Purdue University
INVESTIGATING RHEOLOGICAL TECHNIQUES TO MODEL AND PREDICT OPERATING CONDITIONS OF A SINGLE SCREW EXTRUDER WITH INTERNAL RESTRICTIONS
Abstract
dc:description.abstractUnderstanding rheology of raw materials and the numerous transformations they undergo is an essential aspect of modeling and predicting extrusion conditions. Both off-line capillary rheometry and in-line extruder fed rheometry techniques have been used to model rheology of materials during extrusion. Investigations on use of an off-line capillary rheometer to model apparent viscosity of full fat soy flours revealed inability of the capillary rheometer to handle food/biological materials high in oil content (20%) at high temperature (80C) and low moisture content (15% wet basis). The lack shear degradation in the capillary rheometer also resulted in over-prediction of corn flour viscosities at high temperatures (80 to 120C), shear rates (1 to 100 s-1) and low moisture contents (35 to 40%). A novel two-opening die attached to a small scale extruder operating at 100 to 300 rpm was used to measure in-line viscosities of cornmeal at 32.5 to 37.5% moisture during extrusion. Comparison of off-line versus in-line cornmeal viscosities at similar conditions consistently indicated that for food/biological materials sensitive to shear degradation, in-line viscosities were lower. Pasting property measurement revealed differences in material transformation which could be used to explain differences between techniques. Mechanistic model for the small-scale
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (PhD)
- Level thesis:degree_level
- Dissertation
- Discipline thesis:degree_discipline
- Agricultural and Biological Engineering
- Year
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Ponrajan, Amudhan
- Contributors dc:contributor
-
- Martin R Okos
- Osvaldo H Campanella
- Bruce R Hamaker
- Ganesan Narsimhan
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://docs.lib.purdue.edu/open_access_dissertations/1267
- OAI identifier oai:identifier
- oai:docs.lib.purdue.edu:open_access_dissertations-2483