2011
DOI: 10.14314/polimery.2011.662
|View full text |Cite
|
Sign up to set email alerts
|

Determination of the parameters of lamellar structure of semicrystalline polymers using a computer program SAXSDAT

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
29
0
4

Year Published

2015
2015
2020
2020

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 25 publications
(33 citation statements)
references
References 0 publications
0
29
0
4
Order By: Relevance
“…b and d). The visible maxima on the SAXS patterns corresponds to the long periodicity of the electron density inside lamellar stacks . Figure summarizes the changes of estimated long period for neat PTT and nanocomposites during heating (melting) and cooling.…”
Section: Resultsmentioning
confidence: 91%
“…b and d). The visible maxima on the SAXS patterns corresponds to the long periodicity of the electron density inside lamellar stacks . Figure summarizes the changes of estimated long period for neat PTT and nanocomposites during heating (melting) and cooling.…”
Section: Resultsmentioning
confidence: 91%
“…Before the main calculations could be run, the introductory data elaboration and corrections were performed using the methods described in refs. . All the calculations, including determination of the parameters of stacks from the obtained correlation function, were performed by means of the SAXSDAT computer software …”
Section: Methodsmentioning
confidence: 99%
“…1 : γ()r=0I()qcos()qritalicdqQ where q is the scattering vector ( q = 4 π sin( θ )/ λ ), and Q is the invariant defined as Q=0q2I()qitalicdq From γ(r), the basic parameters of the lamellar stacks, to know the crystalline lamellae thickness ( l c ) and the amorphous layer thickness ( l a ), have been calculated. In this work, the calculation of γ ( r ) and the determination of the crystalline lamella thickness ( l c ), the amorphous layer thickness ( l a ), and the invariant Q were carried out using the SAXSDAT software . Modeling of the SAXS data has been completed using the Irena Package .…”
Section: Methodsmentioning
confidence: 99%