通过激光测振仪确定底板共振频率:EMA、有限元分析和 CrossMac 验证

Andrei-Florentin Vasiliu, Eduard-Sebastian Csukas, Paul-Iulian Virga, Daniel Comeaga
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引用次数: 0

摘要

这篇论文隐含的重点是通过使用实验模态分析(EMA)和有限元分析(FEA)验证显示器底板组件内的组件特征频率、模态形状和阻尼特性。随后,使用 Ansys 软件对物理测量之前获得的三维组件模态模拟结果进行分析,提取特征频率和模态振型。这种基本工程方法与激光测振仪监测系统一起用于研究结构和系统的动态行为,了解振动现象,通过直接测量提取线性弹性机械特性,帮助评估基准线设计结构的完整性,从而优化进一步的设计。随后,将从 EMA 和 FEA 中获得的共振频率输入 Ansys 软件,使用交叉模态保证准则(CrossMac)方法进行比较研究,揭示两者之间的一致程度。比较分析表明,根据激光测振仪监测获得的实验特征频率与有限元分析获得的特征频率之间存在明显的相关性,这证实了 CrossMac 方法在预测受测部件模态特性方面的精确性和实用性。通过这种方法进行的验证增强了人们对 EMA 与激光测振仪监测和有限元分析相结合的方法的信心,突出了这种组合的重要性,有助于加深对动态结构行为的理解,并努力使其不断完善。
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Base plate resonance frequencies determination via a laser vibrometer: EMA, FEA, and CrossMac validation
The paper in question implicitly focusses on validating component eigen frequencies, modal shapes, and damping characteristics within a display base plate component by using experimental modal analysis (EMA) and finite element analysis (FEA). Following this, a 3D component modal simulation results obtained prior physical measurements was performed using Ansys software, extracting eigen frequencies and modal shapes. This fundamental engineering method together with a laser vibrometer monitoring system was used to investigate structures and systems dynamic behavior, understanding vibration phenomena, extracting linear elastic mechanical proprieties through direct measurements, aiding in evaluating base line design structural integrity with the purpose of optimizing the further design. Subsequently, the resonance frequencies obtained from both EMA and FEA were input into Ansys software to perform a comparative study using the Cross Modal Assurance Criterion (CrossMac) method, revealing the level of agreement between them. The comparative analysis revealed a significant correlation between the experimentally eigen frequencies obtained based on laser vibrometer monitoring and obtained by FEA, confirming the precision and utility of the CrossMac method in anticipating the modal characteristics of the tested component. The validation carried out through this method strengthens confidence in the combined approach of EMA with laser vibrometer monitoring and FEA, highlighting the importance of this combination, for a dynamical structural deeper behavior understanding and to strive towards its continual improvement to perfection.
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