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Method for optimizing structure of shaft part based on immune genetic algorithm

A technology of immune genetic algorithm and shaft parts, applied in the field of mechanical design, can solve the problems of low precision and low efficiency

Inactive Publication Date: 2010-12-29
CHONGQING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] For this reason, the present invention aims at the defects of low efficiency and low precision in the design or optimization process of shaft parts in the prior art, and proposes a structure optimization method for shaft parts based on immune genetic algorithm to efficiently Realize the optimization of shaft parts, achieve the purpose of improving optimization efficiency and precision, and reduce costs; the invention also provides an effective method for calculating the reliability of shaft parts and their sensitivity to design variables

Method used

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  • Method for optimizing structure of shaft part based on immune genetic algorithm
  • Method for optimizing structure of shaft part based on immune genetic algorithm
  • Method for optimizing structure of shaft part based on immune genetic algorithm

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Embodiment

[0068] The three-stage planetary reducer of an earth pressure balance shield machine, the material used for the shaft is 17CrNi2MoAl, the three-stage shaft is hollow, the input torque is 1489N.m, the input speed is 1145.6rpm, the average value of the shaft shear strength and variance are 128Mpa and 16.64Mpa respectively, and its mechanical model is as follows figure 2 shown. In the three-stage planetary reducer, the torque of the upper-stage shaft is transmitted to the next-stage shaft through the spline, and the length of the three-stage shaft has been determined. The first to third-stage shafts are 120mm, 163mm and 241mm respectively, and their original basic dimensions The design parameters are:

[0069] The first stage shaft: the outer diameter is 63mm, the inner diameter is 15mm;

[0070] The second shaft: the outer diameter is 96mm, the inner diameter is 20mm;

[0071] Tertiary shaft: outer diameter is 117mm, inner diameter is 20mm.

[0072] The design requirement o...

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Abstract

The invention provides a method for optimizing a structure of a shaft part based on an immune genetic algorithm. The method is implemented by using a computer and comprises the following steps of: converting a combination function correspond into antigens, wherein the combination function is formed by combining the volume of the shaft part with the sensitivity of reliability for a design variable by an image set method; converting the basic size of the shaft part into antibodies; performing immunoselection on the antibodies based on the expected reproductive rate of the antibodies; after performing cloning, crossing and variation operation on an antibody population, making the antibody population generate a progeny antibody population by adopting advantageous measures such as a mating strategy, an elitist strategy, new thought of comparing and substituting similar antibodies, a measure of dividing a memory pool into two parts and the like; and therefore, optimizing the basic size of the shaft part through repeated generation continuation genetic evolution. The method provided by the invention has the advantages of efficiently optimizing the shaft part, improving optimization efficiency and precision and reducing cost. At the same time, the invention provides an effective method for calculating the reliability of the shaft part and the sensitivity of the design variable.

Description

technical field [0001] The invention relates to a method for optimizing the structure of shaft parts, in particular to a method for optimizing the structure of shaft parts based on immune genetic algorithm, and belongs to the technical field of mechanical design. Background technique [0002] The problem of improving the optimization efficiency, precision and operation convenience of shaft parts under the requirements of ensuring high reliability is a problem that needs to be continuously improved or urgently solved in the field of mechanical optimization design. [0003] Immune Genetic Algorithm can take into account the three aspects of global search ability, local search ability and search speed after introducing the characteristics of antibody diversity, self-regulation ability, and immune memory ability in the biological immune system into the genetic algorithm. One of the research hotspots in the field of design. Chen Xi et al. (Chen Xi, Tan Guanzheng, Jiang Bin; Real...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06N3/12
Inventor 龚宪生张干清廉超杨俊杰王欢欢徐红亮
Owner CHONGQING UNIV
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