Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique

Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique

This paper reports on the use of the gas balance and dynamic methods to obtain an estimate of the volumetric oxygen transfer coefficient (kLa) in a conventional reactor during the growth phase of the microorganism Cephalosporium acremonium. A new way of calculating kLa by the dynamic method employing an electrode with a slow response, is proposed. The calculated values of kLa were used in the training of a feedforward neural network, for which the inputs were the parameter measurements of the related variables. The neural network technique proved effective, predicting values of kLa accurately from input data not used during the training phase. In contrast, the gas balance method was shown to be less useful. This could be attributed to the poor data obtained with the apparatus used to measure the oxygen in the exhaust gas, explained by the low rate of oxygen consumption by the microorganism.

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Main Authors: CRUZ,A. J. G., SILVA,A. S., ARAUJO,M. L. G. C., GIORDANO,R. C., HOKKA,C. O.
Format: Digital revista
Language:English
Published: Brazilian Society of Chemical Engineering 1999
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000200010
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spelling oai:scielo:S0104-663219990002000101999-09-15Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network techniqueCRUZ,A. J. G.SILVA,A. S.ARAUJO,M. L. G. C.GIORDANO,R. C.HOKKA,C. O. neural network technique dynamic methods volumetric oxygen transfer coefficient This paper reports on the use of the gas balance and dynamic methods to obtain an estimate of the volumetric oxygen transfer coefficient (kLa) in a conventional reactor during the growth phase of the microorganism Cephalosporium acremonium. A new way of calculating kLa by the dynamic method employing an electrode with a slow response, is proposed. The calculated values of kLa were used in the training of a feedforward neural network, for which the inputs were the parameter measurements of the related variables. The neural network technique proved effective, predicting values of kLa accurately from input data not used during the training phase. In contrast, the gas balance method was shown to be less useful. This could be attributed to the poor data obtained with the apparatus used to measure the oxygen in the exhaust gas, explained by the low rate of oxygen consumption by the microorganism.info:eu-repo/semantics/openAccessBrazilian Society of Chemical EngineeringBrazilian Journal of Chemical Engineering v.16 n.2 19991999-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000200010en10.1590/S0104-66321999000200010
institution SCIELO
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country Brasil
countrycode BR
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access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author CRUZ,A. J. G.
SILVA,A. S.
ARAUJO,M. L. G. C.
GIORDANO,R. C.
HOKKA,C. O.
spellingShingle CRUZ,A. J. G.
SILVA,A. S.
ARAUJO,M. L. G. C.
GIORDANO,R. C.
HOKKA,C. O.
Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique
author_facet CRUZ,A. J. G.
SILVA,A. S.
ARAUJO,M. L. G. C.
GIORDANO,R. C.
HOKKA,C. O.
author_sort CRUZ,A. J. G.
title Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique
title_short Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique
title_full Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique
title_fullStr Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique
title_full_unstemmed Estimation of the volumetric oxygen tranfer coefficient (KLa) from the gas balance and using a neural network technique
title_sort estimation of the volumetric oxygen tranfer coefficient (kla) from the gas balance and using a neural network technique
description This paper reports on the use of the gas balance and dynamic methods to obtain an estimate of the volumetric oxygen transfer coefficient (kLa) in a conventional reactor during the growth phase of the microorganism Cephalosporium acremonium. A new way of calculating kLa by the dynamic method employing an electrode with a slow response, is proposed. The calculated values of kLa were used in the training of a feedforward neural network, for which the inputs were the parameter measurements of the related variables. The neural network technique proved effective, predicting values of kLa accurately from input data not used during the training phase. In contrast, the gas balance method was shown to be less useful. This could be attributed to the poor data obtained with the apparatus used to measure the oxygen in the exhaust gas, explained by the low rate of oxygen consumption by the microorganism.
publisher Brazilian Society of Chemical Engineering
publishDate 1999
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-66321999000200010
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AT giordanorc estimationofthevolumetricoxygentranfercoefficientklafromthegasbalanceandusinganeuralnetworktechnique
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