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- W3201209439 abstract "This paper deals with the modeling and multi-objective optimization of an industrial phosphoric acid process. The objective is to determine the operating conditions which minimize the chemical losses of phosphate and maximize the productivity of the digestion tank. To achieve these objectives, a process model, based on mass, charge, and energy balances along with thermodynamic equilibrium equations is developed. Experimental measurements concerning sulfur and phosphorus based systems are carried out and other measurements concerning fluorine, silicon and calcium sulfates based systems are collected from the literature. The results show that the predictions are in very good agreement with the measurements. The developed model is then used in a multi-objective optimization problem of an industrial manufacturing process to determine the set of optimal operating conditions. The optimization problem is solved by means of epsilon-constraint method and the optimal solutions are ranked using the multi-attribute utility theory. The best solutions are compared to industrial measurements based on surrogate modeling and are found to be consistent with the current operating conditions. Their implementation would significantly improve the current process performances." @default.
- W3201209439 created "2021-09-27" @default.
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- W3201209439 date "2022-01-01" @default.
- W3201209439 modified "2023-10-18" @default.
- W3201209439 title "Modeling and multi-objective optimization of the digestion tank of an industrial process for manufacturing phosphoric acid by wet process" @default.
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- W3201209439 doi "https://doi.org/10.1016/j.compchemeng.2021.107536" @default.
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