By N. Meyendorf, D. Eylon, G. S. Frankel (auth.), Professor Norbert G. H. Meyendorf, Professor Peter B. Nagy, Professor Stanislav I. Rokhlin (eds.)
With an emphasis on plane fabrics, this booklet describes suggestions for the cloth characterization to notice and quantify degradation techniques reminiscent of corrosion and fatigue. It introduces readers to those thoughts according to x-ray, ultrasonic, optical and thermal rules and demonstrates the potential for the concepts for a wide selection of purposes touching on airplane fabrics, specifically aluminum and titanium alloys. the benefits and drawbacks of varied innovations are evaluated. An introductory bankruptcy describes the common degradation mechanisms that has to be thought of and the microstructure positive aspects that experience to be detected via NDE equipment. ultimately, a few methods for making lifetime predictions are mentioned. it really is appropriate as a textbook in specific education classes in complex NDE and plane fabrics characterization.
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Extra info for Nondestructive Materials Characterization: With Applications to Aerospace Materials
Nondestr Test Eval 7:83-91 36. Carreon H, Nagy PB, Blodgett MP (2002) Research in Nondestructive Evaluation 14:59-80 37. ) Fretting Fatigue. ESIS 18 Mech Eng Pub London, pp. 497-512 38. Vinssbo 0, Soderberg S (1988) On Fretting Maps. Wear 126:131-147 39. Zhou ZR, Sauger E,. Liu JJ, Vincent L (1997) Nucleation and early growth of tribologically transformed structure (TTS) induced by fretting. Wear 212:50-58 40. Antoniou RA, Radtke TC (1997) Mechanisms of fretting-fatigue of titanium alloys. Mat Sci Eng A237:229-240 41.
For example, in Fig. 26 ..... 0 g,2 004 010.. iI Spatlai Frequency (11m'" Fig. 6. (a) Data taken from the slip and non-contact regions from two sides of a specimen; (b) PSD values from the two sides normalized with respect to the non-contacted surface data five areas were analyzed. The first two (on the left) were in a non-contact region of a fretted specimen. The slip region started with the middle section and continues towards the stick region to the right. A large increase is seen at the front of the slip region with a gradual decrease towards the stick region.
The PSD-spatial frequency plot is generated by a Fourier Transform of the three-dimensional height data. This effectively transforms the data from the space domain to the frequency domain, which enables an easier evaluation of the inherent frequencies of the data set. The maximum PSD occurs as the spatial frequency approaches zero, which represents a perfectly flat, smooth surface. The higher range of spatial frequencies corresponds to small, c10sely spaced asperities. This PSD plot represents a spatial frequency spectrum over the entire field of view of the specimen.