Double-channel pump optimization method based on multi-objective genetic algorithm

Abstract

The invention discloses a double-channel pump optimization method based on a multi-objective genetic algorithm. Turbulence calculation and an optimization algorithm are combined in the method and through the optimization algorithm, an optimum solution of structure parameters of a double-channel pump is found, so that the method can provide reliable design basis for workers lacking of rich design experiences and the quality of the design is improved. The training sample of an artificial neural network model in an optimization model is obtained through CFD analysis; a large number of temporary pump hydraulic performances generated in the optimization process are obtained through approximation model prediction; and therefore, computational accuracy is guaranteed, optimization-finding process is greatly accelerated, and time is shortened.

Description

technical field [0001] The invention relates to an optimization design technology of a flow-channel centrifugal pump, in particular to an optimization method for a double-channel pump based on a multi-objective genetic algorithm. Background technique [0002] The double-channel pump is a new type of centrifugal pump with a special impeller structure. It has good non-clogging performance and has been widely used in various fields of national production, especially in the field of environmental protection. In recent years, the problem of environmental pollution faced by our country has become increasingly severe. The government attaches great importance to environmental protection and has invested a lot of money in the construction of sewage treatment facilities. As the key equipment of sewage treatment, the dual-channel pump will be promoted and used on a larger scale, and the annual output value is expected to reach about 400 million yuan. However, the hydraulic design of t...

AI Technical Summary

Problems solved by technology

However, the hydraulic design of the impeller and volute, the flow-passing parts of the double-channel pump, has been using semi-empirical and semi-theoretical methods, resulting in a series of problems in the performance, safe operation and service life of the designed double-channel pump. Problems: low efficiency (usually only about 40% to 60%), poor operation stability, short service life, severe vibration and noise, etc.

This method has the following disadvantages: 1) The optimization target is single, that is, the head or efficiency is mostly used as a single optimization target, and the overall design requirements of the centrifugal pump are not considered

However, at present, this kind of research work is mostly concentrated in foreign research institutions with a high level of research. In China, the special centrifugal pumps such as dual-channel pumps are applied with advanced CFD flow field calculations combined with multi-objective genetic algorithms to optimize their overall performance. , which has not been discovered yet, is a new field worth exploring

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