MEC444 : Industrial Experimental Methods for Engineering Problems

This module focusses on experiential learning, application of knowledge gained from lectures and extensive background reading, and you will also be expected to participate in group work.

Dr Rachel Tomlinson

Module Description

The module aims to provide students with an understanding of how experimental techniques can be used to solve industrial engineering problems. The students will be introduced to the theory behind, and practice of, a range of measurement techniques, common to static and dynamic problems, through a combination of lectures and labs and tutorial sessions. Working in small groups the students will be tasked to design and execute a suitable experiment to address an industrially relevant problem; analysing data and making informed decisions within the context of the problem

Key Concepts & Assumed Knowledge

This module builds on knowledge gained from previous studies within engineering. So it is assumed that the students will have a good understanding of strain and stress and also dynamic systems and structural vibrations.

Teaching Methods

• Lectures
• Tutorials
• Labs
• Independent study time

Assessment Methods

• 90% Coursework - 3000 word report will be submitted following the project work
• 10% Other - pre and post lab exercises

Module Aims

This module aims to:

• Provide an understanding of the practical considerations when applying modern experimental methods to complex static and dynamic industrial engineering problems.

• Include principles, advantages and disadvantages of the techniques so that students are able to select the most appropriate technique or combination of techniques for use in a particular situation

• Design and execute an experiment to solve an industrially relevant problem in a safe, effective and efficient manner.

• Develop the ability to report verbally and in a written manner, defending decisions, and reflecting on results.

• Challenge students to apply their existing foundational understanding of (mechanical) engineering to research or industrial problems that involve more ambiguous or uncertain data and where judgement plays a much greater role.