Fixed point convergence and acceleration for steady state population balance modelling of precipitation processes: Application to neodymium oxalate
Creators
- 1. Univ Lyon, Universite Claude Bernard Lyon 1, CNRS, LAGEPP UMR 5007, 43 boulevard du 11 novembre 1918, F-69100, Villeurbanne, (France)
- 2. CEA, DES, ISEC, DEN, DMRC, Universite Montpellier, Marcoule, (France)
- 3. Univ Lyon, Universite Claude Bernard Lyon 1, CNRS, LAGEPP UMR 5007, 43 boulevard du 11 novembre 1918, F-69100, Villeurbanne (France)
- 4. CEA, DES, IRESNE, DEC, SESC, F-13108 Saint-Paul Lez Durance, (France)
- 5. a CEA, DES, ISEC, DEN, DMRC, Universite Montpellier, Marcoule (France)
Description
The present work focuses on the development of a performing numerical methodology to solve the steady state Population Balance Equation (PBE) including nucleation, independent size growth and loose agglomeration as crystallization mechanisms. The methodology is based on the solution of two PBEs: one for the isolated crystallites and one describing the loose agglomerates formation. Both are solved by a discretization method and only the last one is reformulated as a fixed point problem. The algorithm solving PBE for agglomeration includes the crossed-secant algorithm as a fixed point acceleration method. The numerical PBE solution method is first validated by comparison to analytical solutions and then applied to the neodymium oxalate precipitation in order to compare to experimental results in a wide range of operating conditions. The methodology is tested under highly restrictive numerical conditions: narrow tolerances, a large amount of points in the discretization scheme and a zero vector as initial condition. The crossed-secant method demonstrates to improve the robustness of the standard fixed point iterations by ensuring the convergence of the agglomerates PBE when penalizing conditions are applied and by reducing the number of iterations otherwise. In all cases, the developed methodology predicts accurately the crystal size distribution under the experimental uncertainty in a reasonable computation time and number of iterations. (authors)
Availability note (English)
Available from doi: http://dx.doi.org/10.1016/j.cherd.2021.11.030Additional details
Identifiers
Publishing Information
- Journal Title
- Chemical Engineering Research and Design
- Journal Volume
- 177
- Journal Page Range
- p. 767-777
- ISSN
- 0263-8762
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- France
- INIS RN
- 56004802
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S37: INORGANIC, ORGANIC, PHYSICAL AND ANALYTICAL CHEMISTRY;
- Descriptors DEI
- ACCELERATION; AGGLOMERATION; ALGORITHMS; ANALYTICAL SOLUTION; COMPARATIVE EVALUATIONS; CONVERGENCE; CRYSTALLIZATION; EQUATIONS; ITERATIVE METHODS; NUCLEATION; PRECIPITATION; SIMULATION; SIZE; STEADY-STATE CONDITIONS; TOLERANCE; VECTORS
- Descriptors DEC
- CALCULATION METHODS; EVALUATION; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS; PHASE TRANSFORMATIONS; SEPARATION PROCESSES; TENSORS
Optional Information
- Notes
- 31 refs.