基于激光超声的铝合金组织性能无损检测研究
Nondestructive testing of microstructure and properties of aluminum alloy based on laser ultrasound
徐值 1张泽文 1鲁宇杰 1郑磊 1廖文超 1张巨豪 1余卉卉 1殷安民1
作者信息
- 1. 宁波大学机械工程与力学学院,宁波 315211;宁波大学机械工程与力学学院浙江省零件轧制技术重点实验室,宁波 315211
- 折叠
摘要
目前对铝合金析出相和力学性能的检测主要采用扫描电镜(SEM)、透射电镜(TEM)、万能试验机等方式,费时费力且属于破坏性检测.采用激光超声无损检测技术对Al-Cu-Mg铝合金进行检测,通过变分模态分解法(Variational Modal Decomposition,VMD)对时域下的激光超声信号进行降噪处理,得到激光超声信号的衰减系数和声速等特征值,同时采用扫描电镜、电子背散射衍射(EBSD)、静拉伸实验获得Al-Cu-Mg铝合金的析出相和力学性能,将激光超声信号特征值与Al-Cu-Mg铝合金的析出相和力学性能进行耦合.结果发现:激光超声信号特征值与Al-Cu-Mg铝合金的析出相、晶粒尺寸、屈服强度以及显微硬度有较好的相关性.这为Al-Cu-Mg铝合金的微观组织和力学性能快速无损检测提供了 一种新方法.
Abstract
At present,scanning electron microscopy(SEM)and transmission electron microscopy(TEM)are mainly used to detect the precipitated phase and mechanical properties of aluminum alloy,which is time-consuming and laborious and destructive.In this paper,the laser ultrasonic nondestructive testing technique was used to detect Al-Cu-Mg aluminum alloy.By means of Variational Modal Decomposition(VMD),the noise reduction of the laser ul-trasonic signal in the time domain is processed,and the attenuation coefficient and sound velocity of the laser ultrasonic signal are obtained.The precipitated phase and mechanical properties of Al-Cu-Mg aluminum alloy were obtained by SEM,electron back scattering diffraction(EBSD)and static tensile test.The laser ultrasonic signal characteristic val-ues were coupled with the precipitated phase and mechanical properties of Al-Cu-Mg aluminum alloy.The results show that the characteristic value of laser ultrasonic signal has a good correlation with the precipitated phase,grain size,yield strength and microhardness of Al-Cu-Mg aluminum alloy.This provides a new method for rapid nonde-structive testing of microstructure and mechanical properties of Al-Cu-Mg aluminum alloy.
关键词
激光超声/铝合金/析出相/力学性能/无损评价Key words
laser ultrasonic/aluminum alloy/pre-cipitation/mechanical properties/nondestructive evalua-tion引用本文复制引用
基金项目
国家自然科学基金(51805279)
浙江省自然科学基金(LY21E050004)
宁波市科技创新重大专项(2025)(2022Z055)
出版年
2024
NETL
NSTL
万方数据