一种基于其尺寸的喷气发动机轮机叶片自然频率估计的新方法
Miroslav Spodniak1, Michal Hovanec1, Peter Korba1
1Faculty of Aeronautics, Technical University of Kosice, Rampova 7, 041 21, Kosice, Slovakia.
Heliyon
|February 20, 2024
概括
一种新方法使用维度数据估计喷气发动机轮机叶片的自然频率,减少了测试时间和成本. 这种方法结合了计算机辅助设计,有限元素建模和人工神经网络,以准确预测.
科学领域:
- 航空航天工程 航空航天工程
- 机械工程 机械工程
- 计算科学 计算科学
背景情况:
- 准确的自然频率估计对于喷气发动机轮机叶片的设计和制造至关重要.
- 传统的实验测试方法耗时且昂贵.
- 现有的方法可能缺乏基于物理维度预测自然频率的效率.
研究的目的:
- 开发一种新的,快速和准确的方法来估计喷气发动机轮机叶片的自然频率.
- 利用维度数据来预测自然频率,绕过广泛的实验程序.
- 为轮机叶片分析提供一个具有成本和时间效率的替代方案.
主要方法:
- 计算机辅助设计 (CAD) 和有限元模型 (FEM) 的整合.
- 人工神经网络 (ANN) 的应用用于预测分析.
- 开发一种新的方法,将维度测量与自然频率相关联.
主要成果:
- 这种新的方法准确地预测了使用维度数据的轮叶片自然频率.
- 最大预测错误始终低于1.5%.
- 该方法实现了快速预测时间 (0.0051秒),比实验测试快得多.
结论:
- 开发的方法为自然频率估计提供了高度准确和高效的方法.
- 这种技术可以显著减少喷气发动机制造商的制造过程时间和成本.
- 这种专利的方法为确保轮叶片的完整性和防止共振问题提供了有价值的工具.
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