By Yung-Li Lee, Jwo Pan, Richard Hathaway, Mark Barkey
Fatigue trying out and research: thought and Practice provides the newest, confirmed suggestions for fatigue facts acquisition, information research, and try out making plans and perform. extra particularly, it covers the main complete ways to trap the part load, to signify the scatter of product fatigue resistance and loading, to accomplish the fatigue harm evaluate of a product, and to strengthen an sped up lifestyles try out plan for reliability objective demonstration. This booklet is most dear for try and layout engineers within the flooring automobile industry.
Fatigue checking out and Analysis introduces the ways to account for variability of quite a bit and statistical fatigue homes which are invaluable for additional probabilistic fatigue research. The textual content accommodates and demonstrates ways that account for randomness of loading and fabrics, and covers the functions and demonstrations of either linear and double-linear harm principles. The reader will reap the benefits of summaries of load transducer designs and information acquisition thoughts, purposes of either linear and non-linear harm ideas and strategies, and methods to figure out the statistical fatigue houses for the nominal stress-life and the neighborhood strain-life methods.
- Covers the precious suggestions for part load size and information acquisition, fatigue homes selection, fatigue research, and sped up existence try standards improvement, and, most significantly, try out plans for reliability demonstrations
- Written from a realistic standpoint, according to the authors' commercial and educational adventure in automobile engineering design
- Extensive sensible examples are used to demonstrate the most ideas in all chapters
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Additional info for Fatigue Testing and Analysis
2 POTENTIAL SOURCES OF ERROR IN MATRIX TECHNIQUES Many experimental and analytical techniques have inherent errors; the matrix techniques are no exception. Knowing the potential source of errors is paramount to understanding the quality of the obtained data. The sources of error in the matrix methods include the following: (1) assumption of a linear elastic relationship between strains and loads, (2) statistically based formula dependent on the calibrated sample size, (3) a calibration loading frequency that is different from that of the measured system, and (4) a calibrated Transducer Placement and Identification of Regions of Interest 29 boundary condition different from the actual boundary conditions that exist in the real application.
Otherwise, there are many possible input frequencies (the aliases), all of which can produce the same data points. The anti-aliasing filters theoretically should remove all but the wanted input frequencies. Aliasing error results when the digitizing sampling rate is too low. As the input signal frequency nears the digitizing frequency, some components of the signal can be lost. 47). Because the data is no longer uniquely related to the analog signal, a unique reconstruction is impossible. 48 shows an example of an aliasing error in the time domain.
The output of the sample-and-hold is allowed to change only at periodic intervals and maintain the instantaneous value at which the input signal was sampled. Changes in the input signal that occur between these sampling times are ignored. 45. 46). Selection of the proper A–D converter aids in data resolution. An 8-bit converter has 28 bits of resolution, or 255 amplitude levels. A 12-bit converter has 212 bits of resolution, or 4095 amplitude levels. A 16-bit converter has 216 bits of resolution, or 65,535 amplitude levels.