Dear CADET community,
I am trying to use Cadet-Match to perform parameter estimations on my experiment data.
The experiment is set with a column length of 0.18m, a superficial velocity of 2.7m/h and a constant injection concentration of 4.762g/L. I have attached my experiment data here:
u=2.7.csv|attachment (30.3 KB)
For Cadet-match, I have constructed a LRM (Lumped kinetic model without pores) with langmuir binding, with converting the superficial velocity to interstitial velocity using u = v/e. The parameters required to be estimated are: col_dispersion, col_porosity, ka, kd and qmax
After following the steps shown in the tutorial, I started the simulation and got the following error message:
2023-04-10 15:55:56,941 loggerwriter.py write 10 boolean index did not match indexed array along dimension 1; dimension is 2 but corresponding boolean dimension is 5
I have attached the jupyter notebook here. Would you please share some insights about what I have done incorrectly?
Cadet match on experiment result.ipynb (29.2 KB)
In addition I have the following questions:
- The parameter values I set in the reference models are the initial values for Cadet-match. Will set different initial values result in different estimations?
- For my experiment data, would you please share some insights about how to transform ka and kd? Should I use keq?
- For the feature part, since I could not find the complete list for problem names, would you please suggest the appropriate settings for my experiment data?
- Let’s say if changing the feature type results in different estimations, like the scenario in Tutorial8_02_Exercise, changing “SSE” to “Shape” returns different values for ka, kd and qmax, which one should be the correct estimation?
Thank you for taking time to consider my problem and questions! Any help or suggestion is deeply appreciated.