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Towards numerical prediction of cavitation erosion

Abstract : This paper is intended to provide a potential basis for a numerical prediction of cavitation erosion damage. The proposed method can be divided into two steps. The first step consists in determining the loading conditions due to cavitation bubble collapses. It is shown that individual pits observed on highly polished metallic samples exposed to cavitation for a relatively small time can be considered as the signature of bubble collapse. By combining pitting tests with an inverse finite-element modelling (FEM) of the material response to a representative impact load, loading conditions can be derived for each individual bubble collapse in terms of stress amplitude (in gigapascals) and radial extent (in micrometres). This step requires characterizing as accurately as possible the properties of the material exposed to cavitation. This characterization should include the effect of strain rate, which is known to be high in cavitation erosion (typically of the order of several thousands s−1). Nanoindentation techniques as well as compressive tests at high strain rate using, for example, a split Hopkinson pressure bar test system may be used. The second step consists in developing an FEM approach to simulate the material response to the repetitive impact loads determined in step 1. This includes a detailed analysis of the hardening process (isotropic versus kinematic) in order to properly account for fatigue as well as the development of a suitable model of material damage and failure to account for mass loss. Although the whole method is not yet fully operational, promising results are presented that show that such a numerical method might be, in the long term, an alternative to correlative techniques used so far for cavitation erosion prediction.
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Contributor : Jean-Pierre Franc <>
Submitted on : Monday, August 31, 2015 - 9:05:34 AM
Last modification on : Thursday, November 19, 2020 - 3:54:18 PM

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Marc C. Fivel, Jean-Pierre Franc, Samir Chandra Roy. Towards numerical prediction of cavitation erosion. Interface Focus, 2015, 5 (5), pp.20150013. ⟨10.1098/rsfs.2015.0013⟩. ⟨hal-01188508⟩



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