Module Information

Module Identifier
MAM0320
Module Title
PARAMETER ESTIMATION IN CONTINUUM AND STOCHASTIC MODELS
Academic Year
2010/2011
Co-ordinator
Semester
Semester 2
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 8 Hours. (8 x 1 hour lectures)
Seminars / Tutorials 2 Hours. (2 x 1 hour tutorials)
Practical 18 Hours. (6 x 3 hour practicals)
 

Assessment

Assessment Type Assessment length / details Proportion
Semester Assessment [practical reports (80%); oral examination (20%)]  coursework  100%
Supplementary Assessment [practical reports]  coursework  100%

Learning Outcomes

On completion of this module, students should be able to:
1. Analyse data from a range of rheometrical experiments.
2. Determine the viscosity of a material as a function of shear-rate.
3. Perform time-temperature superposition.
4. Determine the discrete relaxation spectrum from oscillatory shear data.

Brief description

This module provides an introduction to modern and emerging techniques in parameter estimation for complex fluids. The theory and practice of data analysis for extracting material parameters and functions from rheometrical experiments will be described. In particular, the determination of viscosity as a function of shear-rate, time-temperature superposition and the determination of the discrete relaxation spectrum from the dynamic moduli will be examined. The characterisation of materials using simple and complex flows will be considered as well as advances in intelligent instrumentation.

Aims

This module will provide an introduction to the analysis of rheometrical data. The module will provide students with the skills necessary to analyse data output from rheometrical experiments and to use them to determine material parameters and functions in continuum and stochastic models.

Reading List

Recommended Text
A. A. Collyer (1993) Techniques in rheological measurement Chapman and Hall Primo search H. A. Barnes, J. Hutton and K. Walters (1989) An introduction to rheology Elsevier Primo search R. G. Owens and T. N. Phillips (2002) Computational Rheology Imperial College Press Primo search

Notes

This module is at CQFW Level 7