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
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