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• W2010492706 abstract "Abstract Statistical techniques coupled with genetic algorithm (GA) were used to identify optimal values of key operational variables in fluid catalytic cracking (FCC) process. A Kellog Orthoflow F fluid catalytic cracking process model was considered. It is known as a highly nonlinear process with a large number of variables with strong interactions among them. A reduced process model was obtained through factorial design technique to be used as a process function in the optimisation work giving as result the operational conditions that maximise conversion without infringing operational restrictions with savings in computational burden and time. An increase of 8.71% in process conversion was achieved applying GA as optimisation technique. © 2012 Canadian Society for Chemical Engineering" @default.
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• W2010492706 date "2012-05-18" @default.
• W2010492706 modified "2023-10-16" @default.
• W2010492706 title "Fluid catalytic cracking optimisation using factorial design and genetic algorithm techniques" @default.
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• W2010492706 doi "https://doi.org/10.1002/cjce.21700" @default.
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