Genetic algorithm-based centrifugal pump impeller multi-objective intelligent optimization method

Abstract

The invention relates to a genetic algorithm-based centrifugal pump impeller multi-objective intelligent optimization method. The method comprises the following steps of 1, running a script main program of a genetic algorithm by adopting software MATLAB 2014a and setting algorithm parameters; 2, initializing chromosomes in a computational domain; 3, substituting chromosome parameters obtained in the step 2 into ANSYS WorkBench 17.0, and calling ANSYS BladeGen 17.0 to build impeller water body models corresponding to the chromosomes; 4, importing an impeller water body graph obtained in the step 3 to ANSYS TurboGrid 17.0, and drawing an impeller grid; 5, substituting the impeller grid obtained in the step 4 and a static water area grid into ANSYS CFX 17.0 for performing constant value determination; 6, reading a computational result obtained in the step 5 to obtain a unified evaluation function; 7, reading the unified evaluation function in the step 6, and obtaining the fitness of the chromosomes to the computational domain; and 8, judging whether the optimal chromosome in the step 7 meets an iterative stop condition or not, and if not, returning to the step 3 for continuing iteration, or if yes, stopping iteration and outputting an optimization result. The method has the advantages of high optimization efficiency, high computational precision and the like.

Description

technical field [0001] The invention belongs to the field of pump optimization design, in particular to a centrifugal pump impeller of medium and low specific speed and an optimization method thereof. Background technique [0002] Pumps are important general-purpose machinery used in a wide variety of industries. Among them, the medium and low specific speed pumps have the characteristics of small flow and large head, and are mainly used in places with high pressure requirements such as high-rise water supply and fire protection. According to relevant data, the electric energy consumed on the water pump unit accounts for more than 21% of the total energy consumption in the country every year, and accounts for 30%-60% of the production cost in water supply enterprises. Therefore, optimizing the efficiency of centrifugal pumps is of great significance for energy saving and emission reduction. [0003] In addition, the stable operation of the pump is of great significance to ...

AI Technical Summary

Problems solved by technology

[0005] At present, most of the research on pump impeller optimization focuses on single-objective optimization and often uses mathematical models. This type of model relies on experience, has low accuracy, poor optimization efficiency and very limited application.

Optimization methods in this area are no longer sufficient to meet the multi-objective requirements of the current society for stable and efficient equipment.

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