多晶材料散射模型及识别实验研究  

Ultrasonic scattering model and identification experiment of polycrystalline materials

作　　者：刘昱 贺西平[1] 贺升平 Liu Yu;He Xi-Ping;He Sheng-Ping(Shaanxi Key Laboratory of Ultrasonic,School of Physics and Information Technology,Shaanxi Normal University,Xi’an 710119,China;Luzhou High-tech Research Institute,Luzhou 646000,China)

机构地区：[1]陕西师范大学物理学与信息技术学院,陕西省超声重点实验室,西安710119 [2]泸州高新技术研究所,泸州646000

出　　处：《物理学报》2024年第3期134-142,共9页Acta Physica Sinica

基　　金：国家自然科学基金(批准号:12174241)资助的课题。

摘　　要：超声波识别在国防、军事、航空航天、核设施等高科技领域具有重要的应用价值.利用超声波可以实现对个体金属材料的识别,但现有研究侧重于识别材料超声信号差异的算法,缺乏识别机理.本文以2A12铝合金为例,利用6个晶粒在尺寸、形状、排布方向以及排列顺序不同时,建立了10个2A12铝合金微结构的初级模型,以此类比多晶金属材料的复杂微观结构.利用Comsol有限元软件仿真计算了金属材料不同微观结构中的超声波时域信号,并将回波信号中的的背向散射信号提取为超声指纹.定义了特征差异Q,量化了具有不同微结构的散射模型间的超声指纹的差异.结果表明,微观结构的细微变化也会导致超声信号出现差异,其中晶粒尺寸的变化对信号的影响更为显著.随后提出了超声识别算法,并对4块形状完全一致的2A12铝合金样品进行了识别实验.识别结果表明,利用超声指纹可以准确识别出目标样品,且各样品间的超声指纹有显著区别.最后对样品进行了扫描电子显微镜实验,所得电子显微镜图片显示了各样品真实微观结构的形貌与差异,证实了所建立的超声散射模型的有效性.Ultrasonic identification has an important application value for national defense,military affairs,aerospace,nuclear facilities and other high-tech fields.Ultrasonic waves can be used to identify any metal material.At present,the researches focus on algorithms for identifying the difference in ultrasonic signal among materials,but the study on the corresponding identification theory is lacking.In this work,10 primary models of the microstructure of 2A12 aluminum alloy are established as analogies to the complex microstructures of polycrystalline metallic materials.The grains of these models are different from each other in size,separation distance,shape,arrangement directions and orders.The time-domain ultrasonic echo signals of different microstructures are calculated by making use of the finite element method.The grass-like signals between two echoes are ultrasonic backscattering signals,which are sensitive to any change of microstructure.The backscattering signals between the primary echo and the secondary echo in the ultrasonic echo time domain signals are extracted as ultrasonic fingerprints.The feature difference Q is defined to quantify the difference in ultrasonic fingerprint of each sample.The results show that the slight variation in microstructure will lead to difference in ultrasonic signal,and the difference caused by the variation in grain size is more distinct.And then,an ultrasonic identification algorithm is proposed,and the identification experiments are conducted on four 2A12 aluminum alloy samples with the same shape.The identification results show that the target sample can be accurately identified by using ultrasonic fingerprints and the ultrasonic fingerprints of the target sample are distinctly different from those of the other samples.The microstructure morphologies of the samples are examined by using scanning electron microscopy(SEM).The SEM results show that there are significant differences in grain size,separation distance and densification between samples although they are the same

关 键 词：超声散射 微观结构 多晶材料 超声识别 有限元方法 

分 类 号：TG146.21[一般工业技术—材料科学与工程]