Title : ( Comparison of RSM and ANN for the investigation of linear alkylbenzene synthesis over H14[NaP5W30O110]/SiO2 catalyst )
Authors: A. Hafizi , Ali Ahmadpour , M. Coolivand - Salooki , M.M. Heravi , F.F. Bamoharram ,
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Abstract
Design of experiments (DOE) and artificial neural networks (ANNs) were successfully applied for studying the operating parameters of benzene alkylation with 1-decene over H14[NaP5W30O110]/SiO2 catalyst. In this reaction catalyst loading, catalyst weight percent and benzene to 1-decene molar ratio (Bz/C10) were chosen as independent variables in experimental design. Prediction of 1-decene conversion and 2-phenyldecane selectivity was performed applying response surface method (RSM) and ANN models. Final selected multi-layer (3-6-2-2) ANN model resulted a coefficient of determination (R2) of 0.95 for 1-decene conversion and 0.99 for 2-phenyldecane selectivity, while the R2 of RSM was 0.93 and 0.92 for these two parameters.
Keywords
, Linear alkylbenzene, RSM, ANN, Preyssler heteropoly acid, Silica-supported catalyst.
@article{paperid:1038900,
author = {A. Hafizi and Ahmadpour, Ali and M. Coolivand - Salooki and M.M. Heravi and F.F. Bamoharram},
title = {Comparison of RSM and ANN for the investigation of linear alkylbenzene synthesis over H14[NaP5W30O110]/SiO2 catalyst},
journal = {Journal of Industrial and Engineering Chemistry},
year = {2013},
volume = {19},
number = {6},
month = {November},
issn = {1226-086X},
pages = {1981--1989},
numpages = {8},
keywords = {Linear alkylbenzene; RSM; ANN; Preyssler heteropoly acid; Silica-supported catalyst.},
}
%0 Journal Article
%T Comparison of RSM and ANN for the investigation of linear alkylbenzene synthesis over H14[NaP5W30O110]/SiO2 catalyst
%A A. Hafizi
%A Ahmadpour, Ali
%A M. Coolivand - Salooki
%A M.M. Heravi
%A F.F. Bamoharram
%J Journal of Industrial and Engineering Chemistry
%@ 1226-086X
%D 2013
