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Model parameters were obtained by a fitting procedure to experimental data (Tables 1, 2 ).
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Finally, the procedure is applied to experimental data to obtain relevant stiffness, viscous and viscoelastic parameters associated with the system.
This procedure was applied to experimental data obtained in a small scale bubble column using both tap water and a coalescence-inhibiting liquid mixture that represents the coalescence behavior of biological media.
Based on this method the experimental loading intervals for long-time experiments can be shortened in time and the parameter identification procedure is now referred to experimental data of tests under short- and long-time loads without separating the parameters due to these different time scales.
The system identification procedures are also applied to experimental data from a foam mass system.
A CI model has benefits over the KM and LB models, which results in shorter measurement procedures and better fitting to experimental data, rather than the calculation of different coefficients.
In this review, we introduce these methods and outline a procedure for applying this analysis directly to experimental data.
To verify the formulations and solution procedures, some DSC results are compared to experimental data or results obtained by using the finite element method.
However, the parameters of those dependences have a form different with respect to the previous expectations, leading to a modification of the procedure to interpret experimental data.
Finally, the procedure is employed to process experimental data from an inverted-U-type section model, obtained from wind tunnel tests.
In any case, it is clear that it is better to estimate the averaged ADC in a tissue by using a range of b-values (from four to eight) and a fitting procedure of experimental data to relation (3) rather than estimate it using a single b-value.
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CEO of Professional Science Editing for Scientists @ prosciediting.com