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

المؤلفون المشاركون

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

المصدر

International Journal of Polymer Science

العدد

المجلد 2010، العدد 2010 (31 ديسمبر/كانون الأول 2010)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2010-09-05

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

الفيزياء

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-501517