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Multi objective optimization design and performance prediction of centrifugal pump based on orthogonal test

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Document pages: 10 pages

Abstract: In order to improve the hydraulic performance of centrifugal pump, based on the original model, an optimization mathematical model with four indexes of head, efficiency, shaft power and net positive suction head as the objective function is established, and the multi-objective optimization design of centrifugal pump is carried out through orthogonal test. Based on the orthogonal table, 16 sets of orthogonal test schemes were developed by selecting four parameters: impeller outlet width, blade inlet angle, blade outlet angle and blade angle; The numerical simulation of flow field is carried out by using computational fluid dynamics technology; Through range analysis, the influence order of geometric parameters on optimization indexes is obtained. Weight of each test factor in optimizationon index was calculated by weight matrix, and a set of optimal schemes was obtained. Based on the external characteristic experimental bench of the IH 65-60-190 chemical centrifugal pump, the simulation values and test values of the prototype pump and the optimization pump were obtained under different working conditions. Under the rated flow, the head was reduced by 17.00 , the efficiency was increased by 9.14 , the shaft power was reduced by 21.50 , the pump net positive suction head was reduced by 16.69 , the curve hump was eliminated, the performance of centrifugal pump was improved, and the feasibility of the weight matrix optimization method was verified. The particle image velocimetry measurement system was used to measure the relative velocity of the internal media in the centrifugal pump. The results showed that the optimization pump had no obvious “jet-wake” flow structure, its maximum velocity was less than the prototype pump, the area of low-speed zone was larger than the prototype pump, the efficiency of the centrifugal pump was improved, and the shaft power and pump net positive suction head were reduced. The reason of the head decrease was analyzed from the internal flow situation, and the accuracy of the design optimization process was proved.

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