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Improving the Airlift pump prediction model for aquaculture Application

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Title: Improving the Airlift pump prediction model for aquaculture Application
Author: Bukhari, Shaker
Department: School of Engineering
Program: Engineering
Advisor: Ahmed, Wael
Abstract: The rapid growth of the aquaculture industry has resulted in a demand for highly efficient methods to control water quality. This thesis is an investigation of airlift pumps and their applications to the aquaculture industry. Airlift pump performance data was collected experimentally in a laboratory setting and in a real-world setting at an aquaculture facility. A pump diameter of 3.175 cm was tested in a lab with an adjustable submergence level. Submergence ratios of 0.5, 0.7, and 0.9 were considered. Four pump size were tested at different aquaculture farms: 5.08 cm, 10.16 cm, 15.2 cm, and 20.32 cm. A theoretical airlift pump performance prediction model was developed using the slip two-phase model and was improved on by implementing two-phase flow pattern detection. Four general flow patterns were considered: Bubbly flow, Slug flow, Churn flow and Annular flow. The experimental results were compared to the improved flow pattern dependent prediction model. The model was implemented to design an airlift pump system for an aquaculture raceway. The opertaion of airlift pumps for circulating water in the raceway was validated by analyzing an existing system.
URI: http://hdl.handle.net/10214/14191
Date: 2018-07
Rights: Attribution-NonCommercial-ShareAlike 2.5 Canada
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Attribution-NonCommercial-ShareAlike 2.5 Canada Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 2.5 Canada