Prediction of Centrifugal Slurry Pump Head Reduction: An Artificial Neural Networks Approach-Reference-Cited by-同舟云学术

Prediction of Centrifugal Slurry Pump Head Reduction: An Artificial Neural Networks Approach

Published:2003-01-01 Issue:1 Volume:125 Page:199-202
ISSN:0098-2202
Container-title:Journal of Fluids Engineering
language:en
Short-container-title:

Author:

Engin Tahsin¹,Kurt Akif²

Affiliation:

1. Faculty of Engineering, Department of Mechanical Engineering, University of Sakarya, 54187 Sakarya, Turkey

2. Faculty of Engineering, Department of Industrial Engineering, University of Sakarya, 54187 Sakarya, Turkey

Abstract

The feasibility of using artificial neural networks (ANN) in the prediction of head reduction of centrifugal pumps handling slurries is examined. An ANN model is proposed and compared with the empirical correlation given by the present authors earlier. The comparison showed that the ANN could successfully be used for the prediction of head reductions of centrifugal slurry pumps. The mean deviation between predicted and experimental values is 5.86% which is reasonable for slurry handling processes.

Publisher

ASME International

Subject

Mechanical Engineering

Link

http://asmedigitalcollection.asme.org/fluidsengineering/article-pdf/125/1/199/5662846/189_1.pdf

Reference19 articles.

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2. Burgess, K. E., and Reizes, A., 1976, “The Effect of Sizing, Specific Gravity and Concentration on the Performance of Centrifugal Pumps,” Proc. Inst. Mech. Eng., 190-36/76, pp. 391–399.

3. Cave, I., 1976, “Effects of Suspended Solids on the Performance of Centrifugal Pumps,” Proc. Hydrotransport-4, Paper H3, BHRA Fluid Engineering, pp. 35–52.

4. Sellgren, A., 1979, “Performance of Centrifugal Pumps When Pumping Ores and Industrial Minerals,” Proc. Hydrotransport-6, Paper G1, BHRA Fluid Engineering, pp. 291–304.

5. Gahlot, V. K., Seshadri, V., and Malhotra, R. C., 1992, “Effect of Density, Size Distribution, and Concentration of Solids on the Characteristics of Centrifugal Pumps,” ASME J. Fluids Eng., 114, pp. 386–389.

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