Artificial Neural Networks for Cavitation in Centrifugal Pumps

1. Introduction

The problem of cavitation in centrifugal pumps assumes particular significance in groundwater aquifers where resources are limited. Using artificial neural networks, the effect of each design variable is investigated systematically. In 3 of the cases studied the model successfully reproduced the observed trends. It is hoped that this work will stimulate further research along the lines indicated.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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