title: Novel experimental technique for 3D investigation of high-speed cavitating diesel fuel flows by X-ray micro computed tomography.
abstract: An experimental technique for the estimation of the temporal-averaged vapour volume fraction within high-speed cavitating flow orifices is presented. The scientific instrument is designed to employ X-ray micro computed tomography (microCT) as a quantitative 3D measuring technique applied to custom designed, large-scale, orifice-type flow channels made from Polyether-ether-ketone (PEEK). The attenuation of the ionising electromagnetic radiation by the fluid under examination depends on its local density; the transmitted radiation through the cavitation volume is compared to the incident radiation, and combination of radiographies from sufficient number of angles leads to the reconstruction of attenuation coefficients versus the spatial position. This results to a 3D volume fraction distribution measurement of the developing multiphase flow. The experimental results obtained are compared against the high speed shadowgraph visualisation images obtained in an optically transparent nozzle with identical injection geometry; comparison between the temporal mean image and the microCT reconstruction shows excellent agreement. At the same time, the real 3D internal channel geometry (possibly eroded) has been measured and compared to the nominal manufacturing CAD drawing of the test nozzle.
authors.affiliation: School of Mathematics Computer Science and Engineering, City University London, London, United Kingdom.
authors.forename: M
authors.initials: M
authors.lastname: Lorenzi
authors.affiliation: School of Mathematics Computer Science and Engineering, City University London, London, United Kingdom.
authors.forename: N
authors.initials: N
authors.lastname: Mitroglou
authors.affiliation: Department of Engineering and Applied Sciences, University of Bergamo, Bergamo, Italy.
authors.forename: M
authors.identifier: 0000000346523264
authors.initials: M
authors.lastname: Santini
authors.affiliation: School of Mathematics Computer Science and Engineering, City University London, London, United Kingdom.
authors.forename: M
authors.initials: M
authors.lastname: Gavaises