An Erosion Aggressiveness Index (EAI) Based on Pressure Load Estimation Due to Bubble Collapse in Cavitating Flows Within the RANS Solvers

Bergeles, G., Koukouvinis, P., Gavaises, M., Li, J. & Wang, L. (2015). An Erosion Aggressiveness Index (EAI) Based on Pressure Load Estimation Due to Bubble Collapse in Cavitating Flows Within the RANS Solvers. SAE International Journal of Engines, 8(5), pp. 2276-2284. doi: 10.4271/2015-24-2465

[img]
Preview
Text - Accepted Version
Download (558kB) | Preview

Abstract

Despite numerous research efforts, there is no reliable and widely accepted tool for the prediction of erosion prone material surfaces due to collapse of cavitation bubbles. In the present paper an Erosion Aggressiveness Index (EAI) is proposed, based on the pressure loads which develop on the material surface and the material yield stress. EAI depends on parameters of the liquid quality and includes the fourth power of the maximum bubble radius and the bubble size number density distribution. Both the newly proposed EAI and the Cavitation Aggressiveness Index (CAI), which has been previously proposed by the authors based on the total derivative of pressure at locations of bubble collapse (DP/Dt>0, Dα/Dt<0), are computed for a cavitating flow orifice, for which experimental and numerical results on material erosion have been published. The predicted surface area prone to cavitation damage, as shown by the CAI and EAI indexes, is correlated with the experiments. EAI predictions indicate the minimum bubble size above which erosion starts as also its location along the injector wall. The proposed methodology is also tested in an actual Diesel injector, operating under realistic injection cycles and pressure levels for which erosion data are available.

Item Type: Article
Additional Information: Reprinted with Permission from SAE International.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: School of Engineering & Mathematical Sciences > Engineering
URI: http://openaccess.city.ac.uk/id/eprint/13563

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics