Abstract

Important properties of fiber-reinforced composites, such as stiffness, compression strength, and fatigue resistance, are sensitive to fiber alignment. In this paper, we use structure tensor analysis on CT images to characterize the fiber orientations in three samples of unidirectional fiber-reinforced composites: pultruded carbon, pre-preg carbon, and non-crimp glass fiber fabric. Our results show that the fibers in the pultruded sample are more aligned than fibers in the two other samples. Through local quantitative analysis, we show that misalignment of the individual pre-preg layers contributes to the overall fiber misalignment in the material. For the non-crimp composite, we show that both the stitching of the unidirectional bundles and the backing bundles affect the fiber alignment in unidirectional bundles. Quantification of the misalignment caused by these effects allows manufacturers to tune production parameters, such as stitching thread tension, to minimize the misalignment of the fibers. All our notebooks, code, and data are available online.

Highlights

  • Fiber reinforced composites are widely used due to their high stiff­ ness and excellent strength-to-weight ratio

  • We show how the alignment of the unidirectional (UD) fibers can be quantified using a simple and fast approach, based on structure tensor analysis and X-ray computed microtomography

  • We show a number of histograms of the fiber orientation distributions describing the degree of misorientation in the fiber samples compared to the expected orientations of the fiber material

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Summary

Introduction

Fiber reinforced composites are widely used due to their high stiff­ ness and excellent strength-to-weight ratio. Some of the largest com­ posite structures currently made are wind turbine blades, with lengths of over 100 meters. For these structures to withstand the enormous forces applied to them continuously for several decades, understanding the properties of structural composite materials is critical. We show how the alignment of the unidirectional (UD) fibers can be quantified using a simple and fast approach, based on structure tensor analysis and X-ray computed microtomography (μCT). This alignment is important for the material stiffness, compression strength, and fatigue resistance – all key material design parameters for the load-carrying laminates in wind turbine blades

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