Propeller design method based on genetic algorithm

A design method and genetic algorithm technology, applied in the direction of genetic rules, design optimization/simulation, calculation, etc., can solve problems such as many parameter restrictions, failure to obtain the best propeller efficiency, and large error in map values

Inactive Publication Date: 2018-11-13
CSSC XIJIANG SHIPBUILDING
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Problems solved by technology

[0005] In view of this, the present invention provides a method for designing a propeller based on a genetic algorithm, which solves the problem that in the prior art, when using a map design method to design a propeller, there are many parameter re

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  • Propeller design method based on genetic algorithm
  • Propeller design method based on genetic algorithm
  • Propeller design method based on genetic algorithm

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Embodiment Construction

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Such as Figure 1-7 As shown, the embodiment of the present invention provides a method for designing a propeller based on a genetic algorithm, comprising the following steps:

[0052] S1. First set the corresponding input speed V 0 , in this step S1, since the ship type and the main engine type have been determined, the staff can obtain the speed V according to the design requirements 0 initial parameters.

[0053] S2. Input the design range of the initial parameters: According to the design requirements, determine the propeller diameter D, pitch ratio P / D, and disk surface ratio A in advance E / A 0 , the number of blades Z, the genome population size and the design range of the initial parameters of the speed V. In this step S2, since the ship type and the main engine model have been determined, the staff can obtain the propeller diameter D, pitch ratio P...

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Abstract

The invention discloses a propeller design method based on a genetic algorithm. The method comprises the following steps: firstly, presetting initial speed V0; determining value range of initial parameters of a propeller; constructing a genome population; carrying out cavitation checking on the genome population to eliminate/reform genomes not according with requirements; calculating propeller efficiency of genomes; carrying out evolution and elimination on the genome population until a preset evolution times are reached; outputting and selecting highest efficient propeller design parameters,and calculating corresponding speed; and finally, judging, according to the speed, whether optimization is continued. According to the method, an optimization design of the genetic algorithm is employed, limitation that in the prior art, mutual influences in changes among all parameters need to be considered and thus adjustment is continuously carried out for obtaining optimum propeller efficiencyis overcome, and design efficiency of the propeller is improved; and compared with a set of optimal parameters only obtained by using a graph design manner, a set of multi-solution optimization parameter schemes finally obtained by the method more facilitate selection and determination of an optimal propeller design scheme.

Description

technical field [0001] The present invention relates to the technical field of propeller design, and more specifically, relates to a method for designing a propeller based on a genetic algorithm. Background technique [0002] Genetic Algorithm (Genetic Algorithm) is a calculation model of the biological evolution process that simulates the natural selection and genetic mechanism of Darwin's biological evolution theory. It is a method of searching for the optimal solution by simulating the natural evolution process. The genetic algorithm starts with a population representing the potential solution set of the problem, and a population is composed of a certain number of individuals encoded by genes. Each individual is actually an entity with chromosomes. Therefore, the mapping from phenotype to genotype, that is, coding, needs to be realized at the beginning. Because the work of imitating genetic codes is very complicated, it is generally simplified in practical applications,...

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Application Information

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IPC IPC(8): G06F17/50G06N3/12
CPCG06N3/126G06F30/17G06F30/20
Inventor 卢纪文
Owner CSSC XIJIANG SHIPBUILDING
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