2019
DOI: 10.1002/pc.25226
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Thermal degradation kinetics of polypropylene/clay nanocomposites prepared by injection molding compounder

Abstract: Polypropylene/clay nanocomposites with different nanoparticles are prepared using a specially designed polymer nanocomposite injection molding compounder with a hyperbolic nozzle. The thermal degradation kinetics is studied by estimating the kinetic parameter, activation energy through ASTM E1641 procedure and by the procedures suggested by ICTAC. The activation energies of PP/MMT and PP/OMHT are increasing from 121 and 147 kJ/mol K, respectively, while PP/OMMT and PP/MICA are rather on a linear or a slightly … Show more

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Cited by 15 publications
(8 citation statements)
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“…Specific degradation temperatures ( T d ), at 1%, 2%, 5%, and 10% of weight loss, are shown in Figure 10B. As it can be appreciated, in case of PP these four values fit the expected exponential dependency of initial weight loss with temperature 48 . The same occurs with PPgV.…”
Section: Resultssupporting
confidence: 53%
See 1 more Smart Citation
“…Specific degradation temperatures ( T d ), at 1%, 2%, 5%, and 10% of weight loss, are shown in Figure 10B. As it can be appreciated, in case of PP these four values fit the expected exponential dependency of initial weight loss with temperature 48 . The same occurs with PPgV.…”
Section: Resultssupporting
confidence: 53%
“…As it can be appreciated, in case of PP these four values fit the expected exponential dependency of initial weight loss with temperature. 48 The same occurs with PPgV. The functionalized polymer starts and ends its degradation process before PP, at about 280 and 465 C, respectively.…”
Section: Thermogravimetrymentioning
confidence: 77%
“…The Coats–Redfern equation is usually used to speculate the reaction mechanism. The TG data at different heating rates were calculated by substituting 34 thermal degradation mechanism functions (Table S3), and the optimal thermal degradation mechanism function equations satisfying the conditions |( E K − E c )/ E k | ≤ 0.1 and |(log A c − log Ak )/log Ak | ≤ 0.2 were found by fitting the slopes of the straight lines K and E c and log A c 41 . The optimal mechanism function for the sample to satisfy the above conditions was calculated to be function 23 and the kinetic parameters of thermal degradation are shown in Table 3.…”
Section: Resultsmentioning
confidence: 99%
“…The presence of SEPA and HSEPA nanoparticles led that polymer chains dissipate more energy and resist against thermal decomposition due to the epoxy denser network as a results of strong chemical interactions of PEI on the surface of nanoparticles with epoxy matrix which proved by increase in E α values. Moreover, the frequency factor Ln ( A ) which is directly proportional to the E α is an indicative of the rate of vibration of the decomposition products 80 . The increment of Ln ( A ) values in the case of EHS, ESEPA, and EHSEPA nanocomposites reveals the fact that these nanoparticles make thermal decomposition reaction harder due to the epoxy denser network as a results of strong chemical interactions of nanoparticles with resin especially in the epoxy system containing PEI functionalized SiO 2 @HNT core‐shell nanoparticles.…”
Section: Resultsmentioning
confidence: 99%