基于GSA-SA算法进行的轮轮振动优化
Linyue Qiu1,2, Xiangying Hou1,2, Shushen Gao1,2
1College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China.
PloS one
|November 1, 2023
概括
这项研究使用混合算法优化了轮设计参数,显著降低了振动. 同时优化附录和配置修改为轮传动系统带来了卓越的结果.
科学领域:
- 机械工程 机械工程
- 振动分析 振动分析
- 部落学 (tribology) 是一个学科.
背景情况:
- 刺激轮是许多机械系统中的关键组件.
- 轮振动会影响性能和寿命.
- 优化设计参数对于减少噪音和磨损至关重要.
研究的目的:
- 为了建立一个最佳的设计,刺激轮,以最大限度地减少振动.
- 评估用于轮设计的混合优化算法的有效性.
- 为了比较优化单个与多个设计参数的影响.
主要方法:
- 开发了一个六度自由度振动分析模型,用于轮轮对.
- 采用重力搜索模拟化 (GSA-SA) 混合算法进行优化.
- 对于目标函数,使用了结合的G1方法和变化系数方法.
主要成果:
- 优化的设计参数有效地降低了螺杆轮对的振动水平.
- 同时优化附录修改系数和配置文件修改参数的优化被证明比个别优化更有效.
- GSA-SA算法在减少振动方面表现出显著的有效性.
结论:
- 拟议的优化方法成功地减少了轮传动中的振动.
- 添加物和配置文件修改的联合优化提供了优越的振动降低.
- 这种方法适用于汽车和造船行业的振动优化.
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