Prediction of Reaeration Rates in Square, Stirred Tanks

Rao, A. Venkateswara

doi:10.1061/(asce)0733-9372(1999)125:3(215)

Cited by 49 publications

(54 citation statements)

References 5 publications

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“…However based on certain intuitions and guess, this approach generally gives a working result. It can also be said from the earlier studies (Nagata, 1975;Rao, 1999) that aeration process is uniquely described by the dynamic parameters on optimal geometric conditions.…”

Section: Introductionmentioning

confidence: 95%

“…Experimental data obtained from our earlier studies (Rao, 1999) on square surface aerators were used in additions to the present the experimental data in order to provide a sufficient number of data for the modeling the process. Experimental optimal points for different parameters have been published in Rao (1999).…”

Section: Data Source: Experimental Workmentioning

confidence: 99%

“…Experimental optimal points for different parameters have been published in Rao (1999). Three sizes of square surface aeration tanks of c/s area (1, 0.5184 and 0.1684 m 2 ) were tested under laboratory conditions.…”

Section: Data Source: Experimental Workmentioning

confidence: 99%

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Square Surface Aerator: Process Modeling and Parameter Optimization

Rao

Kumar²

2007

J ENV INFORM

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ABSTRACT. The performance of an aeration system generally depends upon the geometric and dynamic parameters. The main purpose of doing experiment in the area of surface aeration system is to interpret the laboratory results for the field application that is to scale-up the results. This requires a geometrical similarity conditions. Finding geometrical optimal conditions of a surface aeration system through experiments involves physical constraints and classically parameters can be optimized by varying one variable at a time and keeping others as constants. In the real experimental process, it is not possible to vary all others geometric parameters simultaneously. In such a case, the model of the system is built through computer simulation, assuming that the model will result in adequate determination of the optimum conditions for the real system. In this paper, two approaches have been used to model the phenomena: i) Multiple regression and ii) Neural network. It has been found that neural network approach is showing better predictability compared to the multiple regression approach. In process of optimization, the pertinent dynamic parameter is divided into a finite number of segments over the entire range of observations. For each segment of the dynamic parameter, the neural network model is optimized for the geometrical parameters spanning over the entire range of observations. Thus each segment of the dynamic parameter has its set of optimal geometrical conditions. Results obtained are having less variation among them and they are very nearer to the experimental optimal conditions. Input parameter significance test of neural network model reveals that, in general the blade width of rotor is a major geometric parameter to enhance the aeration process.

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Section: Introductionmentioning

confidence: 95%

Section: Data Source: Experimental Workmentioning

confidence: 99%

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Square Surface Aerator: Process Modeling and Parameter Optimization

Rao

Kumar²

2007

J ENV INFORM

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“…The criterion of power per unit volume was found to be very useful in geometrically similar systems for scale-up of horizontal rotor aerators (Horvath, 1984;Simha, 1991;Rao, 1999).…”

Section: Introductionmentioning

confidence: 99%

“…In the field of wastewater treatment, many investigators have successfully made use of the theory of dimensional analysis and obtained optimal geometric similarity of horizontal rotor aerators under different conditions (Schmidtke and Horvath 1977;Zlokarnik 1979;Ognean 1993). Rao (1999) presented the occurrence of scale effects due to the Reynolds and the Froude laws of the aeration performance under geometric similar conditions.…”

Section: Introductionmentioning

confidence: 99%

Oxidation ditch process using curved blade rotor as aerator

Thakre

Bhuyar

Deshmukh

2008

Int. J. Environ. Sci. Technol.

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S. B. Thakre et al. AB STRACT:Oxidation ditch process is used to treat the municipal and domestic sewage. The untreated sewage generates fouling smell, harmful bacteria, etc. which is hazardous for public health and degrades the environment by librating noxious gases. This paper examines the use of curved blade aerator for oxidation ditch process. The rotor, which controls the aeration, is the main component of the aeration process. Therefore, the objective of this study is to find out the variations in overall oxygen transfer coefficient and aeration efficiency for different configurations of aerators by varying the parameters like speed of aerator, depth of immersion and blade tip angles so as to yield higher values of overall oxygen transfer coefficient and aeration efficiency. Four aerators of different configuration were developed and fabricated in the laboratory and were tested for above mentioned parameters. A mathematical model is developed for predicting the values of k L a and aeration efficiency which has R 2 values of 0.97 and 0.99 for experimentally determined and calculated values. In laboratory studies, the optimum value of overall oxygen transfer coefficient and aeration efficiency were observed to be 10.33/h and 2.269 kg O 2 /kWh for aerator speed of 48 rpm, 5.5 cm depth of immersion and 47 o blade tip angle for curved blade aerator.

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