Fiber Orientation Distribution Predictions for an Injection Molded Venturi-Shaped Part Validated Against Experimental Micro-Computed Tomography Characterization

María C Quintana,Aitor Arriaga,Zoltan Major,Patricia M Frontini,Bernhard Plank

doi:10.3389/fmats.2020.00169

Abstract

Fil: Quintana, Maria Camila. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Mar del Plata. Instituto de Investigaciones en Ciencia y Tecnologia de Materiales. Universidad Nacional de Mar del Plata. Facultad de Ingenieria. Instituto de Investigaciones en Ciencia y Tecnologia de Materiales; Argentina

Highlights

Fiber orientation distribution (FOD) prediction consists of determining the degree of fiber alignment as a function of the location through the part
This paper evaluates the predictions of the fiber orientation distribution (FOD) of an injected Venturi-shaped specimen
The orientation pattern measured through the CT technique is in accordance with the expectations arisen from previous knowledge and from the patterns measured by the standard method of optical microscopy

Summary

Introduction

Fiber orientation distribution (FOD) prediction consists of determining the degree of fiber alignment as a function of the location through the part. Folgar and Tucker (1984) have considered the evolution of the fiber orientation state of non-dilute fiber suspensions as a diffusive process, adding to the theoretical model of Jeffery’s Hydrodynamic an isotropic rotary diffusion term to model the randomizing effect of the interaction between fibers. In concentrated suspensions fibers tend to align more slowly with respect to the strain rate than the models based on the Jeffery’s equation predict, especially for composites with long discontinuous fibers (Wang et al, 2008; Phelps and Tucker, 2009; Tseng et al, 2016). Some years ago, Tseng et al (2016) proposed and implemented on Moldex3D an approach named the improved Anisotropic Rotary diffusion (iARD), which considers anisotropic fiber diffusion and incorporates the effect of the fiber-matrix interaction (like the ARD model) and the slowing down of the orientation through the Retardant Principal Rate model (RPR). The iARD-RPR model has been proved to be suitable for both short and long fiber reinforced composites (Tseng et al, 2016)

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Conclusion