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The multi-objective optimization method based on desirability approach has been applied in this study.
The results of the modeling phase were then used as input data in the optimization phase (based on desirability approach) to develop optimal recipes for the studied CTBs.
Based on desirability approach and certain criteria considered for desulfurization/de-aromatization, the optimal desulfurization and de-aromatization yields of 91.7% and 48% were obtained in US/UV/O3/H2O2 combination, respectively.
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In the present study, an optimization strategy based on desirability function approach (DFA) together with response surface methodology (RSM) has been used to optimize ball burnishing process of 7178 aluminium alloy.
Optimum formulation based on desirability (1.0) exhibited PDE of 83.96 % and PS of 180.5 nm.
The optimum formulation based on desirability (0.945) exhibited %EE of 73.74% and PS of 300 nm.
Numerical optimization was carried out based on desirability functions for maximum TPH removal.
A response surface methodology based on desirability function is used to enhance the convergence speed of the proposed algorithm.
Based on desirability functions, the optimized design improves the ventilation system by 24.5% as compared to the actual design.
Numerical optimization technique based on desirability function was carried out to determine the workable optimum conditions for the SEO bioremediation process.
Numerical optimization technique based on desirability function was carried out for initial spent engine oil concentration of 10% w/w to optimize the biodegradation process.
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