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Multi objective optimization design and experimental research of desulfurization and dust removal centrifugal pump based on immune particle swarm optimization algorithm

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Document pages: 10 pages

Abstract: Aiming at the problems of low efficiency, poor cavitation resistance and curve hump in the desulfurization and dust removal process of the existing centrifugal pump, a desulfurization and dust removal centrifugal pump is designed. The hydraulic design of centrifugal pump is carried out by using the velocity coefficient method, and the three-dimensional modeling and numerical simulation of centrifugal pump flow field are carried out by using computational fluid dynamics (CFD) technology. Under the condition of no curve hump, an optimization mathematical model with the highest efficiency and the lowest net positive suction head as the objective function is established. The immune particle swarm optimization algorithm is used to optimize the multi-objective function. The optimal combination after optimization is the main parameters was obtained. The simulation results showed that, compared with the traditional centrifugal pump, the performance of the optimized centrifugal pump had been greatly improved, which eliminated the phenomenon of curve hump. Based on IH model chemical pump to build a prototype test platform, the experimental results of the external characteristics of the prototype pump and the optimization pump under different working conditions were obtained. At the rated flow rate, the optimization pump efficiency was increased by 13.30 , the head was increased by 11.52 , and was decreased by 10.14 . The experimental results showed that the optimized indexes met the design requirements and improved the performance of centrifugal pump. At the same time, the accuracy of the immune particle swarm control method was verified, which provided some reference for the design of desulfurization dust removal centrifugal pump.

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