Parameter Estimation for Incompressible Cake Filtration: Advantages of a Modified Fitting Method |
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Authors: | Michael Kuhn Philip Pergam Heiko Briesen |
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Affiliation: | Technical University of Munich, Chair of Process Systems Engineering, Gregor-Mendel-Strasse 4, 85354 Freising, Germany |
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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. |
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Keywords: | Cake filtration Filter cake resistance Filter medium resistance Mathematical modeling Parameter estimation |
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