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|Type:||Artigo de periódico|
|Title:||Fluid catalytic cracking optimisation using factorial design and genetic algorithm techniques|
|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. (c) 2012 Canadian Society for Chemical Engineering|
|Subject:||modelling and simulation studies|
optimisation and optimal control theory
|Citation:||Canadian Journal Of Chemical Engineering. Wiley-blackwell, v. 91, n. 2, n. 279, n. 290, 2013.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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