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The Thomas model was applied to adsorption of MB at different flow rate, influent concentration and bed depth to predict the breakthrough curves and to determine the characteristic parameters of the column useful for process design using non-linear regression.
Thomas, Adams Bohart, and Yoon Nelson models were applied to experimental data to predict the breakthrough curves using non-linear regression and to determine the characteristic parameters of the column useful for process design, while bed depth/service time analysis (BDST) model was used to express the effect of bed depth on breakthrough curves.
The model was used to simulate product movement through the sterilizer and to predict information useful for process optimization and facility design.
This paper presents an effective way to simulate the reaction progress and the grain growth during the desorption recombination processing of nano-structured as-disproportionated NdFeB alloy, which is useful for process control and optimization.
The new data are very useful for process design and development in the biorefinery.
In addition, regime maps are particularly useful for process scale-up/down.
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Characterization of particle-size fractions is useful for process-oriented research into SOC (Mathers et al. 2000).
Studies on the kinetic and physiological models for fermentation using lignocellulosic biomass provide useful information for process optimization.
Among them the procedure uses hand calculations, a very useful feature for process engineers.
These obtained results would be useful for similar process using the steels considered in this study.
Understanding wear and its effect would provide a useful insight for process optimisation.
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