Encyclopedia of Polymers and Composites 2013
DOI: 10.1007/978-3-642-37179-0_30-1
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Insights into Polymer Crystallization from Phase-Field Theory

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Cited by 8 publications
(15 citation statements)
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References 121 publications
(176 reference statements)
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“…Conversely, for the sample subjected to a shear of 300 s −1 initially, discrete clusters of crystals were formed, floating among large regions of unstructured liquid oil. Spherulite morphology is distinct, 5–30 μm in diameter, consistent with the Category 2 spherulite that results from central multidirectional growth (Gránásy et al, ). The outer edges of the spherulites seemed to be smooth, likely as crystal growth continued on the outside of the spherulites, enhancing the density at the edges.…”
Section: Resultssupporting
confidence: 74%
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“…Conversely, for the sample subjected to a shear of 300 s −1 initially, discrete clusters of crystals were formed, floating among large regions of unstructured liquid oil. Spherulite morphology is distinct, 5–30 μm in diameter, consistent with the Category 2 spherulite that results from central multidirectional growth (Gránásy et al, ). The outer edges of the spherulites seemed to be smooth, likely as crystal growth continued on the outside of the spherulites, enhancing the density at the edges.…”
Section: Resultssupporting
confidence: 74%
“…Presumably, the Avrami model could only apply at very early stages of crystallization. Moreover, it was recently reported (Gránásy et al, ) that differences in ductile and brittle rheological behavior cannot be explained by differences in the SFC.…”
Section: Resultsmentioning
confidence: 98%
“…The inclusion of foreign surfaces/particles, represented by appropriate boundary conditions that set the wetting properties, allows the modeling of heterogeneous nucleation 83 85 and solidification in confined space. 77 , 86 The addition of phase-field noise makes the modeling of Brownian motion of solid particles possible. 87 The OF-PF models may also be coupled to hydrodynamic flow, which can be represented by either the Navier–Stokes equation 88 , 89 or the lattice Boltzmann technique.…”
Section: Modeling Sectionmentioning
confidence: 99%
“…The main virtue of PF modeling is that the growth morphology can be computed on the basis of the freezing conditions and the thermophysical properties. Images obtained by OF-PF modeling in two- and three dimensions (2D and 3D) 74 , 78 , 84 , 86 are compared with experiments 74 , 86 , 91 − 101 in Figure 6 .…”
Section: Modeling Sectionmentioning
confidence: 99%
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