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Optimal design of sealing structure of vehicular radar case door
Author(s) -
Jicheng Zhang,
Haitao Hua
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2206/1/012014
Subject(s) - radar , latin hypercube sampling , reliability (semiconductor) , structural engineering , genetic algorithm , finite element method , engineering , antenna (radio) , sensitivity (control systems) , sample (material) , stress (linguistics) , deformation (meteorology) , surrogate model , optimal design , computer science , electronic engineering , materials science , aerospace engineering , telecommunications , mathematics , philosophy , linguistics , chemistry , power (physics) , chromatography , quantum mechanics , machine learning , monte carlo method , statistics , physics , composite material
The quality of antenna array environment control technology directly affects the reliability and service life of vehicular radar. The structure design of case door sealing is an important part of the environmental control technology of vehicular radar. The stress distribution analysis of case door sealing structure of vehicular radar antenna is carried out in this paper. Maximum stress of double-peaked sealing ring and stress distribution and deformation of case door panel are investigated through finite element analysis based on ABAQUS. In order to increase the reliability of sealing structure, the section size of double-peaked sealing ring and the spacing length of fasteners are optimized by the way of co-simulation optimal design method using ISIGHT. Through radial basis function neural network surrogate model, which is built based on Latin hypercube sample algorithm, the sensitivity of each optimization variable is analyzed. Meanwhile the optimal section size of double-peaked sealing ring and spacing length are obtained through non-dominated sorting genetic algorithm.

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