Modeling elastic properties of 3D printed composites using real fibers

The microstructure of 3D printed composites is inherently different than traditional composites due to the manufacturing process. The differences influence morphological characteristics such as the contour of the cross-section of the fiber and alter the macroscopic behavior of 3D printed parts. This article investigates the microstructural morphology of 3D printed nylon reinforced with continuous carbon fibers and the effect of microstructural irregularities on the macrostructural elastic response through stochastic homogenization modeling. The contour of the carbon fibers is extracted from scanning electron microscopy (SEM) micrographs available in the literature and used to generate realistic and ideal (ellipsoidal, circular) contours in a stochastic manner using a new methodology. Furthermore, a novel method is introduced to generate single- and multiplefiber representative volume elements (RVEs) in finite element (FE) software for the approximation of the effective elastic properties. To minimize the computational effort associated with the full numerical modeling of multiple-fiber RVEs, a novel semi-analytical approach is demonstrated based on the numerical estimation of stiffness contribution tensors and the implementation of analytical effective field methods. The results of the numerical and semi-analytical models are compared with analytical models and exhibit a good agreement.

Automated summary

The article investigates the microstructural morphology of 3D printed composites and the effect of microstructural irregularities on macrostructural elastic response through stochastic homogenization modeling. A novel methodology is introduced to generate realistic and ideal contours of carbon fibers, along with a method to generate single- and multiple-fiber representative volume elements in finite element software for approximating effective elastic properties. The results of numerical and semi-analytical modeling show good agreement with analytical models.