Alternativer Identifier:
(KITopen-DOI) 10.5445/IR/1000126534
Verwandter Identifier:
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Ersteller/in:
Karl, Tobias [Karl, Tobias]

Gatti, Davide [Gatti, Davide]
Beitragende:
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Titel:
Coupled Simulation of Flow-Induced Viscous and Elastic Anisotropy of Short-Fiber Reinforced Composites (Version 3)
Weitere Titel:
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Beschreibung:
(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 $\pm 5\,\%$ 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) The readme file explains the use of the data and is provided together with the data.
Schlagworte:
Short-fiber composites
Coupled molding simulation
Fiber orientation
Flow-induced anisotropic viscosity
Flow-induced anisotropic elasticity
Zugehörige Informationen:
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Sprache:
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Erstellungsjahr:
Fachgebiet:
Engineering
Objekttyp:
Dataset
Datenquelle:
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Verwendete Software:
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Datenverarbeitung:
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Erscheinungsjahr:
Rechteinhaber/in:
Karl, Tobias

Gatti, Davide
Förderung:
-
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Status:
Publiziert
Eingestellt von:
kitopen
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Archivierungsdatum:
2023-06-21
Archivgröße:
24,0 MB
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kitopen
Archiv-Prüfsumme:
35d577f9f56a9ac3f9cbe9c8f15dd5bc (MD5)
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