使用压力分解框架从稀疏的实验数据中识别受限孔流的噪声
Haoyuan Zhang1,2, Fuqi Li1,2,3, Peng Wang1,2
1Turbomachinery Institute, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
The Journal of the Acoustical Society of America
|May 2, 2025
概括
这项研究引入了一个新的框架,将水力动力学和声学噪声从石版制作过程中分离出来. 该方法有效地识别了流动引起的噪声,有助于更好地理解和控制声学现象.
科学领域:
- 声学 声学 在声学上
- 流体动力学 流体动力学
- 信号处理 信号处理
背景情况:
- 石版画中的流量诱导噪声给精密制造带来了挑战.
- 稀缺的声学数据往往使噪音来源的识别变得复杂.
- 分离水力动力学和声学元件对于降低噪声至关重要.
研究的目的:
- 提出压力分解框架,以分离水力动力和声学信号.
- 为了识别与光刻相关的封闭孔中的流动诱导噪声.
- 分析压力脉冲的产生机制.
主要方法:
- 开发了一个三步框架:峰值检测,模式分解和组件识别.
- 使用了光谱分析和光谱正确直角分解 (SPOD).
- 采用波数-频谱分析,并解决了线性化纳维埃-斯托克斯方程的固有值问题.
主要成果:
- 成功地将合的水力动力学和声学压力重建成模态表示.
- 在压力脉冲中确定了四个特征区域,在低中频率中声组件占主导地位.
- 揭示了分解的声压具有较低的衰减因子,使得远距离传播.
结论:
- 拟议的框架有效地将水力动力学和声学组件从稀疏的数据中分离出来.
- 声学组件与大规模的结构相连,以最小的损失传播.
- 该研究提供了对石版系统中的噪声产生机制的见解.
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