Alternate identifier:
(KITopen-DOI) 10.5445/IR/1000123343
Related identifier:
-
Creator/Author:
Karl, Tobias [Karl, Tobias]

Gatti, Davide [Gatti, Davide]
Contributors:
-
Title:
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 2)
Additional titles:
-
Description:
(Abstract) The present work discusses the impact of the back coupling of the fiber orientation distribution on the base flow and on the fiber orientation itself during mold filling simulations. Flows through a channel and over a backward-facing step are investigated. Different closure approximations are considered for modeling the flow induced evolution of anisotropy. Results corresponding to the decoupled approach, in which the effect of fibers on local fluid properties is neglected, build the basis of comparison. The modeling is limited to a laminar, incompressible and isothermal flow of a fiber suspension consisting of rigid short fibers suspended in an isotropic Newtonian matrix fluid. A linear, anisotropic constitutive law is used in combination with a uniform fiber volume fraction of $10\,\%$ and an aspect ratio of $10$. To evaluate the impact of back coupling and of different closure methods in view of the manufactured solid composite the resulting anisotropic elastic properties are investigated based on the Mori-Tanaka method combined with an orientation average scheme. Relative to the range $[0,1]$ the pointwise difference in fiber orientation between the decoupled and the coupled approach is found to be $\pm 10\,\%$ in the channel and $\pm 30\,\%$ in the backward-facing step, respectively. The viscosity and the elasticity tensor show both significant flow induced anisotropies as well as a strong dependence on closure and coupling.
(Technical Remarks) Die aktualisierten Daten finden Sie unter http://dx.doi.org/10.5445/IR/1000126534
Keywords:
Short-fiber composites
Coupled molding simulation
Fiber orientation
Flow-induced anisotropic viscosity
Flow-induced anisotropic elasticity
Related information:
-
Language:
-
Production year:
Subject areas:
Engineering
Resource type:
Dataset
Data source:
-
Software used:
-
Data processing:
-
Publication year:
Rights holders:
Karl, Tobias

Gatti, Davide
Funding:
-

Number of views in the previous six months.

Dataset page views

122


Downloads

0


Overall statistics

Period Landing page accessed Dataset downloaded
Jul 2024 36 0
Jun 2024 24 0
May 2024 24 0
Apr 2024 9 0
Mar 2024 14 0
Feb 2024 15 0
Before 79 0
Total 201 0
Status:
Published
Uploaded by:
kitopen
Created on:
Embargo end date:
-