Simulations for evaluation of kinetic methods in differential scanning calorimetry. Part 1. Application to single-peak methods: Freeman-Carroll, Ellerstein, Achar-Brindley-Sharp and multiple linear regression methods

Is the Friedman Method Applicable to Transformations with Temperature Dependent Reaction Heat?

“…These simulations consisted in the computation of the temperature (Ti), the heat flux (Pi), and the conversion degree (ai) using a procedure already described. [25] The following parameters were used: starting temperature of the simulations T 0 ¼ À20 8C, sampling rate Sr ¼ 1 s, heating rates b ¼ 2, 5, and 10 K Á min…”

Deconvolution of calorimeter response from electrical signals for extracting kinetic data

“…A homemade kinetic software regularly upgraded was used to compute the kinetic parameters from MFit-DIF, MFit-INT, MFree-DIF and MFree-INT methods [21][22][23][24][25].…”

“…In this study, we propose to use the differentiation method from a simulated heat flow corresponding to a chemical reaction whose kinetic model is f(˛) = ˛(1 − ˛). This model corresponds to an autocatalytic reaction which differs of the typical simulated isothermal curves [23]. We propose to compare the …”

Computational neural networks for mapping calorimetric data: Application of feed-forward neural networks to kinetic parameters determination and signals filtering

“…For this, simulations have been proposed in previous studies in order to evaluate the precision of a set of kinetic methods frequently used [6] and their robustness in the presence of noise [7]. In these simulations, various methods have been checked for kinetic parameters close to those experimentally obtained for the kind of reaction (polymerisation) studied in our laboratory [4].…”

“…Our previous studies [3,4,6,7] were based on the minimisation of a criterion called LSM that expresses the accuracy of the fit between experimental (i.e. a thermogram of a transformation) and calculated data (i.e.…”