1989
DOI: 10.1021/ma00201a034
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Superstructural model for small-angle x-ray scattering: application to nylon 6 fiber

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Cited by 17 publications
(12 citation statements)
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“…1(e)] 6, 10, 12, 13, 22–24. We here show that a combination of both the models, a 3D lattice of tilted lamellae,7, 25 is required to explain observations such as the elliptical intensity distribution, to account for the transformation between four‐to two‐point patterns, and other changes in the lamellar morphology during drawing and annealing. The scheme in Figure 1(d) will be referred to as the checkerboard model to distinguish it from a 3D lattice of tilted lamellae [Fig.…”
Section: Introductionmentioning
confidence: 76%
“…1(e)] 6, 10, 12, 13, 22–24. We here show that a combination of both the models, a 3D lattice of tilted lamellae,7, 25 is required to explain observations such as the elliptical intensity distribution, to account for the transformation between four‐to two‐point patterns, and other changes in the lamellar morphology during drawing and annealing. The scheme in Figure 1(d) will be referred to as the checkerboard model to distinguish it from a 3D lattice of tilted lamellae [Fig.…”
Section: Introductionmentioning
confidence: 76%
“…Another structural model was proposed by Zheng et al, who interpreted the spread of the SAXS reflection as due to paracrystalline disorder of a 3D macrolattice of lamellae. This cannot predict the observed curved streaks [20]. It was pointed out very early on that a lateral linear spread could be due to crystals with a range of tilts that had the same repeat distance in the fiber direction (and not due to a limited width) [16].…”
Section: Discussionmentioning
confidence: 97%
“…It is tempting to use the azimuthal separation (χ = 2ϕ) of the lamellar peaks to calculate an interfibrillar spacing L ⟂ 25. This may appear reasonable because ϕ increases upon drawing and decreases upon annealing, corresponding to the expected decrease in interfibrillar spacing upon drawing and its increase upon annealing, as observed from other features in the SAS data.…”
Section: Discussionmentioning
confidence: 99%