4.4 Article

Fiber motion in highly confined flows of carbon fiber and non-Newtonian polymer

Journal

JOURNAL OF NON-NEWTONIAN FLUID MECHANICS
Volume 265, Issue -, Pages 41-52

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jnnfm.2019.01.003

Keywords

Carbon fiber; Non-Newtonian fluid; Additive manufacturing; Lagrange multipliers; Numerical modeling; Direct ink writing

Categories

Funding

  1. US Department of Energy by Lawrence Livermore National Laboratory [DE-ASC52-07NA27344, 15-ERD-030]

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Inks compounded of short carbon fibers suspended in polymer resin can be extruded to produce composite materials during additive manufacturing or 3D printing processes. The flow process induces anisotropic orientation of the fibers which is set into the matrix and significantly affects the mechanical and physical properties of the final product. Therefore, the flow of fiber suspensions needs to be understood in order to predict the orientation distribution of the fibers during such manufacturing processes. There is still a lack of knowledge for extrusion of the complex mixture of a non-Newtonian polymer containing a high-volume fraction of fibers with high fiber aspect ratio, where both inter-particle, fluid-particle and fiber-wall interactions are computationally evaluated. This paper presents predictive numerical simulations and experimental results of such confined flow in a concentrated regime. The code is based on Lagrange multiplier technique and resolves each particle and interaction between the fibers and surrounding fluid and nozzle walls. We investigate numerically how the fiber length impacts the fiber alignment during extrusion. We found that a fiber length above 67% of the nozzle's diameter induces dramatic change in the fiber flow, causing fibers to concentrate at the nozzle boundaries with very low concentration of fibers in the center of the nozzle. It was found that the best fiber alignment is reached for fiber lengths equal to 40-50% of the nozzle diameters. Numerical findings are supported by experimental results. This work improves understanding of fiber orientation during 3D printing and is an important milestone for the prediction of the complex mechanical properties of additively manufactured fiber composites.

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