Abstract
The high-pressure multistage centrifugal pump is the main piece of energy-consuming equipment in the reverse osmosis desalination process, and it consumes about 35% of the entire system’s operating cost. The optimization process of multi-stage pumps undoubtedly requires the performance comparison of multiple schemes in order to verify the effectiveness of the optimized design and the optimization method. Therefore, based on ANSYS Workbench and an improved bat algorithm, an intelligent optimization scheme was designed and carried out on a three-stage reverse osmosis desalination high-pressure pump for efficiency improvement by optimizing the matching relationship between the impeller and the guide vane. An external characteristic test was carried out in an open test rig system in order to verify the numerical model. After modifying the positive guide vane structure, the efficiency was improved for both the rated design and the non-design flow conditions without obvious separation and backflow. With the improved bat algorithm, there was a 3.98% increase in the design point efficiency after the final optimization. Under the design conditions, all of the large vortices disappeared after the optimization. The study provides a reference for the optimization design of the impeller–guide vane matching effect in a multistage pump using an improved bat algorithm.
Highlights
In recent years, the overall scale of seawater desalination projects has grown steadily, for reverse osmosis desalination technology
There is a large vortex at the end of the positive guide vane flow channel; it is necessary to separately improve the structure of the positive guide vane in order to avoid the problem of the positive guide vane structure restricting the effect of the automatic optimization
In order to verify the effectiveness of the local search bat algorithm based on t distribution (TMBA), test functions with different characteristics are selected to test the improved algorithm; at the same time, in order to understand the advantages and disadvantages of the improved algorithm, the test results were compared with the basic bat algorithm (BA) and the particle swarm algorithm (PSO)
Summary
The overall scale of seawater desalination projects has grown steadily, for reverse osmosis desalination technology. Studied the effect ofoptimization two positivemethods guide vane on the performance multi-stage pumps, and pointed out that the good matching accurate and canofcontrol morecentrifugal design variables [9,10,11]. The optimization process of multi-stage pumps undoubtedly requires a performance comparison of multiple schemes in order to verify the effectiveness of the optimized design and the optimization method. Wang [15] conducted an energy loss optimization study on the two-stage model of a five-stage centrifugal pump, considering the influence of the outlet flow of the guide vane on the performance of the secondary impeller. A direct optimization approach using an improved algorithm was the effectiveness of the improved bat algorithm’s direct optimization of thebat impeller-guide carried out on a high-pressure multistage seawater desalination pump in order to verify vane for high efficiency. The model after optimization were compared and analyzed to provide reference for the subsequent design optimization
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