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Investigation of dense suspension rotary diffusion models for fiber orientation predictions during injection molding of short-fiber reinforced polymeric composites.

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dc.contributor.advisor Jack, David Abram, 1977-
dc.contributor.author Agboola, Babatunde O.
dc.date.copyright 2011-08
dc.identifier.uri http://hdl.handle.net/2104/8196
dc.description.abstract There is a need for physics-based mathematical models for the design of industrial short-fiber reinforced composites (SFRC) to predict the fiber orientation within the part. Traditional models for fiber interactions use the isotropic rotary diffusion model of Folgar and Tucker, but there is considerable interest to use the Phelps and Tucker anisotropic rotary diffusion model. Both models predict the flow induced orientation, which directly determines the resulting stiffness of an injection molded part. These two models are investigated in the present work. A number of fourth order orientation tensor closure approximations are investigated for both diffusion models, with the goal being to suggest the more effective and efficient closure approximation for a variety of flow conditions. Differences in the resulting elastic properties predicted from the two rotary diffusion models are observed. These observations raise questions as to which diffusion model should be used commercially for injection molded SFRCs. en_US
dc.publisher en
dc.rights Baylor University theses 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 librarywebmaster@baylor.edu for inquiries about permission. en_US
dc.subject Injection molding. en_US
dc.subject Short fiber reinforced polymeric composites. en_US
dc.subject Fiber orientation rotary diffusion models. en_US
dc.subject Closure approximations. en_US
dc.title Investigation of dense suspension rotary diffusion models for fiber orientation predictions during injection molding of short-fiber reinforced polymeric composites. en_US
dc.type Thesis en_US
dc.description.degree M.S. en_US
dc.rights.accessrights Worldwide access en_US
dc.contributor.department Engineering. en_US
dc.contributor.schools Baylor University. Dept. of Mechanical Engineering. en_US


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