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Adiabatic crystallization kinetics of poly--caprolactam. (The conditions of the process are the same as for Fig. 6.)
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... kinetic curves of the adiabatic temperature increase due to the crystallization of poly--caprolactam obtained by subtraction of curve 4 from the curves 1, 2, and 3 in Fig. 6 are represented in Fig. 7. Contrary to the results for the polymerization kinetics a strong dependence of the crystallization kinetics on the SiO2 content can be seen in Fig. 7. The nano-filler influences not only the initial but also the later crystallization rates. From the final temperature increase it can be concluded that the maximum degree of adiabatic ...
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... kinetic curves of the adiabatic temperature increase due to the crystallization of poly--caprolactam obtained by subtraction of curve 4 from the curves 1, 2, and 3 in Fig. 6 are represented in Fig. 7. Contrary to the results for the polymerization kinetics a strong dependence of the crystallization kinetics on the SiO2 content can be seen in Fig. 7. The nano-filler influences not only the initial but also the later crystallization rates. From the final temperature increase it can be concluded that the maximum degree of adiabatic crystallization remains constant and does not depend on the initial quantity of SiO2. The data from Fig. 7 can be explained by the fact that the ...
Context 3
... kinetics on the SiO2 content can be seen in Fig. 7. The nano-filler influences not only the initial but also the later crystallization rates. From the final temperature increase it can be concluded that the maximum degree of adiabatic crystallization remains constant and does not depend on the initial quantity of SiO2. The data from Fig. 7 can be explained by the fact that the nano-particles act as heterogeneous nuclei of the crystallization process. Therefore increasing nano-filler content leads to an acceleration of the whole crystallization ...
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Citations
... Tonoyan et al. [66] modified the crystallization kinetic equation derived by Malkin et al. [62,63] by adding the conversion degree as a multiplier to the equilibrium degree of crystallinity, thus taking into account that only a small part of the polymer formed is converted into the crystalline polymer: ...
The production and consumption of polymer composites has grown continuously through recent decades and has topped 10 Mt/year. Until very recently, polymer composites almost exclusively had non-recyclable thermoset matrices. The growing amount of plastic, however, inevitably raises the issue of recycling and reuse. Therefore, recyclability has become of paramount importance in the composites industry. As a result, thermoplastics are coming to the forefront. Despite all their advantages, thermoplastics are difficult to use as the matrix of high-performance composites because their high viscosity complicates the impregnation process. A solution could be reactive thermoplastics, such as PA-6, which is synthesized from the ε-caprolactam (ε-CL) monomer via anionic ring opening polymerization (AROP). One of the fastest techniques to process PA-6 into advanced composites is thermoplastic resin transfer molding (T-RTM). Although nowadays T-RTM is close to commercial application, its optimization and control need further research and development, mainly assisted by modeling. This review summarizes recent progress in the modeling of the different aspects of the AROP of ε-CL. It covers the mathematical modeling of reaction kinetics, pressure-volume-temperature behavior, as well as simulation tools and approaches. Based on the research results so far, this review presents the current trends and could even plot the course for future research.
