Get Advanced Experimental and Numerical Techniques for PDF

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

ISBN-10: 9401785384

ISBN-13: 9789401785389

ISBN-10: 9401785392

ISBN-13: 9789401785396

This e-book offers a entire therapy of the cavitation erosion phenomenon and state of the art learn within the box. it really is divided into elements. half 1 includes seven chapters, delivering a variety of computational and experimental techniques to cavitation erosion. It incorporates a basic creation to cavitation and cavitation erosion a close description of amenities and size strategies general in cavitation erosion reports, an in depth presentation of varied phases of cavitation harm (including incubation and mass loss) and insights into the contribution of computational the right way to the research of either fluid and fabric habit. The proposed procedure is predicated on a close description of influence a lot generated by way of collapsing cavitation bubbles and a actual research of the cloth reaction to those rather a lot. half 2 is dedicated to a variety of 9 papers offered on the overseas Workshop on complex Experimental and Numerical recommendations for Cavitation Erosion Prediction (Grenoble, France, 1-2 March 2011) representing the leading edge of study on cavitation erosion. cutting edge numerical and experimental investigations illustrate the main complicated breakthroughs in cavitation erosion learn.

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

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From Eq. 3), we get: À db 4 2 À2D=d ¼ D e : dD d3 s ð3:4Þ This probability density function gives the contribution of pits to the covered surface as a function of their diameter. As shown in Fig. 4, the probability density function exhibits a maximum for a given diameter. It can easily be shown by differentiating Eq. 4) that the maximum occurs for a pit diameter equal to d. Thus, the parameter d is actually the diameter of the pits which contribute most to the coverage of the surface. The contribution of much smaller and much larger pits is weaker.

In hydrodynamic cavitation, erosion is strongly dependent upon the liquid velocity. The impulsive loads can be measured or estimated using direct and indirect methods, including pressure sensors, pitting and nano-indentation testing methods (using the material itself as a sensor) and a combined computational and experimental approach for larger-size bubble dynamics utilizing scaling laws. Cavitation erosion occurs in various stages, starting from an initial incubation period where the material surface undergoes plastic deformation, progressively moving towards material failure and progressive weight loss due to repeated cavitation impact loads.

J Mar Sci Technol 2:233–244 27. Okada T, Hammitt FG (1981) Cavitation erosion in vibratory and venturi facilities. Wear 69(1):55–69 28. Steller J, Krella A, Koronowicz J, Janicki W (2005) Towards quantitative assessment of material resistance to cavitation erosion. Wear 258(1–4):604–613. 2004. 015 29. Krella A (2011) An experimental parameter of cavitation erosion resistance for tin coatings. Wear 270(3–4):252–257. 065 30. Krella A (2005) Influence of cavitation intensity on X6CrNiTi18-10 stainless steel performance in the incubation period.

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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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