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Baylor University.

Modeling of flexible fiber motion and prediction of material properties.

Abstract

dc:description.abstract

This work employs the rod chain model of Wang et al. (2006) to study the motion of discrete flexible fibers. Results are presented for both individual fibers and a stochastic distribution of fibers to study the variations in the transient effects between the rigid and the flexible fiber systems. Results demonstrate that the observed period decreases as the fiber flexure increases, and provide insight into the modifications required for the orientation distribution function of flexible suspensions. To demonstrate the importance in studying the alterations in the transient effects on a processed part, a study of the cured composite stiffness is presented for the flexible fiber system using the micro-mechanical approach of Hsiao and Daniel (1996) along with an adapted version of the rigid fiber micromechanical approach discussed by Jack and Smith (2008).

Degree

thesis:*
Name thesis:degree_name
M.S.M.E.
Level thesis:degree_level
Masters
Grantor
Baylor University.
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Cong, 1986-
Advisor dc:contributor.advisor
  • Jack, David Abram, 1977-

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • Baylor University works are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.
Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/2104/8251
OAI identifier oai:identifier
oai:baylor-ir.tdl.org:2104/8251

Chain of custody

source
Harvested from
Baylor University
Base URL
baylor-ir.tdl.org/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Zhang, Cong, 1986-. Modeling of flexible fiber motion and prediction of material properties.. Masters thesis, Baylor University., 2011. https://hdl.handle.net/2104/8251