MECH ENG 7030 - Advanced Vibrations
North Terrace Campus - Semester 1 - 2015
General Course Information
Course Code MECH ENG 7030 Course Advanced Vibrations Coordinating Unit School of Mechanical Engineering Term Semester 1 Level Postgraduate Coursework Location/s North Terrace Campus Units 3 Contact Up to 4 hours per week Available for Study Abroad and Exchange Y Assumed Knowledge MECH ENG 3028, in particular an understanding of the principles of vibrations, including the influence of mass, stiffness and damping; an understanding of the concepts of vibration modes and natural frequencies; and familiarity with Matlab. Course Description Students will be introduced to advanced multi-degree of freedom system analysis techniques for vibroacoustic systems, including modal analysis, statistical energy analysis and finite element analysis. Introduction to mechanical signature analysis; vibration measurement and instrumentation; signal processing and analysis; filtering; frequency domain analysis; vibration monitoring; introduction to condition monitoring and fault diagnosis.
Course Coordinator: Professor Anthony Zander
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning Outcomes
This course aims to introduce advanced concepts of vibration and their engineering applications.
On completion of the course, students should:
1 Have an in-depth understanding of the principles of vibrations. 2 Understand the concepts of vibration modes and natural frequencies and their measurement and estimation for multi-degree-of-freedom systems. 3 Have an in-depth understanding of Statistical Energy Analysis and its application to complex vibroacoustic systems. 4 Have an understanding of vibration analysis concepts and experimental techniques including mobility, reciprocity, and modal analysis. 5 Be familiar with the use of Finite Element Analysis and its application to vibration design. 6 Understand the fundamentals of signal processing. 7 Understand the behaviour of a mechanical system, by analysing the vibration signature. 8 Be able to predict the performance of a machine, from knowledge of the machine’s vibration signature history. 9 Be capable of diagnosing faults in machines from a knowledge of the “fault” vibration signatures.
University Graduate Attributes
This course will provide students with an opportunity to develop the Graduate Attribute(s) specified below:
University Graduate Attribute Course Learning Outcome(s) Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised. 1-9 The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner. 1-9 An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems. 1-9 Skills of a high order in interpersonal understanding, teamwork and communication. 1-9 A proficiency in the appropriate use of contemporary technologies. 1-9 A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life. 1-9 A commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community. 1-9
Course notes – these are essential and required.
1. Inman, Daniel J., Engineering Vibration, Prentice Hall, Second Edition, 2001.
2. Lyon, R.H. and DeJong, R.G., Theory and Application of Statistical Energy Analysis, Second Edition, Butterworth-Heinemann, 1995.
3. Beranek, L.L and Ver, I.L, Noise and Vibration Control Engineering Principles and Applications, Wiley-Interscience, 1992.
4. Bies, D.A., and Hansen, C.H., Engineering Noise Control, Third Edition, Spon Press, 2003.
5. Ewins, D.J., Modal Testing: Theory, Practice and Application, Second Edition, Research Studies Press, 2000.
6. Norton, M.P., and Karczub, D.G., Fundamentals of Noise and Vibration Analysis for Engineers, 2nd Ed., Cambridge University Press, 2003.
7. Randall, R.B., Frequency Analysis, Bruel and Kjaer, Denmark, 3rd edition, ISBN 8787355078, 1987.
8. Smith, S.W., The Scientist and Engineer's Guide to Digital Signal Processing, California Technical Publishing, ISBN 0966017633, 1997.
Lectures complemented by online resources available on MyUni, including lecture recordings.
Learning & Teaching Activities
Learning & Teaching Modes
Lectures supported by problem-solving tutorials and practicals developing material covered in lectures.
The information below is provided as a guide to assist students in engaging appropriately with the course requirements.The required time commitment is 48 hours attendance at lectures, 48 hours of revising course material, 48 hours completing assignments, 6 hours of laboratory classes, and 12 hours preparing and completing practical reports.
Learning Activities Summary
modal analysis (5 lectures + 1 tutorial)
statistical energy analysis (9 lectures + 1 tutorial)
use of vibration and principles of design of vibration equipment (1 lecture)
signal processing and analysis; frequency domain analysis; vibration measurement and instrumentation; and Machine Condition Monitoring (14 lectures + 2 tutorials)
reciprocity (2 lectures)
finite element analysis (5 lectures)
a self-directed feasibility study assignment examining application of a technology relating to Advanced Vibrations (equivalent to 8 lectures)
Specific Course Requirements
The University's policy on Assessment for Coursework Programs is based on the following four principles:
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment practices must be fair and equitable to students and give them the opportunity to demonstrate what they have learned.
- Assessment must maintain academic standards.
All assessment tasks are summative. There are 5 assignments worth a total of 20% of the assessment and an open book exam worth 70%. In addition, there is a practical report worth 10%.
All assignments are due by 5pm on the due date.
Assessment Related Requirements
Note that the laboratory experiment is compulsory and it is a requirement to pass the laboratory experiment to pass the course.
No information currently available.
All assignments must be submitted as instructed, either in the digital drop box in MyUni or as a hard copy placed in the labelled box adjacent on level 2, Engineering South. Any assignments submitted as a hard copy must be accompanied by an assessment cover sheet available on shelf beside submission box. Late assignments will be penalised 10% per day. Extensions for assignments will only be given in exceptional circumstances and a case for this with supporting documentation can be made in writing after a lecture or via email to the lecturer. Hard copy assignments will be assessed and returned in 3 weeks of the due date. There will be no opportunities for re-submission of work of unacceptable standard. Due to the large size of the class feedback on assignments will be limited to in-class discussion resulting from questions from students.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Grade Descriptors are available which provide a general guide to the standard of work that is expected at each grade level. More information at Assessment for Coursework Programs.
Final results for this course will be made available through Access Adelaide.
The University places a high priority on approaches to learning and teaching that enhance the student experience. Feedback is sought from students in a variety of ways including on-going engagement with staff, the use of online discussion boards and the use of Student Experience of Learning and Teaching (SELT) surveys as well as GOS surveys and Program reviews.
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