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A discrete genetic algorithm-based efficient low-pulsating vane pump optimization method

A genetic algorithm and optimization method technology, applied in the field of high-efficiency and low-pulsation vane pump optimization based on discrete genetic algorithm, can solve problems such as insufficient to effectively solve pump unsteady characteristic optimization problems

Active Publication Date: 2021-05-11
JIANGSU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] To sum up, the existing optimization methods are not enough to effectively solve the unsteady characteristic optimization problem of the pump

Method used

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  • A discrete genetic algorithm-based efficient low-pulsating vane pump optimization method
  • A discrete genetic algorithm-based efficient low-pulsating vane pump optimization method
  • A discrete genetic algorithm-based efficient low-pulsating vane pump optimization method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0109] With a design speed n=2910r / min, flow Q=50m 3 / h, head H = 20m, blade number z = 6 single-stage single-suction centrifugal pump as an example, the axial plane projection diagram is as follows figure 2 shown. The inventive method maintains the impeller inlet width b 1 , impeller inlet diameter D 1 , blade number z, and blade thickness δ remain unchanged.

[0110] Chromosome information was initialized using the Latin hypercube sampling method.

[0111] Call ANSYSBladeGen through ANSYS Workbench for the current chromosome information to perform automatic modeling, the result is as follows image 3 As shown, each chromosome corresponds to an impeller.

[0112] Import the obtained impeller model into ANSYSTurboGrid through ANSYSWorkBench for automatic grid division, the result is as follows Figure 4 shown.

[0113] Substituting the obtained grid and still water grid into ANSYSCFX for constant numerical simulation through ANSYSWorkBench, and using the constant numer...

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Abstract

The invention discloses a discrete genetic algorithm-based efficient low-pulsating vane pump optimization method, which comprises the following steps: 1, converting a continuous design variable in a basic genetic algorithm into a discrete design variable to obtain a discrete genetic algorithm; 2, testing the discrete genetic algorithm through a standard test function; and step 3, if a test result of the discrete genetic algorithm meets a preset requirement, performing unsteady characteristic optimization on the vane pump through the tested discrete genetic algorithm. By the adoption of the technical scheme, the requirements for operation stability and reliability of the vane pump are met.

Description

technical field [0001] The invention belongs to the technical field of pump optimization, in particular to a high-efficiency and low-pulsation vane pump optimization method based on a discrete genetic algorithm. Background technique [0002] Pumps are important energy conversion devices and fluid delivery equipment, widely used in petroleum, chemical, irrigation, nuclear power, aerospace and other fields. According to relevant information, the power consumption of pumps accounts for about 17% of the total power generation in the country. In addition, the internal flow of the vane pump presents complex three-dimensional unsteady characteristics, such as backflow at the inlet and outlet of the impeller, interference between moving and static components, and cavitation. Problems such as pressure pulsation, induced noise and vibration caused by the unsteady characteristics of the vane pump can easily affect the stability and reliability of the vane pump operation. Therefore, t...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/23G06F30/27G06F30/28G06N3/12G06F111/06G06F111/08G06F111/10G06F113/08G06F119/14
CPCG06F30/17G06F30/23G06F30/27G06F30/28G06N3/126G06F2111/06G06F2111/08G06F2113/08G06F2119/14G06F2111/10
Inventor 裴吉陈金维王文杰袁寿其甘星城龚小波张猛
Owner JIANGSU UNIV
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