Files in this item
|(no description provided)|
|Title:||On-line rheology, flow simulation and system-based modelling of twin-screw extrusion processing of corn meal|
|Author(s):||Mirza, Iqbal A.|
|Doctoral Committee Chair(s):||Villota, Ricardo|
|Department / Program:||Agriculture, Food Science and Technology
|Discipline:||Agriculture, Food Science and Technology
|Degree Granting Institution:||University of Illinois at Urbana-Champaign|
|Subject(s):||Agriculture, Food Science and Technology
|Abstract:||Rheological characterization of corn meal formulations was carried out using a twin screw extruder as a rheometer. On-line rheometrical techniques used for rheological characterization of non-food polymers were modified to make them adaptable to food materials extruded in a twin-screw extruder. The experimentally obtained pressure drop data was transformed into rheological parameters and was fitted to known rheological models (e.g. Power-law model). Furthermore, the effects of temperature and moisture content were incorporated to arrive at a more comprehensive rheological model.
Objective Driven Modelling and Simulation (ODMS) methodology was applied to carry out computer simulations of flow through extrusion dies. The rheological model parameters obtained from online rheometry was used along with fluid flow models for flow simulation. A fluid dynamic analysis program (FIDAP) was utilized for flow simulation studies. The simulation experiments were carried out on both simple capillary dies and more complex mandrel geometries.
The rheological parameters obtained from on-line rheological experiments along with the system parameters (mechanical and thermal energy input) were employed as a bridge between the influencing and influenced parameters of the extrusion process. The influencing parameters (operating variables of the extrusion process) were correlated via design of experiments and regression techniques to the system parameters and rheological parameters of the food melt. The system parameters (specific mechanical energy and product temperature) were correlated to the functional properties and morphology of the extruded product. This approach allows the prediction of product characteristics from the knowledge of system parameters or if the product characteristics are known, the system parameters can be determined. The knowledge of system parameters permits the selection of operating environment needed to attain the desired product characteristics.
|Rights Information:||Copyright 1991 Mirza, Iqbal A.|
|Date Available in IDEALS:||2011-05-07|
|Identifier in Online Catalog:||AAI9210919|
This item appears in the following Collection(s)
Dissertations and Theses - Food Science and Human Nutrition
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois