Synthetic data set for 3D tracking of bubbles in multi-view measurements.

Synthetic data set for 3D tracking of bubbles in multi-view measurements.

This dataset contains the annotated training images and synthetic test images for the publication "Bubble identification from images with machine learning methods".

This dataset contains the annotated training images and synthetic test images for the publication "Bubble identification from images with machine learning methods".

This dataset contains the annotated training images and synthetic test images for the publication "Bubble identification from images with machine learning methods".

Zip-file that contains the raw images on a study on bubble aspect ratio under swarm condition. Further information can be found in the respective paper.

Zip-file that contains the raw images on a study on bubble aspect ratio under swarm condition. Further information can be found in the respective paper.

This dataset combines multiple measurements form air-water horizontal annular flow experiments in a pipe (case A) and a pipe with circular orifice with ({d^2 / D^2} = 0.6) (case B). Measurements where taken at superficial Reynolds numbers of Re=25000 for the gas phase and Re =4090 for the liquid phase. The following data are included for each case: linear pressure drop between two points (case A), four points (case B) measured with split-range differential pressure transducers at 5Hz time-averaged local liquid volume fraction distribution in cylindrical and Cartesian coordinates reconstructed from X-ray microtomography projections reconstructed pipe axis coordinates and pipe radius Python code to calculate secondary validation parameters (e.g. film thickness distribution) from primary data The detailed 3D data is intended for validation of computational fluid dynamics codes based on phase-averaged variables such as the Euler-Euler approach.

This dataset combines multiple measurements form air-water horizontal annular flow experiments in a pipe (case A) and a pipe with circular orifice with (d^2 / D^2 = 0.6) (case B). Measurements where taken at superficial Reynolds numbers of Re=25000 for the gas phase and Re =4090 for the liquid phase. The following data are included for each case: linear pressure drop between two points (case A), four points (case B) measured with split-range differential pressure transducers at 5Hz time-averaged local liquid volume fraction distribution in cylindrical and Cartesian coordinates reconstructed from X-ray microtomography projections reconstructed pipe axis coordinates and pipe radius Python code to calculate secondary validation parameters (e.g. film thickness distribution) from primary data The detailed 3D data is intended for validation of computational fluid dynamics codes based on phase-averaged variables such as the Euler-Euler approach.

This dataset combines multiple measurements form air-water horizontal annular flow experiments in a pipe (case A) and a pipe with circular orifice with (d^2 / D^2 = 0.6) (case B). Measurements where taken at superficial Reynolds numbers of Re=25000 for the gas phase and Re =4090 for the liquid phase. The following data are included for each case: linear pressure drop between two points (case A), four points (case B) measured with split-range differential pressure transducers at 5Hz time-averaged local liquid volume fraction distribution in cylindrical and Cartesian coordinates reconstructed from X-ray microtomography projections reconstructed pipe axis coordinates and pipe radius Python code to calculate secondary validation parameters (e.g. film thickness distribution) from primary data The detailed 3D data is intended for validation of computational fluid dynamics codes based on phase-averaged variables such as the Euler-Euler approach.