Automated Author ProfilePorombka, Paul
0000-0002-7494-7948
Porombka, Paul
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.4 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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.
Authors
- Porombka, Paul ;
- Boden, Stephan ;
- Lucas, Dirk ;
- Hampel, Uwe
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.
Authors
- Porombka, Paul ;
- Boden, Stephan ;
- Lucas, Dirk ;
- Hampel, Uwe
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.
Authors
- Porombka, Paul ;
- Boden, Stephan ;
- Lucas, Dirk ;
- Hampel, Uwe