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Although there have been extensive investigations characterizing cavitationphenomenon in fuel injectors, much is still unknown about the mechanismsdriving cavitation-induced erosion, and how these complicated physics should berepresented in a model. In lieu of computationally expensive fluid-structureinteraction modeling, the Eulerian mixture modeling approach has been acceptedas an efficient means of capturing cavitation phenomena. However, there remainsa need to link the erosive potential of cloud collapse events with thesubsequent material deformation and damage of neighboring surfaces. Even thoughseveral cavitation erosion indices have been proposed in the literature, nosingle metric has been identified as universally applicable across allinjector-relevant conditions. The objective of this work is to identifyparameters that characterize the erosive potential of cavitation cloud collapsemechanisms that are likely to occur within injector orifices. While a commonlyemployed cavitation erosion metric, namely the maximum local pressure, wasfound to provide indications of potential sites for pitting and materialrupture from single impact events, no additional information could bedetermined regarding the material erosion process. To improve representation ofthe incubation period within the cavitation erosion process, a new metric wasderived based on cumulative energy absorbed by the solid material from repeatedhydrodynamic impacts. Through evaluation of predicted cavitation cloud collapseevents in a channel geometry against available experimental data, the storedenergy metric yielded insight into the erosive potential of recorded impactevents. The stored energy metric provided a means to accurately predict theinfluence of flow conditions on the incubation period before material erosion....

Evaluation of a new cavitation erosion metric based on fluid-solid energy transfer in channel flow simulations