TC6钛合金锻件超声检测信号滤波方法对比分析  

Comparison and Analysis of Filtering Methods for Ultrasonic Testing Signals of TC6 Titanium Alloy Forgings

作　　者：陈乐[1] CHEN Le

机构地区：[1]上海市特种设备监督检验技术研究院,上海200062

出　　处：《上海化工》2023年第1期32-36,共5页Shanghai Chemical Industry

基　　金：上海市市场监督管理局科技项目(2022-29)。

摘　　要：对TC6钛合金锻件等粗晶材料实施超声波检测时,粗晶粒对声束有较强的散射作用,会导致噪声信号幅值较高而回波信号幅值降低,一定情况下会导致微小缺陷回波信号被噪声信号覆盖,造成缺陷漏检。对此,可采用合适的信号滤波降噪方法,提高超声信号信噪比。采用仿真及试验分别获得含有噪声的缺陷信号,采用常用信号滤波方法降噪后进行定量分析对比,发现维纳滤波在粗晶材料超声检测信号滤波中应用效果相对较好,可提高微小缺陷的检出率。When ultrasonic testing is carried out on coarse-grained materials such as TC6 titanium alloy forgings,the coarse grains have strong scattering effect on the sound beam,which will lead to a higher amplitude of noise signal and a lower amplitude of echo signal.In some cases,the echo signal of small defects will be covered by that of noise,resulting in undetected error.Therefore,appropriate signal filtering and noise reduction methods can be adopted to improve the signal-to-noise ratio of ultrasonic signals.In this paper,the defect signals containing noise are obtained by simulation and experiment respectively,and the quantitative analysis and comparison are made after noise reduction by common signal filtering methods.It is concluded that Wiener filtering has relatively good application effect in ultrasonic testing signal filtering of coarse-grained materials,which can improve the detection rate of small defects.

关 键 词：粗晶材料 超声检测 维纳滤波 

分 类 号：TB553[理学—物理]