Mechanical Engineering – (M.Sc.)

Contents

Core modules
Advanced Thermodynamics and Thermal Systems

This course introduces both conventional and advance thermal power producing and refrigeration cycles/systems. It covers the analysis of these cycles and the assessment of their performance parameters. The course also examines new developments in power and refrigeration cycles and assesses their impact on the environment. The developments of powerpower and power-heat cycle/systems are introduced and their performances are investigated.

CFD Techniques

This module develops the student's knowledge of aerodynamic applications of CFD. It comprehensively reviews the governing equations of fluid flow and their area of application. The major numerical methods of solution are introduced, together with turbulence modelling. Meshing procedures are introduced, including physical measures of adequate meshing, solution adaptive meshing, multi-block and multi-grid methods.

Control of Mechanical Systems

This module will extend the students understanding of how to model the dynamic behaviour of mechanical systems using advanced mathematical modelling techniques and appropriate simulation software commonly used in industry. Conventional and modern methods of controller design will be used in order to modify the dynamic performance of electro-mechanical systems. Students will implement their controller designs using laboratory facilities. A particular emphasis will be placed on digital implementation of controllers using microcontrollers.

Dynamics and Performance of Mechanical Systems

This module will extend the students understanding of dynamic motion in mechanical systems using advanced mathematical modelling techniques to predict mechanical system behaviour and hence its performance. Condition monitoring / and Fault diagnosis methodologies will be used to measure mechanical system performance. Application of such techniques as used in a reliability/maintenance management strategy of mechanical systems is considered. The module will make use of simulation and laboratory facilities and in house as well as industrial based case studies.

MSc Projects

The Masters Project is a key integrating feature of the programme. It is designed to challenge and develop critical thinking skills at a post-graduate level. It provides the student with the opportunity to bring together and apply much of what they have learnt both in their undergraduate and postgraduate studies. Potential projects are identified with the support of staff across the school covering a wide range of appropriate areas. Some will be based in industry, others based within our own laboratories. Students are supported through the delivery of an initial short course training programme designed to equip them with the necessary project management, research methodology, investigation tools and analysis skills necessary to undertake a Masters level project. They will also be allocated and supported by individual project supervisor. It is expected that the project will require 600 hours of student effort and will result in a worthwhile and practical contribution to the chosen subject area.

Operations Management

This module will cover the fundamentals and strategic aspects of operations management and will enable the students to develop their understanding of operational processes, techniques, planning and control systems. Students will examine case studies relating to both manufacturing and service operations to support lectures and guided learning.

Operations Research

What makes the difference between a good decision and a bad decision? A 'good' decision is one that uses analytical decision making, and is based on logic and considers all available data and possible alternatives. Engineers and managers are decision makers, thus to achieve their goals, they must understand how decisions are made and know of which decision-making tools to use. To a great extent the success or failure of human resources and management depends on the quality of their decisions. Therefore, this module determines that with the use and implementation of good operations research decision-making tools, then the process of decision making should be made easier.