Course Details in 2025/26 Session

Module Title	LM Self-Sensing Materials and Advanced Condition Monitoring
School	Metallurgy and Materials
Department	Metallurgy & Materials
Module Code	04 31200
Module Lead	Professor Gerard Fernando
Level	Masters Level
Credits	10
Semester	Semester 2
Pre-requisites	LC Design for Structural Applications - (04 31174) LI Fracture, Fatigue and Degradation A - (04 34056) LI Fracture, Fatigue and Degradation B - (04 34060) LH Advanced failure analysis and Characterisation - (04 31195)
Co-requisites
Restrictions	None
Contact Hours	Lecture-22 hours Tutorial-4 hours Demonstration-4 hours Guided independent study-70 hours Total: 100 hours
Exclusions
Description	The module will give a detailed analysis of instrumented materials and structures, self-sensing and self-healing materials. This will include advanced NDT and remote condition monitoring techniques as well as basic methods for estimating remaining lifetime, maintenance strategies and reliability. These link to the following topics in the 2017 QAA Materials Subject Benchmark Statements: A • v) functional behaviour - the control through composition and structure of electrical, optical and magnetic properties as well as biocompatibility. • vii) compositional analysis - spectroscopic methods (electron/X-ray probe/ infra-red/ultra-violet techniques), chemical analysis • ix) techniques for determining electrical, optical and magnetic properties • vii) materials synthesis - vapour, liquid, colloidal, powder and solid-state deposition techniques • xi) materials design - compositional variation and processing to achieve required microstructures, and hence properties • xii) materials selection - consideration of all material types, materials processing methods, and product costs • xiii) degradation/durability of materials - effect of environment upon performance, corrosion, wear, and biodegradation • xiv) lifecycle analysis, sustainability and environmental impact.
Learning Outcomes	By the end of the module students should be able to: Apply the principles that govern self-sensing and self-healing materials to judge their use in engineering situations; Describe advanced NDT and remote condition monitoring and apply these to engineering problems; Review the basic methods for estimating remaining lifetime in these materials; Describe and evaluate the maintenance strategies and the concept of structural reliability; These link to the AHEP v4 learning outcomes: Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Some of the knowledge will be at the forefront of the particular subject of study (C1) Analyse complex problems to reach substantiated conclusions using first principles of mathematics, statistics, natural science and engineering principles (C2) Select and evaluate technical literature and other sources of information to address complex problems (C4) Adopt a holistic and proportionate approach to the mitigation of security risks (C10/M10) Use practical laboratory and workshop skills to investigate complex problems (C12/M12) Select and apply appropriate materials, equipment, engineering technologies and processes, recognising their limitations (C13/M13) Apply a comprehensive knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Much of the knowledge will be at the forefront of the particular subject of study and informed by a critical awareness of new developments and the wider context of engineering (M1)
Assessment	31200-01 : Case Study 1 : Coursework (50%) 31200-02 : Exam : Exam (Centrally Timetabled) - Written Unseen (50%)
Assessment Methods & Exceptions	Assessment: Written exam (50%) Continuous assessment (50%) Reassessment: Continuous assessment (100%)
Other
Reading List