Elliptical Small‐Angle X‐Ray Scattering Patterns from Aligned Lamellar Arrays. Issue 2 (25th October 2015)

• Record Type: Journal Article
• Authors: Grubb, David; Murthy, N. Sanjeeva; Francescangeli, Oriano
• Is Part Of: Journal of polymer science. Volume 54:Issue 2(2016)
• Page Start: 308
• Page End: 318
• Publication Date: 2015-10-25
• Subjects: Cybotactic Nematic -- Lamellar -- Oriented Polymers -- X‐Ray Scattering; 547
• DOI: 10.1002/polb.23930
• Languages: English
• ISSNs: 0887-6266

Abstract

ABSTRACT: Semicrystalline polymers aligned by drawing into films or fibers produce small‐angle X‐ray scattering patterns with two or four spots. Some liquid crystalline materials, cybotactic nematics, produce extremely similar patterns when oriented in magnetic fields. A structure of stacked lamellae, tilted for four point patterns, explain the basic features. However, the peak intensity positions of the broadened reflections lie not on a layer line or on the arc of a circle, but very close to an ellipse. Specific structural explanations of this feature have been suggested, but models using an equilibrium distribution of molecular orientations and lamellar tilts can predict elliptical shapes for the reflections. The model parameters are chosen by fitting the entire 2D intensity distribution of the scattering pattern. Assumptions required for modeling make some fitted parameters uncertain, but it is clear that the elliptical form can emerge from a statistical distribution of the properties of the stacks of lamellae, without a directly assignable structural cause. © 2015 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2016, 54, 308–318 Abstract : Both polymer fibers and magnetically oriented cybotactic nematic liquid crystal phases produce small‐angle X‐ray patterns that appear to be elliptical. 3D modeling of equilibrium distributions of lamellar clusters can predict the shape of these patterns, so there is no need to postulate the existence of elliptical structures in either class of materials; the elliptical shape emerges. This 3D modeling can give improved estimates of lamellar structural parameters.