Download PDF by Ki-Han Kim, Georges Chahine, Jean-Pierre Franc, Ayat Karimi: Advanced Experimental and Numerical Techniques for

By Ki-Han Kim, Georges Chahine, Jean-Pierre Franc, Ayat Karimi

ISBN-10: 9401785384

ISBN-13: 9789401785389

ISBN-10: 9401785392

ISBN-13: 9789401785396

This ebook offers a finished remedy of the cavitation erosion phenomenon and cutting-edge examine within the box. it's divided into components. half 1 comprises seven chapters, providing a variety of computational and experimental techniques to cavitation erosion. It encompasses a basic creation to cavitation and cavitation erosion a close description of amenities and size ideas popular in cavitation erosion experiences, an in depth presentation of assorted phases of cavitation harm (including incubation and mass loss) and insights into the contribution of computational easy methods to the research of either fluid and fabric habit. The proposed technique relies on an in depth description of effect lots generated through collapsing cavitation bubbles and a actual research of the cloth reaction to those quite a bit. half 2 is dedicated to a variety of 9 papers provided on the overseas Workshop on complicated Experimental and Numerical thoughts for Cavitation Erosion Prediction (Grenoble, France, 1-2 March 2011) representing the leading edge of analysis on cavitation erosion. cutting edge numerical and experimental investigations illustrate the main complex breakthroughs in cavitation erosion examine.

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Additional info for Advanced Experimental and Numerical Techniques for Cavitation Erosion Prediction

Example text

9 depicts examples of the influence of strain rate on the flow stress of different alloys. The flow stress is defined as the instantaneous stress to sustain plastic deformation at a particular strain. 2 % corresponds to the yield stress, and at the fracture limit refers to the rupture stress. As shown in Fig. 9, two regions of sensitivity of the stress to the strain rate can be distinguished over a wide range of strain rates: • In the range, e_ \103 sÀ1 , the strain rate has only a slight influence on the flow stress and the dependency can be assumed to be logarithmic.

The red contours are the cross-sections of the surface at a given cutoff depth. 15 lm. 9, exposure time: 2 min, image size: 4 mm 9 2 mm if the amplitude of the impulsive load exceeds some material threshold. The conventional yield stress is often considered as an appropriate threshold since, by definition, if the applied stress is smaller than the yield stress the material will return elastically to its original non-deformed state after unloading. Even though pitting test results depend upon the material, pitting tests conducted on different materials exhibit similar trends [5] discussed in the following sections.

The vertical axis is the pitting rate that is the number of pits per unit exposure time and unit surface area. By differentiating a cumulative histogram relative to the pit diameter, the probability density function is obtained and gives the distribution of pits with respect to diameter. As shown by the linear fit in the log-lin representation in Fig. 3, cumulative pitting rates can be approximated by an exponential function in a wide range of diameters. If needed, the basic exponential law can be refined in order to better account for pits of large size whose distribution may depart from the exponential law (see Sect.

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Advanced Experimental and Numerical Techniques for Cavitation Erosion Prediction by Ki-Han Kim, Georges Chahine, Jean-Pierre Franc, Ayat Karimi


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