Wednesday, November 7, 2007 - 2:35 PM
414f

Characterizing Rheological Properties of Newtonian and Non-Newtonian Fluid Food Products with A Statistical Method

Kyung C. Kwon1, Tamara Floyd-Smith2, Nader Vahdat3, Claudell Burnell1, Tikia Allen1, Paul Jones4, and Pamela C. Dautenhahn1. (1) Chemical Engineering, Tuskegee University, 514 Engineering Building, University Ave, Tuskegee, AL 36088, (2) Chemical Engineering Department, Tuskegee University, 522A Luther Foster Hall, Tuskegee, AL 36088, (3) Tuskegee University, 522A Luther H. Foster Hall, Tuskegee, AL 36088, (4) P&G, 1496 Jonquilmeadow, Cincinnati, OH 45240

A tank-tube viscometer and its novel Newtonian and non-Newtonian viscosity equations were developed to determine flow characteristics of Newtonian and non-Newtonian fluids. Rheological behaviors of fluid food products are characterized with the novel viscosity equations of the tank-tube viscometer.

Experimental data of accumulated amounts of a test fluid drained from the reservoir of a tank-tue viscometer at various drain durations are obtained, using an electronic balance, a data acquisition software, and EXCEL spreadsheet. The viscometer is kept at a desired temperature with a circulator. A series of experimental data for the test fluid were obtained under controlled experimental conditions such as the test fluid composition and temperatures of the test fluid.

Several series of experimental data of amounts of Newtonian fluids drained from the reservoir at various drain durations are applied to the Newtonian viscosity equation to obtain dynamic viscosity values with the linear least squares method. Several series of experimental data of amounts of shear-thinning fluids drained from the reservoir at various drain durations are applied to the non-Newtonian viscosity equation to characterize rheological behavior of non-Newtonian fluids through the linear least squares method.

The objectives of this presentation are for our students to be familiar with statistical analysis of experimental data, to understand accuracies of experimental data with correlation coefficients obtained from statistical analysis of experimental data, to be able to recognize and omit some bad experimental data deviated noticeably from the rest of experimental data set, and to identify possible experimental error sources.