pipe-jet-breakup-data

Compilation of jet breakup data where the nozzle is a long pipe.

Feel free to file issues, send in pull requests, or contact me with any improvements or comments. Email address:

Requirements

• Python 2
• numpy
• scipy
• matplotlib
• GitPython
• Pandas

How to use

Assuming you are using Linux:

Clone and navigate to the repository in a terminal. Then cd scripts/. Initially the data has not been compiled and lives in CSV spreadsheets in the data/ directory. You can compile the data into the outputs/data/ directory (which will be automatically created if it does not exist) by running the Bash script compile_all.sh which will run all of the jet breakup data processing Python scripts available. This takes approximately 3 minutes on my laptop.

The scripts then read the pipe-jet-breakup-data.pickle file to produce plots and perform other analyses. These scripts will create files in the outputs/ directory. You can write your own script to do your own analysis too.

Statistics

• 27 studies
• 1350 data points
• liquid Weber number range: 2.0e0 to 1.9e6
• liquid Reynolds number range: 1.5e1 to 1.0e6
• turbulence intensity range: 4.4% to 12.7%
• liquid-to-gas density ratio range: 1.9e1 to 1.4e5
• nozzle length-to-diameter ratio range: 16.8 to 2210

Data compilation philosophy

Trettel, B. (2019, March 22). Improving the validation of turbulent jet breakup models. https://doi.org/10.31224/osf.io/k2fnm

Studies using this data compilation

Trettel, B. (2019, November 18). Reevaluating the jet breakup regime diagram. https://doi.org/10.31224/osf.io/nqhs5

Trettel, B. (2018, March 6). Conditional damped random surface velocity model of turbulent jet breakup. https://doi.org/10.31224/osf.io/35u7g