A multi-objective intelligent optimization method for inlet elbow of pipeline pump

An inlet elbow and intelligent optimization technology, which is applied in design optimization/simulation, genetic rules, special data processing applications, etc., can solve problems such as pipeline pump inlet elbow optimization work that has not been reported, and achieve high optimization efficiency and successful optimization High precision and good calculation accuracy

Pending Publication Date: 2019-03-01
JIANGSU UNIV
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Problems solved by technology

[0004] At present, there is no report on the optimization of the pipeline pump inlet elbow

Method used

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  • A multi-objective intelligent optimization method for inlet elbow of pipeline pump
  • A multi-objective intelligent optimization method for inlet elbow of pipeline pump
  • A multi-objective intelligent optimization method for inlet elbow of pipeline pump

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specific Embodiment

[0081] Concrete embodiment: the schematic diagram of pipeline pump structure used in this embodiment is as follows figure 1 As shown, the calculation process is as follows Figure 5 As shown, first determine the design parameters and calculation domain, according to the actual situation, the parameters are shown in the table below (the control point serial number is as figure 2 , Figure 4 shown):

[0082]

[0083]

[0084] Then, use LHS to generate 149 sets of sample variables λ, through automatic modeling (schematic diagram as Figure 6 ), grid division (schematic diagram such as Figure 7 ) and numerical simulation to obtain the external characteristic parameter η corresponding to the 149 variables 1 , η 2 , η 3 . Subsequently, an artificial neural network is used to establish the functional relationship between the external characteristic parameters and the design variables:

[0085]

[0086] Then, use MATLAB 2017b software to enter the genetic algorithm ...

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Abstract

The invention relates to a pipeline pump inlet elbow multi-objective intelligent optimization method, which adopts a commercial mathematical software MATLAB 2017b to run a genetic algorithm script main program and set algorithm parameters; the Latin hypercube sampling method is used to create the sample data. The obtained chromosome parameters are substituted into CREO 4.0 to establish the water model of the sample inlet elbow. The inlet elbow water body diagram is imported into ANSYS Meshing 18.0, and the inlet pipe mesh is drawn. The impeller grids and still water grids obtained in are substituted into ANSYS CFX 18.0 for constant values. Latin hypercube sampling is used to initialize chromosomes in the computational domain. Solving chromosomes and obtaining their objective function values; Read the calculation results and solve the pareto boundary; Judge whether the Pareto front is stable or not, if not, cross and mutate the chromosomes to obtain a new set of chromosomes, and then return to continue iteration; if so, the iteration is stopped and the optimization result is output. This method has the advantages of high optimization efficiency, good computational accuracy and highoptimization success.

Description

technical field [0001] The invention belongs to the field of pump optimization design, in particular to an inlet elbow of a pipeline pump and an optimization method thereof. Background technique [0002] Pumps are important general-purpose machinery used in a wide variety of industries. 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. The pipeline pump is a vertical centrifugal pump with a special structure (its structure is as attached figure 1 As shown), due to its small size and convenient installation, it is widely used in places where the installation space is limited, such as high-rise water supply and domestic hot water circulation. However, due to the limitation of installation space, the pipeline pump uses an elbow to connect the water inlet pipeline and the impeller, and i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/126G06F30/17G06F30/23
Inventor 甘星城裴吉王文杰袁寿其唐亚静曹健邓起凡蒋伟
Owner JIANGSU UNIV
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