M.Sc. (Tech.) 2
|Teacher(s) in Charge
University Lecturer, D.Sc. (Tech.) Kimmo Kerkkänen
After having passed this course, the student will be able to:
- utilize two reliability measures: safety index and probability of failure
- apply tools and techniques for risk analysis of a machine or mechanical system
- use principles, with which the designer can improve the geometries, shapes, sizes, material
properties, and topology of a product to reduce the failure probability
- utilize statistical information to support reliability design
- apply failure mode analysis, especially in context of wear and corrosion phenomena
- choose an appropriate distribution to analyze reliability aspects of a component
The importance of multidisciplinary optimization including reliability-based constraints in
design is discussed. Two significant reliability measures, safety index and probability of
failure, are compared and discussed. Tools and techniques for both qualitative and
quantitative risk analysis of an assembly or any technical system are presented. Principles,
with which the designer can modify the geometries, shapes, sizes, material properties, and
topology of a product to reduce the failure probability are discussed. Possibilities to utilize
statistical information to support reliability design are evaluated. Aspects, how uncertainties
associated with statistical distributions and any insufficient information may lead to large
errors in probability calculations in engineering, are clarified. Tools for analyzing failure
modes of machine elements, machines and technical systems especially in context of wear
and corrosion phenomena, are taught. Guidelines to choose an appropriate distribution to
analyze reliability aspects and lifetime of a component are presented. Team and project works deal with practical industrial applications of reliability based engineering.
Lectures total 28 h, periods 1 - 2. Literature search 20 h, periods 1 - 2. Team and project work
74 h, periods 1 - 2. Seminar 8 h, period 2. Total workload 130 h.
|Examination in Examination schedule (Yes/No)
|Examination in Moodle (Yes/No)
|Examination in Exam (Yes/No)
|Assessment scale and assessment methods
0-5, continuous and comprehensive evaluation of team and project work 70 %, seminar 30 %.
Patrick O’Connor, Andre Kleyner, Practical Reliability Engineering, 5th Edition, 978-0-470-
97982-2. Erdman, A.G., Mechanism Design. Norton, R.L., Design of Machinery. Thompson, G., Improving Maintainability and Reliability through Design. Lecture notes and exercise materials in the Moodle.
B.Sc. (Mech.Eng.) Degree or equivalent knowledge.
|Places for exchange-students? (Yes, number/No)
|Places for Open University Students?(Yes, number/No)