Quantitative Analysis of Semicrystalline Blends SAXS Data : Theoretical Modeling versus Linear Correlation Function

Joint Authors

Fatnassi, Mohamed
Halary, Jean Louis
Ben Cheikh Larbi, Fadhel

Source

International Journal of Polymer Science

Issue

Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-6, 6 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-09-05

Country of Publication

Egypt

No. of Pages

6

Main Subjects

Physics

Abstract EN

This paper compares the results yielded by two methods of small-angle X-ray scattering data analysis for semicrystalline polymer blends.

The first method is based on the use of a theoretical modeling for isotropic samples and a subsequent curve fitting.

The second one is a more familiar method, based on the calculation of the linear one-dimensional correlation function.

The experimental material considered for this purpose deals with a series of semi-crystalline blends of poly(vinylidene fluoride) and poly(methyl methacrylate), with a PVDF content covering the range 50 wt%–100 wt%.

The results obtained by both calculation methods are systematically confronted to the crystallinity degrees deduced from wide angle X-ray scattering patterns.

American Psychological Association (APA)

Fatnassi, Mohamed& Ben Cheikh Larbi, Fadhel& Halary, Jean Louis. 2010. Quantitative Analysis of Semicrystalline Blends SAXS Data : Theoretical Modeling versus Linear Correlation Function. International Journal of Polymer Science،Vol. 2010, no. 2010, pp.1-6.
https://search.emarefa.net/detail/BIM-501517

Modern Language Association (MLA)

Fatnassi, Mohamed…[et al.]. Quantitative Analysis of Semicrystalline Blends SAXS Data : Theoretical Modeling versus Linear Correlation Function. International Journal of Polymer Science No. 2010 (2010), pp.1-6.
https://search.emarefa.net/detail/BIM-501517

American Medical Association (AMA)

Fatnassi, Mohamed& Ben Cheikh Larbi, Fadhel& Halary, Jean Louis. Quantitative Analysis of Semicrystalline Blends SAXS Data : Theoretical Modeling versus Linear Correlation Function. International Journal of Polymer Science. 2010. Vol. 2010, no. 2010, pp.1-6.
https://search.emarefa.net/detail/BIM-501517

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-501517