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- W4385461635 abstract "Modeling of reactive crystallization processes is considered to be a complex task where the reaction and crystallization processes that occur together pose extra challenge. A simplified approach is shown to model such reactive crystallization processes using limited number of experiments covering the design space. In the current application, a case study is demonstrated using unseeded semi-batch reactive crystallization of salicylic acid. Multiobjective optimization (MOO) approach is used to determine the kinetic model parameters considering surrogate objectives related to solution concentration and mean size of crystals using the experimental data collected. The proposed first principles model is in good agreement with the experimental data and thus can be further applied for model predictions to determine optimal control strategies." @default.
- W4385461635 created "2023-08-02" @default.
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- W4385461635 date "2023-11-01" @default.
- W4385461635 modified "2023-10-17" @default.
- W4385461635 title "Modeling of an unseeded reactive crystallization process using multiobjective optimization" @default.
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- W4385461635 doi "https://doi.org/10.1016/j.jcrysgro.2023.127382" @default.
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