Course: Reliability Engineering credits: 3
- Course code
- ELVH19ARE
- Name
- Reliability Engineering
- Study year
- 2022-2023
- ECTS credits
- 3
- Language
- English
- Coordinator
- B.D. Williams
- Modes of delivery
-
- Lecture
- Practical / Training
- Assessments
-
- Reliability Engineering - Assignment
Learning outcomes
The student can analyse quality and reliability of a design by understanding and applying some typical design methodology tools such as those used in ‘TQM, DMAIC, DFSS, HAZOP, FMEA, MuSCow, Guage R&R ’.
The student can find acceptable tolerances of a design based on worst-case and statistical tolerancing methods.
Content
Reliable design:
No one disputes the need for systems to be reliable1. But how do you design a product that performs without failure for a stated period of time? Engineering education is traditionally concerned with teaching how you can build a prototype of a product. The ways in which products fail, the effect of failure and aspects of design manufacture, maintenance and use which affects the likelihood of failure are not usually taught. Basic parameters like mass, dimensions, friction coefficients, strength and stresses are never absolute but subject to variability1. Understanding the cause and effect of variability is necessary for the creation of reliable products. In this study unit you will learn how to assess the possible failures and its effects (risks). You will learn to use probability testing for reliability assessment purpose. You will also learn modelling methods to model the variation in the design.
Once you have assessed the variation and the risks associated with your product you can start to (re)design your product towards a more reliable product. Several methods of mitigation will be taught. You will learn about feedback and control, simulations, software improvements and design excellence.
Typical aspects that will be covered could include
Introduction Quality systems
QFD (Quality Function Deployment)
FMEA (Failure Means and Effects Analysis)
SIPOC (Supplier, Input, Product, Output, Customer product map)
Benchmarking
Risk assessment
Gage R&R
Characterization
Transfer functions
Process capability models
Tolerance design
Product validation, product verification
Control Plan
Quality plan
Continue improvement (control systems/SPC, tracking systems)
[1]Practical Reliability Engineering, 4th Edition, Patrick O’Connor, Wiley 2002, ISBN 978-0-470-84463-2
Included in programme(s)
School(s)
- Institute of Engineering