Microstructure Control by Particle Dispersion.

Nishizawa, Tsutomu

doi:10.2355/isijinternational.40.1269

Cited by 28 publications

(24 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…There have been a number of theoretical, experimental and simulation studies on this aspect, i.e., the pinning effect [1][2][3][4][5][6][7][8][9][10]. On the other hand, as exemplified by the case of AlN particles in steels [11], the particles with the anisotropic interfacial energy can induce and accelerate the migration of grain boundaries. Nishizawa called this phenomenon "inverse pinning" [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Theoretical and numerical investigations on grain boundary migration due to inverse pinning

Ohno

Ohyama

Matsuura

2013

Computational Materials Science

View full text Add to dashboard Cite

:Theoretical and numerical investigations are carried out into the inverse pinning effect of platelet particles on the grain boundary migration. The theoretical expression for the driving force of the inverse pinning proposed in an early work is first revisited and modified to remove the limitation in the volume fraction of the particles.In addition, it is shown that there exists the maximum velocity of the grain boundary due to the inverse pinning. The validity of the present considerations is demonstrated by phase-field simulations for the grain growth.

show abstract

Section: Introductionmentioning

confidence: 99%

“…On the other hand, as exemplified by the case of AlN particles in steels [11], the particles with the anisotropic interfacial energy can induce and accelerate the migration of grain boundaries. Nishizawa called this phenomenon "inverse pinning" [11].…”

Section: Introductionmentioning

confidence: 99%

Theoretical and numerical investigations on grain boundary migration due to inverse pinning

Ohno

Ohyama

Matsuura

2013

Computational Materials Science

View full text Add to dashboard Cite

show abstract

“…The spinodal curve is parabolic and it is inscribed in the binodal curve at its vertex (c=0.5). Therefore, the critical temperature 13 of the two-phase decomposition T C can be expressed by:…”

Section: Thermodynamical Parametersmentioning

confidence: 99%

“…As stated above, one of the important parameters of the nonlinear Cahn-Hilliard equation corresponds to the local free energy f which can be defined in a simple way using the strict regular solution model 13 for a binary alloy system as follows:…”

Section: Thermodynamical Parametersmentioning

confidence: 99%

“…Furthermore, most of the simulation works 11,12 reported in the literature, using the phase field method based on the nonlinear Cahn-Hilliard equation for hypothetic binary A-B alloys, use mathematical functions to model the spinodal curve in a free energy vs. composition diagram, but these ones do not represent thermodynamic parameters which can be associated with a specific alloy system. Therefore, it is necessary to use free energy functions based on thermodynamic solution models in order to approach the microstructure simulation to that taking place in real alloy systems 13 . Thus, the goal of this work is to analyze the phase decomposition process in a binary A-B alloy system using both the linear and nonlinear Cahn-Hilliard equations, in order to understand the effect of the equation parameters on the microstructural evolution and growth kinetics for this transformation.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical analysis of phase decomposition in A-B binary alloys using Cahn-Hilliard equations

Lezama-Alvarez¹,

Ávila-Dávila

López-Hirata³

et al. 2013

Mat. Res.

View full text Add to dashboard Cite

The analysis of phase decomposition was carried out using the nonlinear and linear Cahn-Hilliard equations in a hypothetical A-B alloy system with a miscibility gap. These equations were solved by the explicit finite difference method assuming a regular solution model. The supersaturated solid solution and decomposed phases were considered to have an fcc structure. Different aging temperatures and thermodynamic interaction parameters Ω A-B were used to simulate different alloy systems. The numerical simulation results showed that the growth kinetics of phase decomposition in the alloy with 30at.% A was slower than that of 50 at.% A. Additionally, the start time and modulation wavelength of phase decomposition are strongly affected by the thermodynamic interaction parameter Ω A-B value. The numerical simulation results showed that the growth kinetics of phase decomposition with the linear equation is slower than that with the nonlinear one.

show abstract

Formation of Equiaxed Crystals by Complex Inclusions during Solidification of Advanced High Strength Steel

Park

Lee

2013

Pricm

View full text Add to dashboard Cite

Thermodynamics of Microstructure Control by Particle Dispersion.

Cited by 28 publications

References 16 publications

Theoretical and numerical investigations on grain boundary migration due to inverse pinning

Theoretical and numerical investigations on grain boundary migration due to inverse pinning

Numerical analysis of phase decomposition in A-B binary alloys using Cahn-Hilliard equations

Formation of Equiaxed Crystals by Complex Inclusions during Solidification of Advanced High Strength Steel

Contact Info

Product

Resources

About