旋转机器临界速度值的概率分析,作为动态参数变化的函数
Zdenko Šavrnoch1, Milan Sapieta1, Vladimír Dekýš1
1Department of Applied Mechanics, Faculty of Mechanical Engineering, University of Zilina, Univerzitná 8215/1, 010 26 Zilina, Slovakia.
Sensors (Basel, Switzerland)
|July 13, 2024
概括
这项研究使用蒙特卡洛模拟来分析旋翼系统的不确定性. 概率方法对于稳固的旋转动力设计至关重要,它会影响制造公差和运行限制.
科学领域:
- 机械工程 机械工程
- 旋转机动力学 旋转机动力学
- 计算力学 计算力学 计算力学
背景情况:
- 现实世界的旋转动力系统面临着制造,材料和操作的不确定性.
- 这些不确定性可能会显著影响系统性能和稳定性.
- 需要一个强大的设计方法来考虑这些变化.
研究的目的:
- 调查不确定性对拉瓦尔/杰夫科特旋转机模型的影响.
- 为了证明蒙特卡洛模拟在旋翼动力学分析中的实用性.
- 为建立设计公差和操作限制提供见解.
主要方法:
- 使用MSC亚当斯视图和亚当斯洞察力进行模拟.
- 采用蒙特卡洛模拟来模拟不确定性.
- 嵌入了轴承阻尼,空隙和质量不平衡的概率分布.
主要成果:
- 揭示了临界速度和振动振幅的概率性质.
- 证明了不确定性对整体系统稳定性的影响.
- 量化了关键参数的影响,如轴承减压和质量失衡.
结论:
- 概率方法对于强大的旋转机动设计至关重要.
- 蒙特卡洛模拟为不确定性下的系统行为提供了宝贵的见解.
- 调查结果有助于设定现实的制造公差和操作指南.
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