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Journal ArticleDOI

Granulation, Phase Change, and Microstructure Kinetics of Phase Change. III

Melvin Avrami
- 01 Feb 1941 - 
- Vol. 9, Iss: 2, pp 177-184
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TLDR
In this paper, a comprehensive description of the phenomena of phase change may be summarized in Phase Change, Grain Number and Microstructure Formulas or Diagrams, giving, respectively, the transformed volume, grain, and microstructure densities as a function of time, temperature, and other variables.
Abstract
The theory of the preceding papers is generalized and the notation simplified. A cluster of molecules in a stable phase surrounded by an unstable phase is itself unstable until a critical size is reached, though for statistical reasons a distribution of such clusters may exist. Beyond the critical size, the cluster tends to grow steadily. The designation ``nuclei'' or ``grains'' is used according as the clusters are below or above the critical size. It is shown that a comprehensive description of the phenomena of phase change may be summarized in Phase Change, Grain Number and Microstructure Formulas or Diagrams, giving, respectively, the transformed volume, grain, and microstructure densities as a function of time, temperature, and other variables. To facilitate the deduction of formulas for these densities the related densities of the ``extended'' grain population are introduced. The extended population is that system of interpenetrating volumes that would obtain if the grains granulated and grew through each other without mutual interference. The extended densities are much more readily derivable from an analysis of the fundamental processes of granulation and growth. It is shown that, under very general circumstances, the densities of the actual grain population may be expressed simply in terms of the extended population.

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Citations
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Journal ArticleDOI

Computer simulation of crystallization kinetics for the model with simultaneous nucleation of randomly-oriented ellipsoidal crystals

TL;DR: In this article, the results of computer simulation for the non-Kolmogorov model with simultaneous nucleation of randomly-oriented ellipsoidal crystals have been carried out.
Journal ArticleDOI

A Volume Averaged Approach to the Numerical Modeling of Phase-Transition Intercalation Electrodes Presented for LixC6

TL;DR: An approach for the volume averaged numerical modeling of phase transition intercalation electrodes is presented for lithiated graphite, LixC6, in lithium-ion batteries in this article, which directly treats phase formation and growth through a modified form of the Avrami equation enabling the physics-based mathematical model to capture the additional time constant observed in the two phase regions of graphite.
Journal ArticleDOI

A kinetic analysis of crystallization of a milk fat model system

TL;DR: In this paper, the activation free energies of nucleation were calculated for other fats systems, such as hydrogenated sunflower oil, and the curves were interpreted with the Avrami kinetic model, and parameters Kn and n were calculated.
Journal ArticleDOI

Tuning polymorphism and orientation in organic semiconductor thin films via post-deposition processing

TL;DR: The ability to independently tune the crystal structure and out-of-plane molecular orientation in thin films of c-HBC is demonstrated and the effects that molecular packing and orientation have on device performance in thin-film transistors (TFTs) are evaluated.
References
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Journal ArticleDOI

Kinetics of Phase Change. I General Theory

TL;DR: In this paper, the theory of phase change is developed with the experimentally supported assumptions that the new phase is nucleated by germ nuclei which already exist in the old phase, and whose number can be altered by previous treatment.
Journal ArticleDOI

Kinetics of Phase Change. II Transformation‐Time Relations for Random Distribution of Nuclei

TL;DR: In this article, a relation between the actual transformed volume V and a related extended volume V1 ex is derived upon statistical considerations, and a rough approximation to this relation is shown to lead, under the proper conditions, to the empirical formula of Austin and Rickett.
Journal ArticleDOI

Grand Partition Functions and So‐Called ``Thermodynamic Probability''

TL;DR: The relation due to Boltzmann between entropy and thermodynamic probability is enunciated in a precise form in this paper and generalized in such a way that each of the other thermodynamic potentials is related in a similar manner to a ''thermodynamic probability'' for which a more suitable name is a ''partition function''.