2012
DOI: 10.1016/j.seppur.2012.08.009
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Evaluation of methyl chavicol concentration by different evaporation processes using central composite experimental design

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Cited by 18 publications
(11 citation statements)
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“…Coded variables Real variables Residue Distillate evaporator temperature and feed flow rate were the ones that had greatest effect on the response variable in the short path evaporation process [18,19]. The results obtained in this work confirm this.…”
Section: Runssupporting
confidence: 78%
See 3 more Smart Citations
“…Coded variables Real variables Residue Distillate evaporator temperature and feed flow rate were the ones that had greatest effect on the response variable in the short path evaporation process [18,19]. The results obtained in this work confirm this.…”
Section: Runssupporting
confidence: 78%
“…, where X i is the dimensionless coded value of the ith factor, n i is the real value of the ith factor, n 0 is the real value of the ith factor at the central point, and Dn i is the step change value of the real variable i [19].…”
Section: Experimental Designmentioning
confidence: 99%
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“…Plackett–Burman design or fractional factorial design are usually applied to select CPPs [16] . In order to obtain design space, response surface methodology, such as central composite design [17] or Box-Behnken design [18] , is widely applied. Recently, Rozet et al suggested that design space is “a multivariate domain of input factors ensuring that critically chosen responses are included within predefined limits with an acceptable level of probability” [16] .…”
Section: Introductionmentioning
confidence: 99%