Advanced Mechanical Engineering

This module offers an in-depth introduction to Computational Fluid Dynamics (CFD), focusing on practical engineering applications using industry-standard software. It covers the governing equations of fluid flow, including laminar and turbulent models, with emphasis on meshing, convergence analysis, and turbulence modelling. Analytical and computational techniques are applied to complex problems, highlighting their limitations. Technical literature is critically evaluated to support modelling strategies. Communication of engineering outcomes is developed through reports and presentations. The module also encourages self-directed learning, supports continuous professional development (CPD), and introduces advanced topics and current research trends relevant to CFD and thermal-fluid sciences. 

This module offers an in-depth introduction to Finite Element Analysis (FEA), focusing on practical engineering applications using industry-standard software. The syllabus introduces students to essential modelling techniques used in real-world engineering practice and professional workflows. The module utilises various element types, including beam elements, thin shell elements, and emphasises the importance of selecting appropriate modelling strategies.  You will also learn about element compatibility issues and investigate advanced topics such as modal analysis enabling you to analyse natural frequencies, while transient analysis under dynamic loading conditions provides insight into time-dependent structural responses.  By the end of the module, you will have acquired skills to both produce and interpret FEA results. 

This module develops a systematic understanding of control system analysis, with emphasis on applying mathematical and engineering principles to complex problems. Key topics include mathematical modelling, system response analysis, stability, and the role of feedback in achieving desired behaviour. Structured analytical approaches are used to formulate and evaluate control problems using first principles, supported by computational techniques where appropriate. The limitations of applied methods are discussed in context. The module integrates theoretical and practical perspectives, supporting the design of solutions that meet performance needs. Effective communication of control concepts across technical contexts is also developed to support professional engineering practice.

This module develops comprehensive knowledge of control system design and measurement techniques to support the solution of complex engineering problems. It covers frequency response analysis, feedback control, and digital control strategies, enabling the formulation and analysis of control challenges using first principles. Emphasis is placed on selecting and applying appropriate analytical and computational techniques, with recognition of their limitations. Key aspects of sensing and measurement are integrated to support the design of control systems that address performance and user needs. Effective communication of complex control concepts is developed across both technical and practical engineering contexts.

In this module, you will examine the societal, professional, and organisational contexts of engineering practice, with emphasis on the full life-cycle of projects and processes. You will develop skills in project and change management, quality systems, risk and security mitigation, and ethical decision-making informed by professional codes. The module highlights sustainability, EDI, and intellectual property rights within engineering solutions. Through a group design project, you will apply engineering technologies, evaluate environmental and societal impacts, and reflect on team effectiveness. This experience will support your ability to lead and manage complex problems responsibly in diverse and interdisciplinary professional environments. 

This module focuses on the design of complex mechanical systems using a systems-based and collaborative approach. Emphasis is placed on applying engineering principles to develop innovative solutions that meet societal, environmental, and commercial requirements. Group projects involve the selection and application of appropriate materials, technologies, and processes, supported by computer-aided engineering tools. Sustainability, ethical considerations, security risks, and inclusive engineering practice are embedded throughout. The module also develops skills in project management, communication, and team leadership, with structured reflection on individual and team performance in line with professional engineering standards. 

This module provides the principles, technologies, and strategies underpinning the efficient utilisation of energy and the transition towards sustainable energy systems. It critically evaluates conventional and emerging energy technologies, energy efficiency measures, and demand management approaches. The environmental and societal impacts of energy production and use are analysed across the full life cycle, with an emphasis on minimising adverse effects. Consideration is given to clean energy technologies, carbon capture, emissions control, and the influence of regulatory and policy frameworks. A multidisciplinary and systems-based approach is adopted, integrating engineering, environmental, economic, and social dimensions to design sustainable and inclusive energy solutions. 

This module provides an advanced study of two- and three-dimensional dynamics and vibration in engineering systems, with emphasis on multi-degree-of-freedom modelling and computational vector analysis. Complex dynamic problems are solved using analytical and numerical techniques, including Finite Element Analysis (FEA), with clear discussion of method limitations. Practical and computational skills are developed through simulation-based investigations, supported by risk evaluation within engineering design. The module integrates critical literature analysis, effective technical communication, and reflective practice. Self-directed learning is embedded throughout to support continuing professional development and the foundation for lifelong learning in advanced mechanical system analysis. 

The dissertation is your opportunity to exercise what you have learnt in a research (student-focused) environment. As part of the assessment, you will conduct research under the direction of an academic supervisor, which will involve a range of high-level coordinated academic and practical work.