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Fuzzy Algorithm for Estimation of Hydraulic Jump Aeration Efficiency

Author(s): Serhat Kucukali; Sevket Cokgor

Linked Author(s): Serhat Kucukali

Keywords: Hydraulic jump; Fuzzy logic; Self-aeration; Froude number; Reynolds number

Abstract: A fuzzy logic model was constructed to predict the hydraulic jump aeration efficiency. The fuzzy subsets and rules were created based on the experimental observations and measurements. The experiments were carried out in a 0. 5 m wide flume with upstream Froude and Reynolds numbers ranging from 2. 3 to 6. 4 and 1. 4 to 5. 4x104, respectively. The aeration efficiency took values between 0. 01-0. 1 and a strong correlation was found between the aeration efficiency and the Froude number. Accordingly, the Froude number and Reynolds number were selected as input parameters for the model. It is appeared that these dimensionless numbers control the self-aeration mechanism. Proposed fuzzy model made good predictions and captured the system dynamic behavior. Experimental observations confirmed the fact that hydraulic jump can be used as an aerator and mixing device in water treatment plants.

DOI:

Year: 2007

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