Characterization of bubble dynamics in the nozzle flow of aviation fuels via computer vision tools

Bubble breakup and associated gaseous cavitation inception triggered by a single bubble injected into the flow of aviation fuel flowing in converging–diverging nozzle are characterized employing advanced computer vision (CV) algorithms. The obtained statistics from CV blob detection analysis provide unprecedented quantitative data non-intrusive imaging techniques reveal valuable insights regarding kinematics spatial–temporal evolution, breakup, mechanisms fuels. A distinct constant velocity before its group resulting void cloud after observed despite continuous streamwise variation fluid nozzle. It is found that though initial size plays an essential role fraction it does not play location nor terminal breakup. We define unique dimensionless number, σb, able to distinguish between dynamic parameters for different fuels regimes. Linear dependence σb. results shed some light on kinematic evolution nonspherical cavities will prove useful modeling complex mechanisms.