1,721,120 research outputs found
An Extended Kalman Filtering Approach with a Criterion to set its Tuning Parameters. Application to a Catalytic Reactor
No full textDevelopment of a 4-Measurable States Activated Sludge Process Model Deduced from the ASM1
No full textThe Activated Sludge Model No.1 (ASM1) allows the prediction of organic matter degradation, nitrification and denitrification in the activated sludge bioreactors using thirteen states variables. This paper deals with modal reduction procedure applied to the ASM1, that followed by physical considerations about the process allows the development of a 4-state variables model which is still able to describe the nonlinear behavior of bioreactors in the Activated Sludge Process (ASP). Furthermore, coupling the reduced bioreactor model with a simplified model for the secondary settler (as the Taka ́cs model), the overall ASP behavior is deduced
On the prediction of PSD in antisolvent mediated crystallization processes based on Fokker-Planck equations
No full textA phenomenological model for the description of antisolvent mediated crystal growth processes is presented. The crystal size growth dynamics is supposed to be driven by a deterministic growth factor coupled to a stochastic component. Two different models for the stochastic component are investigated: a Linear and a Geometric Brownian motion terms. The evolution in time of the particle size distribution is then described in terms of the Fokker-Planck equation. Validations against experimental data are presented for the NaCl-water-ethanol anti-solvent crystallization system. It was found that a proper modeling of the stochastic component does have an impact on the model capabilities to fit the experimental data. In particular, the GBM assumption is better suited to describe the antisolvent crystal growth process under examination
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