Experimental analysis on the behavior of water drops dispersed in oil within a centrifugal pump impeller

Perissinotto, Rodolfo Marcilli; Verde, William Monte; Perles, Carlos Eduardo; Biazussi, Jorge Luiz; Castro, Marcelo Souza de; Bannwart, Antonio Carlos

doi:10.1016/j.expthermflusci.2019.109969

Cited by 31 publications

(12 citation statements)

References 30 publications

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“…The data from literature applied to validate Eqs. (30) and (31) show a high accuracy of the correlations and their transferability to other material systems, centrifugal pump geometries and operating conditions.…”

Section: Droplet Size Distributionmentioning

confidence: 78%

“…Regarding the accuracy of the correlations, Eqs. (30) and (31) have a coefficient of determination R 2 of 0.99 and 0.93.…”

Section: Droplet Size Distributionmentioning

confidence: 99%

“…In conclusion, with the known SMD Eqs. (30) and (31) can be applied to determine the DSD for a defined operating point of a centrifugal pump. Furthermore, the blank symbols in Fig.…”

Section: Droplet Size Distributionmentioning

confidence: 99%

“…9 represent experimental data obtained from literature. For this purpose, experimental drop size distributions were extracted from the research works of Morales et al [29], Dabirian et al [15] and Perissinotto et al [30] and used to determine the corresponding SMDs, the mean values and the standard deviations by means of the MATLAB curve fitting tool. The data from literature applied to validate Eqs.…”

Section: Droplet Size Distributionmentioning

confidence: 99%

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Droplet Size Distributions of Liquid‐Liquid Dispersions in Centrifugal Pumps

Schmitt

Sibirtsev

Hlawitschka

et al. 2020

Chemie Ingenieur Technik

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Ing. Matthias Kraume on the occasion of his 65th birthday The generation of liquid-liquid dispersions with defined droplet size distributions is an important aspect for process equipment design. In this work, two centrifugal pumps with different impeller diameters were used to generate dispersions at selected operating points for a paraffin oil-water system. The droplet break-up phenomena within the centrifugal pumps were analyzed using a transparent pump design in combination with high-speed imaging. Droplet size distributions at centrifugal pump discharge nozzle were recorded with optical probe measurement technologies and evaluated by means of image processing using a neural network. The influence of impeller diameter, rotational speed, volumetric flow rate and dispersed phase fraction are discussed. Experimental data is correlated using fluid properties, operating data as well as centrifugal pump dimensions. The correlations developed from results of this work serve as a basis for the equipment design of centrifugal pumps.

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Section: Droplet Size Distributionmentioning

confidence: 78%

“…Regarding the accuracy of the correlations, Eqs. (30) and (31) have a coefficient of determination R 2 of 0.99 and 0.93.…”

Section: Droplet Size Distributionmentioning

confidence: 99%

“…In conclusion, with the known SMD Eqs. (30) and (31) can be applied to determine the DSD for a defined operating point of a centrifugal pump. Furthermore, the blank symbols in Fig.…”

Section: Droplet Size Distributionmentioning

confidence: 99%

Section: Droplet Size Distributionmentioning

confidence: 99%

See 2 more Smart Citations

Droplet Size Distributions of Liquid‐Liquid Dispersions in Centrifugal Pumps

Schmitt

Sibirtsev

Hlawitschka

et al. 2020

Chemie Ingenieur Technik

View full text Add to dashboard Cite

show abstract

“…When the motor speed changes, the output flow of the centrifugal pump can be adjusted. Through the real-time monitoring of the output flow and the real-time regulation of the motor, the automatic speed regulation of the centrifugal pump impeller is realized, and the automatic regulation control of the centrifugal pump output flow is completed [8,9].…”

Section: Structure Designmentioning

confidence: 99%

Optimization Design of Centrifugal Pump Flow Control System Based on Adaptive Control

et al. 2021

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In this paper, in order to improve the control characteristics of the centrifugal pump flow control system, a mathematical model of the centrifugal pump flow control system was established based on an analysis of the basic structures, such as the frequency converter, motor, and centrifugal pump. Based on the adaptive control theory, the recursive least squares algorithm with a forgetting factor was used to estimate the real-time parameters of the centrifugal pump control system, and the self-tuning PID control method was used to optimize the mathematical model of the centrifugal pump flow control system. The simulation results showed that the adjustment time of the optimized system was shortened by 16.58%, and the maximum overshoot was reduced by 83.90%, which improved the rapidity and stability of the transient response of the system. This showed that adaptive control had a significant effect on improving the robustness and anti-interference ability of the centrifugal pump control system. In order to further verify the accuracy of the self-tuning PID control method, a flow adaptive control system test platform was built. The test results showed that under the conditions of constant frequency and variable frequency, the actual flow rate of the centrifugal pump was always kept near the set flow rate, the error was small, and it had better real-time followability. The research results showed that adaptive control could revise the parameters in real-time according to changes to the centrifugal pump control system, which improved the stability and robustness of the system. Therefore, adaptive PID control could effectively improve the adaptability of centrifugal pumps to various complex working conditions and improve the working efficiency of centrifugal pumps.

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