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标准基于传感器的实验测试仪器的动态校准,用于准确的材料模型参数识别

Giuseppe Catania¹, Stefano Amadori²

¹Department of Industrial Engineering (DIN), Ciri-Mam, University of Bologna, Viale Risorgimento 2, 40136 Bologna, Italy.

Sensors (Basel, Switzerland)

|April 12, 2025

概括

一种新的信号处理方法对动态机械分析仪 (DMA) 系统进行校准,以精确识别材料属性. 这种校准提高了实验测试中的材料模型参数确定精度.

科学领域:

机械工程机械工程
材料科学材料科学材料科学
信号处理信号处理

背景情况:

动态机械分析 (DMA) 系统对于材料表征至关重要.
标准的DMA校准方法可能无法完全考虑系统动态.
准确的材料参数识别依赖于精确的实验测量.

研究的目的:

为传感式DMA测试系统引入一种基于信号处理的新校准程序.
为了提高材料模型参数识别的准确性.
为了解决测试系统框架和固定装置的动态贡献.

主要方法:

开发了仪表架和样品的多度自由度动态模型.
使用代数数字技术实施了一个框架识别程序.
利用了已知材料的多个样本的测量结果,但几何形状不同.

主要成果:

成功确定了仪表架的准确动态模型.
证明,拟议的校准程序显著提高了材料模型识别的准确性.
通过实验应用示例验证了该技术.

结论:

建议的基于信号处理的校准对于传感器DMA系统是有效的.
准确的系统框架建模对于精确的材料表征至关重要.
这种方法为从实验测试中获得更可靠的材料性质数据提供了一条途径.

关键词:

动态模型识别动态模型识别非破坏性的实验测量.测试校准测试测试校准

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