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高功率密度斜向支柱锥齿轮辐板结构设计优化

郝文康 李坚 文长龙 孟卫华 闫成

南京航空航天大学学报(英文版)2024,Vol.41Issue(1):76-87,12.
南京航空航天大学学报(英文版)2024,Vol.41Issue(1):76-87,12.DOI:10.16356/j.1005-1120.2024.01.006

高功率密度斜向支柱锥齿轮辐板结构设计优化

Optimal Design of a Tilting Prop Bevel Gear Spoke Plate Structure with High Power Density

郝文康 1李坚 2文长龙 2孟卫华 2闫成1

作者信息

  • 1. 厦门大学航空航天学院,厦门 361102,中国
  • 2. 中国航发湖南航空动力研究所直升机传动技术国家级重点实验室,株洲 412002,中国
  • 折叠

摘要

Abstract

To meet the urgent need for the lightweight design of gears under complex conditions in helicopter transmission systems,a design optimization method is proposed for a tilting prop bevel gear spoke plate structure with a high power density.Based on the variable density method considering stress constraints,topology optimization and reconstruction of the bevel gear spoke plate structure are performed,which yield a novel tilting prop bevel gear spoke plate structure with a high power density,differing from the traditional configuration.Introducing an evolution factor and the Markov chain based on the traditional particle swarm optimization(PSO)algorithm,an intelligent and advanced switching delayed PSO(SDPSO)algorithm is developed.The SDPSO algorithm can adaptively select switching strategies and delay information,and it is employed for the size optimization of a tilting prop bevel gear spoke plate structure.After optimization,the mass of the bevel gear spoke plate is reduced by 19.24%,and the maximum von Mises stress of all the operating conditions is reduced by 7.27%.Additionally,the stress distribution of each operating condition becomes more uniform,which demonstrates the structural advantages of the designed bevel gear spoke plate and the superiority of the proposed optimization method.

关键词

粒子群优化算法/拓扑优化/尺寸优化/锥齿轮辐板

Key words

particle swarm optimization(PSO)algorithm/topology optimization/size optimization/bevel gear spoke plate

分类

航空航天

引用本文复制引用

郝文康,李坚,文长龙,孟卫华,闫成..高功率密度斜向支柱锥齿轮辐板结构设计优化[J].南京航空航天大学学报(英文版),2024,41(1):76-87,12.

基金项目

This work was co-supported by the National Natural Science Foundation of China(No.52005421),the Natural Science Foundation of Fujian Prov-ince of China(No.2020J05020),the National Science and Technology Major Project,China(No.J2019-I-00130013),the Fundamental Research Funds for the Central Universi-ties,China(No.20720210090),and the China Postdoctoral Science Foundations(Nos.2020M682584 and 2021T140634). (No.52005421)

南京航空航天大学学报(英文版)

OACSTPCD

1005-1120

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