Aircraft electromechanical system sealing structure long-life design method based on particle swarm optimization algorithm

A technology of particle swarm optimization and electromechanical systems, applied in computing, electrical digital data processing, instruments, etc., can solve problems such as aircraft crashes and fatalities, impact on flight life, loss, etc., achieve fast convergence speed, good global search ability, and reduce Calculate the effect of time

Active Publication Date: 2019-11-19
NORTHWESTERN POLYTECHNICAL UNIV
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AI Technical Summary

Problems solved by technology

The safety accidents and economic losses caused by the failure of the sealing structure cannot be ignored
In the field of aerospace, the failure of the sealin

Method used

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  • Aircraft electromechanical system sealing structure long-life design method based on particle swarm optimization algorithm
  • Aircraft electromechanical system sealing structure long-life design method based on particle swarm optimization algorithm
  • Aircraft electromechanical system sealing structure long-life design method based on particle swarm optimization algorithm

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[0026] The present invention will now be further described in conjunction with the embodiments and drawings:

[0027] The present invention attempts to solve the optimization problem of a complex sealing structure under multiple failure modes: under the condition that the aircraft electromechanical system does not leak, the prestress applied to the sealing ring is expanded and optimized, so as to improve the fatigue life of the sealing ring.

[0028] It can be expressed as

[0029]

[0030] In the formula, S is the life of the sealing ring, σ is the maximum stress of the sealing ring, P oil Is the oil pressure of the electromechanical system, F is the prestress, F min And F max These are the minimum and maximum values ​​of prestress.

[0031] 1) RBF neural network optimized by cross-validation

[0032] The present invention first adopts a normal sampling method for the pre-compression that needs to be optimized, selects 200 sets of pre-compression in the optimization interval as input...

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Abstract

The invention relates to an aircraft electromechanical system sealing structure long-life design method based on a particle swarm optimization algorithm. An RBF neural network agent model is adopted,modeling parameters and easy-to-fail point stress in an O-shaped sealing ring finite element model serve as samples to be input into an RBF neural network to be trained, and a cross validation methodis adopted to enable prediction errors to be reduced to 10% or below; the service life of the sealing ring is calculated by adopting a fatigue life empirical formula; the pre-compression amount of theO-shaped sealing ring is optimized by adopting an adaptive particle swarm optimization (APSO) algorithm by taking the service life of the O-shaped sealing ring as a target function, the pre-compression amount as a parameter to be optimized and no leakage of the sealing ring as a constraint condition. Compared with a traditional optimization algorithm, the method has good global search capabilityand high convergence rate for parameter optimization of a complex structure.

Description

technical field [0001] The invention belongs to the field of structural optimization design, and relates to a long-life design method for complex structures, in particular to a long-life design method for a sealing structure of an aircraft electromechanical system based on a particle swarm optimization algorithm. Background technique [0002] Sealing structures are widely used in modern industrial fields. The safety accidents and economic losses caused by the failure of the sealing structure cannot be ignored. In the field of aerospace, the failure of the sealing structure of the aircraft will lead to serious consequences and cause great losses, ranging from affecting the flight life to affecting the life of the aircraft and causing death. [0003] Among the various failure modes of the sealing structure, fatigue failure is the main cause of failure of the structure. Aiming at the problem of fatigue failure of the sealing mechanism under complex conditions, researchers hav...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 张峰程磊徐夏雨习昊天张旭徐建波王亚萌高洋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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