数据驱动的多目标优化方法,用于航空航天螺旋 bevel 轮的负载网状传输性能
Zhenyu Zhou1,2, Wen Shao1, Jinyuan Tang1
1State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, Changsha 410083, China.
Materials (Basel, Switzerland)
|March 13, 2024
概括
本研究介绍了一种数据驱动的多目标优化 (MOO) 方法,用于航空航天螺旋形轮. 这种方法提高了轮性能,通过精确的机床设置来确保低噪音和高强度.
科学领域:
- 机械工程 机械工程
- 航空航天工程 航空航天工程
- 计算力学 计算力学 计算力学
背景情况:
- 优化负载网状传输性能对于航空航天螺旋形轮至关重要,重点是低噪音和高强度.
- 现有的轮设计和制造方法在实现所需的性能指标方面面临挑战.
- 数据驱动的方法为轮优化提供了提高精度和效率的潜力.
研究的目的:
- 为航空航天螺旋形轮提出一个创新的数据驱动的多目标优化 (MOO) 方法.
- 为了提高负载网格传输性能优化的准确性和效率.
- 为确定精确的机床设置提供强大的方法.
主要方法:
- 数据驱动的牙表面建模用于负载接触点的曲率分析.
- 数字加载牙接触分析 (NLTCA) 以建立机床设置和性能之间的数据驱动关系.
- 使用成就函数方法解决MOO函数,以获得准确的输出.
主要成果:
- 成功应用数据驱动的牙表面建模和NLTCA.
- 开发机床设置和轮性能评估之间的准确关系.
- 通过数值示例验证拟议的方法.
结论:
- 与传统技术相比,拟议的数据驱动的MOO方法提供了更高的计算精度和效率.
- 这种方法为优化航空航天螺旋形轮的负载网状传动性能提供了一个强大的工具.
- 该方法方便实现对低噪声和高强度轮设计的规定的要求.
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