Fiber Orientation Predictions—A Review of Existing Models
Fiber reinforced polymers are key materials across different industries. The manufacturing processes of those materials have typically strong impact on their final microstructure, which at the same time controls the mechanical performance of the part. A reliable virtual engineering design of fiber-r...
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doaj-a704768b3c9f428a879aef2b13a47b6f2020-11-25T02:48:49ZengMDPI AGJournal of Composites Science2504-477X2020-06-014696910.3390/jcs4020069Fiber Orientation Predictions—A Review of Existing ModelsSusanne Katrin Kugler0Armin Kech1Camilo Cruz2Tim Osswald3Corporate Sector Research and Advance Engineering, Robert Bosch GmbH, 71272 Renningen, GermanyCorporate Sector Research and Advance Engineering, Robert Bosch GmbH, 71272 Renningen, GermanyCorporate Sector Research and Advance Engineering, Robert Bosch GmbH, 71272 Renningen, GermanyPolymer Engineering Center, University of Wisconsin-Madison, Madison, WI 53706, USAFiber reinforced polymers are key materials across different industries. The manufacturing processes of those materials have typically strong impact on their final microstructure, which at the same time controls the mechanical performance of the part. A reliable virtual engineering design of fiber-reinforced polymers requires therefore considering the simulation of the process-induced microstructure. One relevant microstructure descriptor in fiber-reinforced polymers is the fiber orientation. This work focuses on the modeling of the fiber orientation phenomenon and presents a historical review of the different modelling approaches. In this context, the article describes different macroscopic fiber orientation models such as the Folgar-Tucker, nematic, reduced strain closure (RSC), retarding principal rate (RPR), anisotropic rotary diffusion (ARD), principal anisotropic rotary diffusion (pARD), and Moldflow rotary diffusion (MRD) model. We discuss briefly about closure approximations, which are a common mathematical element of those macroscopic fiber orientation models. In the last section, we introduce some micro-scale numerical methods for simulating the fiber orientation phenomenon, such as the discrete element method (DEM), the smoothed particle hydrodynamics (SPH) method and the moving particle semi-implicit (MPS) method.https://www.mdpi.com/2504-477X/4/2/69fiber orientationfiber reinforced thermoplasticsmodeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Susanne Katrin Kugler Armin Kech Camilo Cruz Tim Osswald |
spellingShingle |
Susanne Katrin Kugler Armin Kech Camilo Cruz Tim Osswald Fiber Orientation Predictions—A Review of Existing Models Journal of Composites Science fiber orientation fiber reinforced thermoplastics modeling |
author_facet |
Susanne Katrin Kugler Armin Kech Camilo Cruz Tim Osswald |
author_sort |
Susanne Katrin Kugler |
title |
Fiber Orientation Predictions—A Review of Existing Models |
title_short |
Fiber Orientation Predictions—A Review of Existing Models |
title_full |
Fiber Orientation Predictions—A Review of Existing Models |
title_fullStr |
Fiber Orientation Predictions—A Review of Existing Models |
title_full_unstemmed |
Fiber Orientation Predictions—A Review of Existing Models |
title_sort |
fiber orientation predictions—a review of existing models |
publisher |
MDPI AG |
series |
Journal of Composites Science |
issn |
2504-477X |
publishDate |
2020-06-01 |
description |
Fiber reinforced polymers are key materials across different industries. The manufacturing processes of those materials have typically strong impact on their final microstructure, which at the same time controls the mechanical performance of the part. A reliable virtual engineering design of fiber-reinforced polymers requires therefore considering the simulation of the process-induced microstructure. One relevant microstructure descriptor in fiber-reinforced polymers is the fiber orientation. This work focuses on the modeling of the fiber orientation phenomenon and presents a historical review of the different modelling approaches. In this context, the article describes different macroscopic fiber orientation models such as the Folgar-Tucker, nematic, reduced strain closure (RSC), retarding principal rate (RPR), anisotropic rotary diffusion (ARD), principal anisotropic rotary diffusion (pARD), and Moldflow rotary diffusion (MRD) model. We discuss briefly about closure approximations, which are a common mathematical element of those macroscopic fiber orientation models. In the last section, we introduce some micro-scale numerical methods for simulating the fiber orientation phenomenon, such as the discrete element method (DEM), the smoothed particle hydrodynamics (SPH) method and the moving particle semi-implicit (MPS) method. |
topic |
fiber orientation fiber reinforced thermoplastics modeling |
url |
https://www.mdpi.com/2504-477X/4/2/69 |
work_keys_str_mv |
AT susannekatrinkugler fiberorientationpredictionsareviewofexistingmodels AT arminkech fiberorientationpredictionsareviewofexistingmodels AT camilocruz fiberorientationpredictionsareviewofexistingmodels AT timosswald fiberorientationpredictionsareviewofexistingmodels |
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1724746499339845632 |