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Estimation of breakup and aggregation coefficients in flocculation by a new adjustment algorithm

✍ Scribed by E. Ayesa; M.T. Margeli; J. Flórez; J.L. García-Heras

Publisher
Elsevier Science
Year
1991
Tongue
English
Weight
908 KB
Volume
46
Category
Article
ISSN
0009-2509

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✦ Synopsis

This paper presents a new adjustment algorithm for parameter estimation based on a modified least-squares method. This algorithm has been developed to estimate the floe aggregation rate coefficient (KA) and the floe breakup coefficient (KB) of a batch flocculation process according to the model proposed by Bratby. Numerical simulations show the good performance characteristics of the new algorithm. When applied to experimental data, the algorithm allows one to see the poor definition of the flocculation model, which presents a dependence of the term KJK, on the mean velocity gradient. By considering this dependence, also observed by other authors, this paper suggests some modifications in the original flocculation model that improve greatly the adjustment of the model to the experimental results. The new adjustment algorithm permits one to study further modifications in the flocculation model in a simple manner and could be a useful tool to improve the conceptual mode1 of this type of processes. INTRODUCXION

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