PydTfinder

::A tool to find the phase equilibrium temperature at a given pressure with a given ΔT value::

PydTfinder is a cutting-edge and user-friendly tool that makes it easy to pinpoint the precise temperature and pressure points where the phase equilibrium shifting occurs in your system. If you're working with Hydrate-Liquid-Vapor (HLV) equilibrium systems, PydTfinder is the perfect tool to help you find the exact equilibrium point of interest you need. By utilizing a temperature difference input and a highly accurate polynomial regression algorithm, PydTfinder is able to identify the precise points of phase transition with pinpoint accuracy. This powerful tool also offers a wide range of customization options, including manual input, csv file input, output type, degree of regression, number of points displayed in the plot, and directory location of the csv file, allowing you to tailor the tool to your specific needs. For researchers, engineers, and scientists working in the field of thermodynamics, phase equilibrium, and phase transition, PydTfinder is an essential tool that will save you time and increase your productivity.

Changing the number of points	Changing the delta T values	Changing the degree of regression

Features

• Plot the phase equilibrium data and the regression line
• Also plot the parallel line according to the temperature difference (ΔT value)
• Input options include manual input or input from a csv file
• Allows for adjusting the degree of the regression (the higher the degree, the more accurate the regression) and the number of points displayed in the plot
• Output options include png, pdf, svg, and eps file types

Dependencies

• pandas
• argparse
• pyfiglet
• tabulate
• matplotlib
• numpy
• sklearn

Installation

pip install pydtfinder

or

pip3 install pydtfinder

Uninstallation

pip uninstall pydtfinder

or

pip3 uninstall pydtfinder

Usage

The tool can be run using the command line

pydtfinder -h

Optional arguments

Argument	Short form	Default	Description
--input_type	-it	manual	The type of P, T input. The options are: manual, csv
--delta_t	-dt	5	The temperature difference between the two curves in K
--degree	-g	5	The degree of the regression; the higher the degree, the more accurate the regression
--num_point	-n	10	The number of points that will be expressed in the plot
--output	-o	png	The file type of the output file. The options are: png, pdf, svg, and eps
--directory	-d	"./"	The directory location of the csv file
--legend	-l	"Your Phase EQ input"	The legend title of your Phase EQ input data
--version	-v		Show the version of the tool

Examples

(1) Manual input

PydTfinder can handle the manual input data from user.

Input

pydtfinder -it manual -dt 6.2 -g 3 -n 4 -o png -l "Hydrogen Sulfide (Bond and Russel (1949))"
INFO Please enter the TEMPERATURE values (K) separated by comma: 283.2, 291.2, 299.7, 302.7
INFO Please enter the PRESSURE values (MPa) separated by comma: 0.310, 0.710, 1.496, 2.241

PydTfinder exhibited the below messages and plot.

Output

INFO Please enter the TEMPERATURE values (K) separated by comma: 283.2, 291.2, 299.7, 302.7
INFO Please enter the PRESSURE values (MPa) separated by comma: 0.310, 0.710, 1.496, 2.241
INFO The input temperature values are:  [283.2, 291.2, 299.7, 302.7] [unit: K]
INFO The input pressure values are:  [0.31, 0.71, 1.5, 2.24] [unit: MPa]
INFO Your desired temperature at 0.31 MPa is 277.00 K (T = 283.20 K - ΔT = 6.20 K)
INFO Your desired temperature at 0.95 MPa is 288.50 K (T = 294.70 K - ΔT = 6.20 K)
INFO Your desired temperature at 1.60 MPa is 294.07 K (T = 300.27 K - ΔT = 6.20 K)
INFO Your desired temperature at 2.24 MPa is 296.50 K (T = 302.70 K - ΔT = 6.20 K)


INFO The figure is saved as "PLOT_DeltaT=6.2K_Deg=3_NP=4_Legend="Hydrogen Sulfide (Bond and Russel (1949))".png"

Plot (Manual input)

(2) CSV input

PydTfinder can also handle the .csv file data from user.

Input

pydtfinder -it csv -dt 6.0 -g 4 -n 8 -o pdf -d ./ -l "Adisasmito CO2 (1991)"

PydTfinder exhibited the below messages and plot.

Output

+---------------+-----------------------------+
|   File number | File name                   |
|---------------+-----------------------------|
|             0 | ./Adisasmito CO2 (1991).csv |
+---------------+-----------------------------+
INFO These are the files that are in the folder. Please type the file number that you want to use: 0
INFO The file name that would be utilized is ./Adisasmito CO2 (1991).csv
INFO The input temperature values are:  [274.3, 275.5, 276.8, 277.6, 279.1, 280.6, 281.5, 282.1, 282.9] [unit: K]
INFO The input pressure values are:  [1.42, 1.63, 1.9, 2.11, 2.55, 3.12, 3.51, 3.81, 4.37] [unit: MPa]
INFO Your desired temperature at 1.42 MPa is 268.30 K (T = 274.30 K - ΔT = 6.00 K)
INFO Your desired temperature at 1.84 MPa is 270.53 K (T = 276.53 K - ΔT = 6.00 K)
INFO Your desired temperature at 2.26 MPa is 272.17 K (T = 278.17 K - ΔT = 6.00 K)
INFO Your desired temperature at 2.68 MPa is 273.47 K (T = 279.47 K - ΔT = 6.00 K)
INFO Your desired temperature at 3.11 MPa is 274.57 K (T = 280.57 K - ΔT = 6.00 K)
INFO Your desired temperature at 3.53 MPa is 275.53 K (T = 281.53 K - ΔT = 6.00 K)
INFO Your desired temperature at 3.95 MPa is 276.34 K (T = 282.34 K - ΔT = 6.00 K)
INFO Your desired temperature at 4.37 MPa is 276.90 K (T = 282.90 K - ΔT = 6.00 K)


INFO The figure is saved as "PLOT_DeltaT=6.0K_Deg=4_NP=8_Legend="Adisasmito CO2 (1991)".png"

Plot (CSV input)

Contact

If you have any questions or suggestions, please visit the GitHub repository at https://github.com/wjgoarxiv/pydtfinder for more information.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Pull requests

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

EXTRAS

EXTRA 1: For advanced users

Automate your process!

Get multiple plots at once.

By utilizing the shell script, you can get multiple plots at once. I've prepared the example shell script in the PydTfinder/run_examples/advanced_usage/ folder. Download the automation_script_example.sh. Consecutively, authorize it to be executable by typing the below command in the terminal.

chmod +x automation_script_example.sh

Then, you can run the shell script by typing the below command in the terminal.

./automation_script_example.sh

Automation results

In the demo run, the Patil C3H8 (1987).csv file was used.

Output

You can see that the shell script generated multiple plots at once.

See the generated images in here.

EXTRA 2: How did I make moving gifs?

The recipe I made the moving gifs is:

#!/bin/bash
convert $(ls *.png | sort -V) -delay 1 forward.gif;
gifsicle --unoptimize forward.gif forward.gif "#-0-1" > composition.gif

Before you run that, you will need to type brew install ImageMagick and brew install gifsicle.