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碳纤维增强聚合物的钻井表面质量分析,基于声波发射特征

Mengke Yan¹, Yushu Lai¹, Yiwei Zhang²

¹Chongqing Engineering Research Center for Advanced Intelligent Manufacturing Technology, Chongqing Three Gorges University, Chongqing 404000, China.

|October 16, 2025

概括

本研究使用声辐射 (AE) 和红外热学 (IT) 来监测碳纤维增强聚合物 (CFRP) 钻井过程中的损伤. 这些发现可以实时检测缺陷,提高CFRP加工质量.

科学领域:

材料科学材料科学材料科学
制造业工程制造工程
非破坏性测试不破坏性测试

背景情况:

碳纤维增强聚合物 (CFRP) 由于其特性,在航空航天领域至关重要.
制孔是一种主要的CFRP加工方法,但容易出现缺陷,如分层和纤维撕裂.
这些缺陷损害了CFRP组件的结构完整性和性能.

研究的目的:

调查CFRP钻井过程实时监控的可行性.
在CFRP钻井过程中分析声辐射 (AE) 和红外热学 (IT) 信号.
为了建立钻井参数,AE信号和由此产生的孔质量之间的相关性.

主要方法:

采用声辐射 (AE) 和红外热学 (IT) 来获取信号.
使用快速里叶变换 (FFT) 和短时间里叶变换 (STFT) 进行AE信号分析.
与观察到的损伤形态相关的信号特征 (时间频率,RMS).

主要成果:

AE信号时间频率图和RMS曲线有效区分钻探阶段.
在AE信号中特定的频率范围被确定为CFRP钻井损伤模式.
建立了AE信号RMS值和洞表面地形之间的关系.

结论:

使用AE和IT,可以实时监控CFRP钻井.
通过AE信号分析,可以准确识别钻井缺陷.
这项研究为在线监控和提高CFRP加工质量提供了一种新的方法.

关键词:

声学排放的声音排放.碳纤维增强聚合物 (CFRP) 的使用损害的识别损害的识别钻探钻探钻探钻探信号处理信号处理信号处理

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