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Understanding the Effect of Extrusio...

Tonner, Troy.

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Understanding the Effect of Extrusion Conditions on Melt Viscosity to Aid in Modeling of a Single Screw Extruder with Internal Restrictions for Scale-up Purposes.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding the Effect of Extrusion Conditions on Melt Viscosity to Aid in Modeling of a Single Screw Extruder with Internal Restrictions for Scale-up Purposes./
作者:	Tonner, Troy.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	120 p.
附註:	Source: Masters Abstracts International, Volume: 79-12.
Contained By:	Masters Abstracts International79-12.
標題:	Bioengineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10810344
ISBN:	9780438020290

Understanding the Effect of Extrusion Conditions on Melt Viscosity to Aid in Modeling of a Single Screw Extruder with Internal Restrictions for Scale-up Purposes.
Tonner, Troy.

Understanding the Effect of Extrusion Conditions on Melt Viscosity to Aid in Modeling of a Single Screw Extruder with Internal Restrictions for Scale-up Purposes. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 120 p.

Source: Masters Abstracts International, Volume: 79-12.

Thesis (M.S.A.B.E.)--Purdue University, 2018.

This item must not be added to any third party search indexes.

A single screw extruder with inner restrictions that is self-heated by friction and viscous dissipation was investigated. The effect of the processing parameters: feed moisture, screw speed, and feed rate on the melt viscosity and die temperature rise were researched using a dual orifice die. The melt viscosity was also measured using an offline capillary rheometer. The offline data was compared to and used to predict the inline viscosity of the melt. Various methods such as multilinear regression and superpositioning were used to model viscosity as a function of the processing parameters. Next, the current analytical model was evaluated using Finite Element Methods (FEM) paired with the Newton-Rhapson Method. FEM was then used to further the current analytical model to consider 2-D flow as well as nonlinear temperature rise along the screw channel. Overall, as the screw speed increased while maintaining a similar degree of screw fill, the melt viscosity decreased and the temperature rise increased. Comparisons to the offline data at higher moistures were made, but not at lower moistures due multiple dependent variables producing nonlinear behavior along with scatter in the data.

ISBN: 9780438020290Subjects--Topical Terms:

657580
Bioengineering.
Subjects--Index Terms:

Extrusion

Understanding the Effect of Extrusion Conditions on Melt Viscosity to Aid in Modeling of a Single Screw Extruder with Internal Restrictions for Scale-up Purposes.
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500 $a Source: Masters Abstracts International, Volume: 79-12.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Okos, Martin R.
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506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a A single screw extruder with inner restrictions that is self-heated by friction and viscous dissipation was investigated. The effect of the processing parameters: feed moisture, screw speed, and feed rate on the melt viscosity and die temperature rise were researched using a dual orifice die. The melt viscosity was also measured using an offline capillary rheometer. The offline data was compared to and used to predict the inline viscosity of the melt. Various methods such as multilinear regression and superpositioning were used to model viscosity as a function of the processing parameters. Next, the current analytical model was evaluated using Finite Element Methods (FEM) paired with the Newton-Rhapson Method. FEM was then used to further the current analytical model to consider 2-D flow as well as nonlinear temperature rise along the screw channel. Overall, as the screw speed increased while maintaining a similar degree of screw fill, the melt viscosity decreased and the temperature rise increased. Comparisons to the offline data at higher moistures were made, but not at lower moistures due multiple dependent variables producing nonlinear behavior along with scatter in the data.
590 $a School code: 0183.
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650 4 $a Food Science. $3 890841
650 4 $a Chemical engineering. $3 560457
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653 $a Finite element methods
653 $a Modeling
653 $a Rheology
653 $a Starch
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690 $a 0359
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793 $a English
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