Kinetic analysis of Gear Rheometer results

These files can be used to analyse the results of tests on a compounder Gear Rheometer.

Instructions

Insert the directory for the data on your machine in the config_sample.json file and change the name of the file to config.json
Calculate the mean and standard deviation of the torque and temperature data using the 'Calculation_mean_std.ipynb' ipython notebook
Insert the calculated mean and standard deviation in to the joined_curves function in the 'curve_func_2.py' file where indicated
The limits for the parameters can be set using the first function in the 'model_parameters.py' file. The parameters to be varied can also be set here
The fitting routine runs with the 'Fit_parameters_to_multi_files.ipynb' ipython notebook. Simply run the code which outputs a PDF with figures of all the fits and a CSV file with the fitted parameters and other relevant information. The PDF and CSV file names (ie 'all_curves_.pdf' or 'all_parameters_.csv) can be renamed as required

Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
.gitignore		.gitignore
Calculation_mean_std.ipynb		Calculation_mean_std.ipynb
Data_viewer.ipynb		Data_viewer.ipynb
Fit_parameters_to_multi_files.ipynb		Fit_parameters_to_multi_files.ipynb
Model_test.ipynb		Model_test.ipynb
Parameter_compare.ipynb		Parameter_compare.ipynb
README.md		README.md
Species_plot.ipynb		Species_plot.ipynb
config_sample.json		config_sample.json
curve_func_2.py		curve_func_2.py
datahandling.py		datahandling.py
kinetics_eq.py		kinetics_eq.py
model_parameters.py		model_parameters.py
rxn_rates.py		rxn_rates.py
temp_der.py		temp_der.py
visc_torque_eq.py		visc_torque_eq.py