1998
DOI: 10.1023/a:1023243831128
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Abstract: We study the nucleation and growth of flame fronts in slow combustion. This is modeled by a set of reaction-diffusion equations for the temperature field, coupled to a background of reactants and augmented by a term describing random temperature fluctuations for ignition. We establish connections between this model and the classical theories of nucleation and growth of droplets from a metastable phase. Our results are in good argeement with theoretical predictions.PACS numbers: 64.60. My,05.40.+j,82.40.Py,68.1… Show more

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Cited by 13 publications
(3 citation statements)
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“…In the present experiments bismuth undergoes a reconstructive structural first-order phase transformation, the kinetics of which can be described by a simple picture of nucleation and growth originally proposed by Kolmogorov [14]. This model is currently known as the Kolmogorov-Johnson-Mehl-Avrami (KJMA) model [15,16,17], and it has been employed to describe a variety of systems [18,19,20,21]; we recall the main ideas below. For other, more detailed models of nucleation and growth see also [22].…”
mentioning
confidence: 99%
“…In the present experiments bismuth undergoes a reconstructive structural first-order phase transformation, the kinetics of which can be described by a simple picture of nucleation and growth originally proposed by Kolmogorov [14]. This model is currently known as the Kolmogorov-Johnson-Mehl-Avrami (KJMA) model [15,16,17], and it has been employed to describe a variety of systems [18,19,20,21]; we recall the main ideas below. For other, more detailed models of nucleation and growth see also [22].…”
mentioning
confidence: 99%
“…The first model that efficiently captured the main features of crystallization, namely, the JMAK model, states that grains nucleate from random locations and that the grains grow until they are impinging other neighboring growing grains. Thanks to its straightforwardness, this model has also been used in many other situations, provided that the hypotheses of random nuclei and an independent growing zone are met: temperature dependent crystallization [6], combustion [7], particle physics [8], crystallization in amorphous materials [9], evolution of damage under dynamic tensile loadings [10] and solid state phase transitions in general [11], making the JMAK model a much-encountered approach.…”
Section: Introductionmentioning
confidence: 99%
“…The above picture suggests that we can apply the framework of homogeneous nucleation and growth [10][11][12] to describe the spatial and temporal characteristics of the spread of the invasive allele. This framework has successfully described analogous dynamic phenomena in ferromagnetic [13][14][15] and ferroelectric materials [16,17], flame propagation in slow combustion [18], chemical reactions [19], and other ecological systems [9,20,21]. While local mutation is a Poisson process, lacking a Hamiltonian or an effective free energy for the model, it is not known a priori whether the nucleation of a "supercritical" cluster will also be Poisson.…”
Section: Single-cluster and Multi-cluster Spreadmentioning
confidence: 99%