The purpose of this module is to introduce students to the theory and practice of the finite element method, with applications in stress analysis, heat transfer and general field problems in order to complement other modules in these subjects. Students have the opportunity to become aware of the capabilities and limitations of the finite element method and the practical problems involved in successfully modelling engineering structures and components.
In this module, students have the opportunity to create design concepts relating to an engineering artefact or topic. This module provides a learning experience that aims to enable students to apply their engineering and scientific knowledge within a realistic and substantial team project, and gain experience of working in a research or industry based design environment.
Students will have the opportunity to demonstrate their creativity and initiative in carrying out a demanding investigation or design project. As teams, students can negotiate with their ‘client’, be it an academic supervisor or an external sponsor, develop team working skills, plan their project, and present their work through meetings, reports and oral presentation. Teams will be comprised of students following different specialist streams, representing different areas of expertise.
The last decade has seen an upsurge in the development of intelligent modelling and control structures over their counterpart mathematical model-based structures due to their success in dealing with complex multivariable uncertain systems without the need for extensive dynamic modelling. At the forefront of intelligent systems strategies are Rule-based Expert Systems, Fuzzy Logic Systems, Artificial Neural Networks, Probabilistic and Evolutionary Algorithms, Hybrid Intelligent Systems, and Intelligent Control Systems, which have all proved to be serious contenders for many other conventional modelling and control methods. In the light of these considerations, this module aims to:
- Introduce the various ideas behind these theories
- Draw a parallel with other conventional modelling and control techniques. This module provides an introduction to the theories and practices of machine learning and data modelling, and to fuzzy logic within a control and systems engineering context
- Describe how these techniques can be applied to solve real world problems.
The module looks at the underlying principles of machine learning, data modelling and fuzzy logic, the advantages and limitations of the various approaches and effective ways of applying them in systems and control engineering, with the aim of making students appreciate the merits of the various technologies hence introduced.
The purpose of this module is to explore the details behind the equipment required to support and facilitate usable energy provision through applied turbomachinery. A whole systems approach is used in the evaluation of turbomachinery equipment so that opportunities for intensive exploitation of resources and efficiency savings can be identified. Maintenance and availability will feature significantly to cover the lifecycle of the described systems.
The syllabus for this module can be divided into four topics:
An understanding of the theory, principles and techniques used in Laser-materials Processing (LMP) are required before more advanced understanding can be achieved. This includes knowledge of the stimulated emission phenomenon, techniques used to generate laser light, laser delivery methods and a detailed understanding of optics, including thin lens theory and the ability to identify the range of optics needed for laser beam transmission and manipulation.
Students are introduced to the principles of safe use of laser sources; covering the risk classification system, the relevance of wavelength, prevention and mitigation techniques as well as a wide range of associated considerations.
Students are introduced to the importance of wavelength in laser interactions with materials. Industrial processes are classified by wavelength and detailed description of each process including modelling techniques are covered. These principles are reinforced by two laboratory sessions: one for short (UV) wavelength radiation and another for long (NIR, IR) wavelength radiation.
Novel Laser Applications
Students have the opportunity to learn how to identify and describe the potential benefits to manufacturing processes offered by the application of lasers as a result of their unique characteristics. This knowledge requires advanced application of the multidisciplinary content of a mechanical engineering degree in areas such as materials science, dynamics, thermodynamics, fluid dynamics and electronics.
The aim of this module is to provide an overview of the management of projects throughout the project life-cycle, from concept to beneficial operation. Business has long recognised the imperative for good, integrated processes in order to extract best value from capital investments; this course explores the benefits and imperatives for adopting a Capital Value Process for selecting the right projects to deliver required business goals, and for establishing robust Project Execution Plans for delivering world class results, as well as facilitating executive control at all stages throughout the project lifecycle. The student will compare and contrast the differing emphases and approaches to project delivery for several professional bodies and will be introduced to ten key project principles which underpin world class project performance across a broad range of industry sectors. They will also practise using several strategic planning tools to aid objective decision making and option screening. Importantly, the course will establish the imperative of good health, safety and environmental performance as a business value. It is not the intention of this module to teach project technical skills, such as planning, estimating or contract administration, but more to equip future project managers with a broad range of skills and competences so that, armed with the core project principles they might harness the skills of a diverse team of project professionals in developing and executing major projects, programmes and portfolios of the future.
This module aims to provide a thorough introduction to key concepts underlying the options available and the issues related to selection of sensors and actuators for control. Emphasis will be placed on systems of electro-mechanical nature but reference will be made to the much wider applicability of the techniques.
This module deals with current and potential future energy systems, covering resources, extraction, conversion, and end-use technologies, with emphasis on meeting regional and global energy needs in the 21st century in a sustainable manner. The course includes the review of various renewable and conventional energy production technologies, energy end-use practices and alternatives, and consumption practices in different countries. Students are given the opportunity to learn a quali-quantitative framework to aid in evaluation and analysis of energy technology system proposals in the context of engineering, political, social, economic, and environmental goals.
This module builds on earlier control theory to apply and extend the previously studied controller design methods.
The focus is primarily on passenger cars and considers the primary dynamic systems such as driveline, suspension and braking systems. The module starts with the underlying vehicle system dynamics and the corresponding reduced-order system models, including as the quarter-car suspension model and the bicycle handling model. Then a number of linear and nonlinear control methods are reviewed and developed in the context of particular control objectives. For longitudinal motion, control action is centred on the engine, driveline, and brakes. For vertical motion (ride) the focus is on suspension control, including active and semi-active suspensions. Finally, handling control is based on active steering and brake-based electronic stability control.
Students are given the opportunity to develop an analytical understanding of complex vibrating systems, with particular reference to rotating machines such as gas turbines and wind turbines. Students are introduced to the quantitative aspects of noise control.