Abstract
A new method for estimating model parameters from pulse chromatography experiments was developed. Discrete and fast Fourier transforms were employed to analyze the discrete experimental data acquired with a computer-automated system. The Kubin-Kucera model was used to describe dispersion and intraparticle diffusion in a single pellet string reactor and the model parameters were obtained by solving a minimization problem in the Fourier domain. Results from effective diffusivity measurements are presented and the advantages of the new method are discussed.
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