2014
DOI: 10.1002/app.41734
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Polypropylene random copolymer/MWCNT nanocomposites: Isothermal crystallization kinetics, structural, and morphological interpretations

Abstract: This article describes the crystallization process of polypropylene random copolymer (PPCP) under isothermal conditions in presence of varying amounts of multiwalled carbon nanotubes (MWCNT) ranging from 0.5 to 4.0% w/w. Increase in the crystallization temperature under dynamic conditions confirmed the nucleating behavior of MWCNTs, which was also corroborated by crystallization studies under isothermal conditions. The crystallization kinetics was analyzed using Avrami equation and the parameters such as Avram… Show more

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Cited by 21 publications
(16 citation statements)
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“…The reported n and k values are summarized in S1–S3. An alternative way to calculate k from t 1/2 (designated as k ′ in Tables S1–S3) is given as : k=trueln2t1/2n …”
Section: Resultssupporting
confidence: 84%
See 3 more Smart Citations
“…The reported n and k values are summarized in S1–S3. An alternative way to calculate k from t 1/2 (designated as k ′ in Tables S1–S3) is given as : k=trueln2t1/2n …”
Section: Resultssupporting
confidence: 84%
“…The Avrami index n is in between 2 and 3 for both neat PP and PP/f‐MWNT nanocomposites (Tables S1–S3, Fig. d) which is similar to the reported values of isotactic PP and their nanocomposites in the literature . For polymers, the ideal Avrami index is expected to be 3 and 4 for heterogeneous and homogenous nucleation, respectively, for the three‐dimensional growth .…”
Section: Resultssupporting
confidence: 84%
See 2 more Smart Citations
“…Three samples for each specimen type of %10 mg were subjected to a heating scan of 25-420 C, at a rate of 10 C min À1 , to evaluate the glass transition (T g ) and melting (T m ) temperatures, where the melting temperature and heat of fusion were taken from the second heating cycle to eliminate the influence of thermal history. [30] The degree of crystallinity (χ c ) of the samples was calculated [31] by…”
Section: Thermophysical and Surface Properties Of 3d-printed Peek Sammentioning
confidence: 99%