2017
DOI: 10.11648/j.ijtam.20170304.13
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Robust Numerical Resolution of Nakamura Crystallization Kinetics

Abstract: The numerical prediction of crystallization transformation is of great interest in several applications. One such application is the polymer-forming process. In this short communication, the integration of the widely used Nakamura kinetics is discussed. A robust time integration method is proposed. In order to overcome its singularities, the Nakamura function is thresholded. A convergence analysis provides guidelines for the threshold values and time discretization.

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Cited by 17 publications
(21 citation statements)
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“…As has been shown in [17], min = 1e − 6 and below are suitable nucleation values. If min increases, the prediction of the time of full crystallization decreases since it acts as a nucleation value.…”
Section: Crystallization Modelmentioning
confidence: 89%
“…As has been shown in [17], min = 1e − 6 and below are suitable nucleation values. If min increases, the prediction of the time of full crystallization decreases since it acts as a nucleation value.…”
Section: Crystallization Modelmentioning
confidence: 89%
“…Enthalpy method: The enthalpy method solves the heat equation in terms of enthalpy variation where the enthalpy of the phase change material has been calculated from the values of Cp. Crystallization kinetics method: The crystallization kinetics model has been developed in our LTeN [6] laboratory. This numerical model is used to simulate the crystallization of phase change material with a crystallization kinetic.…”
Section: Numerical Modeling By Finite Element Methodsmentioning
confidence: 99%
“…Therefore, along with the thermal history of the printed model, the semi-crystalline polymer model (PP) considered in this study was also driven by the polymer crystallization kinetics. This was achieved by modifying and incorporating the crystallization physics that was developed by Levy [ 26 , 27 ]. The thermo-mechanical properties of PP were expressed as a function of temperature (T), as was reported in the past that thermo-mechanical properties ( , , ) are highly influenced by the temperature gradient of the system and the degree of crystallization [ 25 , 36 ].…”
Section: Modelingmentioning
confidence: 99%
“…Here, t is time, n is the Avrami index, and K ( T ) represents the Nakamura crystallization kinetics’ function derived from Avrami’s isothermal kinetics. Koscher et al performed DSC experiments for iso-thermal and non-iso thermal conditions and proposed K ( T ) as [ 26 , 36 , 37 ]: …”
Section: Modelingmentioning
confidence: 99%
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