Computational and Experimental Methods

Recommended Prerequisites

Not applicable.

Teaching Methods

Material is delivered through 32 lectures and 6 example sessions during one semester.

Module assessment is done in two assignments, covering the experimental methods and computing methods.

In these assignments students will have to solve examples and write a report for each assignment.

Learning Outcomes

On successful completion of this module, students should understand the basic concepts of computational and experimental methods. In order to fulfil this goal, the module will be divided into three sections. The first will enable the student to select a suitable numerical algorithm and develop a computer code in Matlab implementing it. The second section will concentrate on achieving a basic understanding of a variety of traditional and advanced laser diagnostic techniques for the measurement of parameters that include pressure, temperature, velocity, species concentration, stress and vibration. The third section will address computerised data acquisition and signal processing techniques and, therefore, will provide the link between sections one and two.

Work Placement(s)

No

Syllabus

The role of approximations in Engineering computation, Introduction to Matlab and programming in Matlab M code: data types, assignments, constants, logical expressions, decisions and loops. Numerical solution ofOrdinary Differential Equations using Matlab functions and via numerical programming methods. Classification of Partial Differential Equations into parabolic, elliptic and hyperbolic type. Numerical methods for solving engineering examples of parabolic, elliptic and hyperbolic equations, Signal processing using Matlab. Transducers and optical techniques; temperature, pressure, velocity, species concentration, vibration, stress and strain. Lasers and laser diagnostics . Automotive and energy applications. Computer-based data acquisition. Digital filtering: transform function, first and second order, Bode plots digital filters, difference equation, discretising continuous-time filters.

Assessment Methods

Assessment
In these assignments students will have to solve examples and write a report for each assignment: 100.0%

Bibliography

Introduction to MATLAB 6 for engineers - William J Palm III, isbn 0-07-234983-2.