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A Multi-objective Optimal Design Method of Double Suction Pump Based on Mixed Approximate Model

A multi-objective optimization and approximation model technology, applied in the field of double-suction pump optimization design

Active Publication Date: 2022-06-21
JIANGSU UNIV
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Problems solved by technology

There is currently no method of using a hybrid approximation model to increase the range of high-efficiency zones for double-suction pumps

Method used

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  • A Multi-objective Optimal Design Method of Double Suction Pump Based on Mixed Approximate Model
  • A Multi-objective Optimal Design Method of Double Suction Pump Based on Mixed Approximate Model
  • A Multi-objective Optimal Design Method of Double Suction Pump Based on Mixed Approximate Model

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example

[0024] Example: Design condition of double suction centrifugal pump Q=500m 3 / h, H=40m, speed n=1480r / min;

[0025]

[0026] In the formula: n is the speed, the unit is r / min; Q is the flow rate, the unit is m3 / h; H is the head, the unit is m; the specific revolution is 127.

[0027] The double-suction pump is designed with reference to "Modern-Pump Theory and Design". According to the design experience, the initial blade inlet diameter di=192mm, the hub diameter dh=64mm, the blade outlet diameter do=365mm, the blade outlet placement angle β2=30°, the blade outlet diameter β2=30°, The wrap angle φ=150° and the blade outlet width b2=8mm are the main geometric parameters that affect the pump efficiency. A Latin hypercube was used for a 20-group experimental design.

[0028] experiment method Blade inlet diameter di Wheel diameter dh Impeller outlet diameter do Blade outlet placement angle β2 Blade wrap angle φ Blade outlet width b2 1 194.8 69.8 ...

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Abstract

The invention discloses a multi-objective optimization design method for a double-suction pump based on a hybrid approximation model. The main steps are as follows: first, the main geometric parameters of the impeller are used as input values, and the pump efficiency is used as a target value to establish a data sample; second. , establish an approximate artificial neural network model, and use particle swarm optimization to solve the model coefficients; third, establish a second-order response surface approximation model, and use particle swarm algorithm to solve the model coefficients; fourth, establish an artificial neural network model and second-order response surface For the hybrid approximation model of model weighted superposition, the particle swarm optimization algorithm is used to solve the weight coefficient; design point. The invention can establish a more accurate mixing approximation model, meet the design requirements of widening the high-efficiency area of ​​the double-suction pump, and reduce the design cost at the same time.

Description

technical field [0001] The invention relates to an optimal design method for a double suction pump. Background technique [0002] Double suction centrifugal pumps are widely used in agricultural irrigation and drainage, large pumping stations, chemical industry and many other fields of national economy. The design of double-suction pump is still based on semi-empirical and semi-theoretical design, which is prone to the performance characteristics of narrow high-efficiency area, which needs to be further optimized. [0003] The optimization of centrifugal pumps is one of the long-term research hotspots in the field of pumps. Patent No. 201010520561.6 proposes a CFD-based multi-condition hydraulic optimization method for centrifugal pumps. By building a response surface model and performing global optimization, the high-efficiency area of ​​centrifugal pumps can be expanded, which has reference significance. However, the fitting accuracy of the data samples in this method re...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/17G06F30/27F04D29/22G06F111/10
CPCF04D29/22G06F30/20
Inventor 裴吉王文杰曹健甘星城顾延东
Owner JIANGSU UNIV
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