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ME 6622: Experimental Methods
Offered Every Spring
| Credit Hours: |
3-0-3 |
| Prerequisites: |
Graduate standing, a graduate-level understanding of mechanics, and the appropriate mathematical and computational background, or the consent of instructor. |
| Catalog Description: |
Experimental methods in mechanics. Includes measurement techniques, instrumentation, data acquisition, signal processing, and linear and digital electronics. |
| Textbooks: |
Philip Bevington, D. Keith Robinson, Data Reduction and Error Analysis for the Physical Science, 3rd Edition, McGraw-Hill, 2002. |
| Instructors: |
Ari Glezer |
| References: |
P. R. Bevington & D. K. Robinson, Data Reduction and Error Analysis for the Physical Sciences, Mc-Graw-Hill, Inc., 1992.
R. J. Goldstein, Fluid Mechanics Measurements, Taylor & Francis, Inc., 1996. |
| Goals: |
This course is intended to provide the student with a broad background in the fundamentals of experimental data acquisition and analysis along with an introduction to a few specific measurement techniques. After this course, the student should have a system-level perspective on analyzing, processing and evaluating the data obtained from experimental measurements. |
| Topics: |
- Uncertainty Analysis
- Error propagation, fractional uncertainty, probability distribution functions, statistics of sample mean, and the central-limit theorem.
- Time-Series Analysis
- Zero-crossings statistics, autocorrelations and cross correlations, power spectrum, digitizing of continuous data, and digital filtering.
- Signal Conditioning
- Linear circuits, digital circuits, and electronic noise.
- Data Acquisition
- Sampling theory, FFT, A/D, and D/A.
- Special Topics and Projects
- Velocimetry, anemometry, thermometry, and imaging.
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