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Optimal Design of Experiments for Parameter Identification of Ceramic Porous Membranes

✍ Scribed by F. Zhang; M. Mangold; A. Kienle

Publisher
John Wiley and Sons
Year
2009
Tongue
English
Weight
248 KB
Volume
32
Category
Article
ISSN
0930-7516

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✦ Synopsis

Abstract

Six different experimental schemes for mass transfer through porous membranes are compared for the efficiency with respect to parameter identification, namely dynamic single‐gas permeation, dynamic multi‐gas permeation, steady‐state single‐gas permeation, steady‐state multi‐gas permeation, transient diffusion, and isobaric diffusion experiments. The comparison is made under optimal experimental conditions, which are obtained from optimal experimental design (OED) based on the Fisher information matrix. The covariance matrix of the parameters for each experimental scheme is estimated by the Cramér‐Rao lower bound. To solve the optimization problems, a hybrid optimizer which combines a genetic algorithm and a gradient‐based algorithm is used.

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