Impeller robust-optimization design method of mixed-flow pump

A robust and optimized impeller design technology, applied in design optimization/simulation, calculation, special data processing applications, etc., can solve the undiscovered random uncertainty fluctuation of flow conditions parameters, performance deterioration of mixed flow pump, failure to work normally, etc. problems, to achieve the effect of improving anti-interference ability, eliminating differences, and improving accuracy

Inactive Publication Date: 2018-08-24
JIANGSU UNIV
View PDF10 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The environmental parameters, optimization variables and objective functions in these traditional optimization methods are all deterministic and cannot reflect the influence of objectively existing uncertain factors on the design scheme, and the performance of the optimal solution obtained by these traditional optimization design methods is often It is optimal under a certain working condition. Once the operating conditions change, the performance of the mixed flow pump will deteriorate sharply, the stability of operation will deteriorate, and even the condition of malfunction may occur.
After searching, no robust optimization design method has been found that takes into account the random uncertainty fluctuation of the flow condition parameters

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Impeller robust-optimization design method of mixed-flow pump
  • Impeller robust-optimization design method of mixed-flow pump
  • Impeller robust-optimization design method of mixed-flow pump

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0075] The main design parameters of the mixed-flow pump used in this embodiment are: specific speed ns=520.17, rated flow Q d =4500m 3 / h, rated head H=10.34m, speed n=735r / min. And in this specific embodiment, the head H of the pump and the efficiency η of the pump are taken as the optimization indexes in the robust optimization problem of the hydraulic performance of the mixed flow pump, that is, the number of optimization indexes in this specific embodiment is m=2. The specific implementation steps are:

[0076] (1) Select a fourth-order dimensionless velocity moment distribution function f(x) to control the velocity moment V u The distribution law of r, the expression of f(x) is shown in formula (13):

[0077] f(x)=ax 4 +bx 3 +cx 2 +dx+e (13)

[0078] In the formula, x represents the relative length of any streamline in the axial plane projection diagram of the mixed flow pump blade, x=s / s 0 ;by figure 1 Take the middle streamline 3-3' as an example, s represents...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an impeller robust-optimization design method of a mixed-flow pump in impeller hydraulic-performance optimization technology. A robust-optimization problem is decomposed into arobust-sub-optimization problem and an optimal-sub-optimization problem for solving, an optimization result is enabled to be closer to robust-optimization indexes, a robust-optimization mathematical-model is established according to robustness definitions, a multiple-regression-analysis method is used to establish function relationship formulas between optimization objectives and optimization variables according to the established robust-optimization mathematical-model, a multi-objective genetic algorithm is combined to solve the function relationship formulas, and finally, a set of n parameters which can enable stability of hydraulic performance under uncertain flow work condition parameter disturbance to be optimized while the hydraulic performance of the mixed-flow pump is enabled to be optimized is obtained. Interference factors of random uncertainty fluctuation of flow work condition parameters of the mixed-flow pump in an actual running process are fully considered, and are considered in a process of establishing the function relationship formulas between the optimization variables and the optimized objectives.

Description

technical field [0001] The invention belongs to the optimization technology applied to the hydraulic performance of the impeller, in particular to the hydraulic optimization design method of the impeller of the mixed-flow pump, so as to improve the stability of the performance of the mixed-flow pump in actual operation and reduce its sensitivity to uncertain factors. Background technique [0002] Mixed-flow pumps are widely used because of their flow rate, large head variation range, wide high-efficiency zone, better improvement of the hump phenomenon in the performance curve in the environment of small flow and high head, compact structure, and easy aerodynamics. It is widely used in national economic fields such as power station cooling water circulation system, seawater desalination device, farmland irrigation, municipal water supply and drainage, etc. Secondly, the mixed flow pump is a type of pump that has the advantages of both the high head of the centrifugal pump and...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06F17/50
CPCG06F30/17G06F30/20
Inventor 张成虎赵斌娟
Owner JIANGSU UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products