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Parameter Estimation for Incompressible Cake Filtration: Advantages of a Modified Fitting Method
Author(s) -
Kuhn Michael,
Pergam Philip,
Briesen Heiko
Publication year - 2020
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.201900511
Subject(s) - filtration (mathematics) , compressibility , nonlinear system , filter (signal processing) , mathematics , estimation theory , mathematical optimization , computer science , algorithm , statistics , mechanics , physics , quantum mechanics , computer vision
Abstract There is a widely used linear strategy to determine the parameters specific cake resistance and filter medium resistance in incompressible cake filtration. In this article, it is intended to demonstrate that this strategy has some disadvantages and should be replaced by an alternative nonlinear approach which yields more exact results. Even though the gains in precision are small for most cases, the nonlinear strategy is favored because it involves no extra effort and is grounded in the same physical theory as the original approach. This claim is based on a broad simulation study using noisy data with known parameter values to compare both fitting strategies and judge their accuracies.