Automated Author Profile

Porombka, Paul

0000-0002-7494-7948

Current S-Index

4.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.5

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

61.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Local void fraction and pressure drop data for horizontal annular flow through orifice

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
0 Citations0 Mentions62% FAIR1.5 Dataset Index
10.14278/rodare.362June 2020

Local void fraction and pressure drop data for horizontal annular flow through orifice

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
0 Citations0 Mentions62% FAIR1.5 Dataset Index
10.14278/rodare.361June 2020

Local void fraction and pressure drop data for horizontal annular flow through orifice

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
0 Citations0 Mentions62% FAIR1.3 Dataset Index
10.14278/rodare.363June 2020