Module Descriptors
ADVANCED ENGINEERING MATERIALS
MECH70535
Key Facts
Digital, Technology, Innovation and Business
Level 7
15 credits
Contact
Leader: Kudakwashe Oniko
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
- EXAMINATION - UNSEEN IN EXAMINATION CONDITIONS weighted at 50%
- ASSIGNMENT weighted at 20%
- ASSIGNMENT - SECOND ASSIGNMENT weighted at 30%
Module Details
Module Resources
Material selection software e.g. CES
Composite modelling software e.g. CoDA
Materials testing equipment
Composite modelling software e.g. CoDA
Materials testing equipment
Module Texts
Material Selection in Mechanical Design Michael F Ashby 3rd ed. 2005 Oxford : Butterworth-Heinemann ISBN 0750661682
Composite Materials: Engineering and Science, F.L. Matthews, R.D. Rawlings (1999) Woodhead ISBN 1855734737
Practical Reliability Engineering, P O'Connor, 4th Edition (2002), Wiley. ISBN: 9780470844632
Composite Materials: Engineering and Science, F.L. Matthews, R.D. Rawlings (1999) Woodhead ISBN 1855734737
Practical Reliability Engineering, P O'Connor, 4th Edition (2002), Wiley. ISBN: 9780470844632
Module Special Admissions Requirements
A first degree in engineering or physical science including materials science or engineering.
Module Indicative Content
Properties of monolithic and conventional engineering materials
Hybrid materials - composites and coatings
Advanced and smart materials
Composite and laminate properties modelling techniques
Materials and process selection strategies and tools, constraint and objective based selection (Ashby model), multiple (and conflicting) objective
Digital logic ranking techniques
Materials failure prediction techniques - Weibull statistics of brittle fracture, fatigue models.
Hybrid materials - composites and coatings
Advanced and smart materials
Composite and laminate properties modelling techniques
Materials and process selection strategies and tools, constraint and objective based selection (Ashby model), multiple (and conflicting) objective
Digital logic ranking techniques
Materials failure prediction techniques - Weibull statistics of brittle fracture, fatigue models.
Module Additional Assessment Details
Unseen examination (2 hours) which will assess Learning Outcomes 1, 2, 3 and 4. (50%)
Individual material selection assignment (500 words equivalent) (20%) which will assess Learning Outcome 3
Written individual assignment based on group experimental work (30%) which will assess Learning Outcome 2 and 4
Individual material selection assignment (500 words equivalent) (20%) which will assess Learning Outcome 3
Written individual assignment based on group experimental work (30%) which will assess Learning Outcome 2 and 4
Module Learning Strategies
This module will enable students to gain understanding, apply knowledge, analyse and evaluate problems and create solutions through a variety of activities, including lectures, blended learning, practical sessions, student centred learning activities, directed but independent student learning and small group tutorials.