Development of an artificial neural network correlation for prediction of overall gas holdup in bubble column reactors

Shaikh, Ashfaq; Al‐Dahhan, Muthanna H.

doi:10.1016/s0255-2701(02)00209-x

Cited by 55 publications

(34 citation statements)

References 20 publications

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“…ANN, as an effective tool to perform nonlinear input-output mapping, have been proven to be capable of solving complex problems such as the prediction of hydrodynamic parameters in airlift reactors and bubble columns [31][32][33][34][35]. Moreover, ANN are less sensitive to noise and incomplete information and better predicted outputs compared to traditional empirical correlations.…”

Section: Correlationmentioning

confidence: 99%

Influence of the Sparger Type and Added Alcohol on the Gas Holdup of an External‐Loop Airlift Reactor

et al. 2015

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The influences of alcohol adding and three different gas spargers (single orifice, perforated plate, and sinter plate) on the gas holdup in an external-loop airlift reactor were studied. The experimental results show that the gas holdup can be increased by mutual influence of both the alcohol adding and the sparger type. The presence of small amounts of normal aliphatic alcohols caused an increase of the gas holdup compared to the air-water system, due to their coalescence-inhibiting nature. The sinter plate was the most efficient sparger, followed by the perforated plate and the single orifice. A proposed artificial neural network (ANN) has the potential to predict gas holdup values in airlift reactors for various alcohols and types of gas spargers.

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Section: Correlationmentioning

confidence: 99%

Influence of the Sparger Type and Added Alcohol on the Gas Holdup of an External‐Loop Airlift Reactor

et al. 2015

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“…And the gas holdup was calculated from the equation of Luo et al 1999; This correlation was the one having the lowest %AARE as investigated by Shaikh and Al-Dahhan 2003, except that for the model predicted by ANN. It is given by the equation: (21) 10 Chemical Product and Process Modeling, Vol.…”

Section: Mechanistic Approachmentioning

confidence: 99%

Development of a Heat Transfer Coefficient Model via Experimental Validation

Al-Hemiri¹,

Ahmedzeki²

2008

Chemical Product and Process Modeling

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Knowledge of the heat transfer coefficient is an essential prerequisite for any industrial gas/ liquid bubble column reactor design. In this paper, experiments were carried out in a laboratory scale bubble column using air-water and 10wt% glycerin-air solution systems. Experimental values of the heat transfer coefficient were compared with some of the previous published correlations and were also compared with the model predicted by ANN in our previous work (Ahmedzeki, 2007). The ANN model was found to be better than all previous published correlations. %AARE was 8.2 and %standard deviation was 7.85. A mechanistic model was also developed to analyze the system. The resulting correlation was a %AARE of 17.5 and %standard deviation of 15. Both the above models and the experimental results compared well with the previous published correlations.

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“…= neural-network weighting parameters [146] Air-(light oil, machine oil, five different engine oils) …”

Section: Isothermal Columnsmentioning

confidence: 99%

Gas-Liquid Direct-Contact Evaporation: A Review

Ribeiro¹,

Lage²

2005

Chem. Eng. Technol.

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Gas-liquid direct-contact evaporators are characterized by the bubbling of a superheated gas through the solution to be concentrated. In other words, they are nonisothermal bubble columns. Despite their simplicity of construction, these units exhibit rather complex hydrodynamics and, similar to what occurs to isothermal bubble columns, the design of such units still poses a problem. The present paper reviews the literature regarding this kind of equipment, addressing both experimental studies and modeling efforts. The covered issues include classic and potential applications, bubbling regimes, gas holdup and bubble size distributions, as well as mathematical models proposed for simulating the unit. Additionally, pertinent literature on isothermal bubble columns is also discussed. Recommendations are made for future research.

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Development of an artificial neural network correlation for prediction of overall gas holdup in bubble column reactors

Cited by 55 publications

References 20 publications

Influence of the Sparger Type and Added Alcohol on the Gas Holdup of an External‐Loop Airlift Reactor

Influence of the Sparger Type and Added Alcohol on the Gas Holdup of an External‐Loop Airlift Reactor

Development of a Heat Transfer Coefficient Model via Experimental Validation

Gas-Liquid Direct-Contact Evaporation: A Review

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