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碳钢-不锈钢复合层的超声回波增强与测厚研究

Research on ultrasonic echo enhancement and thickness measurement of carbon steel-stainless steel composite layer

  • 摘要: 针对碳钢-不锈钢双层金属复合结构中声阻抗差异小、界面反射信号微弱、难以识别的问题,本文提出了一种面向碳钢-不锈钢复合结构界面声阻抗差异小的巴克码调制信号激励方法,并开展了双层金属复合结构的测厚仿真研究。通过设计三种不同的激励信号(纯正弦、巴克码调制正弦、加窗巴克码调制正弦),在引入噪声的条件下进行稳定性对比分析,并将最优信号用于厚度测量仿真。仿真中采用局部网格细化与高频激励以增强界面反射波,后处理采用匹配滤波与局部放大方法以提高回波识别能力。结果表明,加窗的13位巴克码信号在多次加噪扰动下表现出更好的鲁棒性,最终实现了多厚度条件下的稳定回波识别与厚度估计。本文对界面弱回波环境下的超声波传播特性与测厚流程的研究为超声检测提供了一种可行方法。

     

    Abstract: To address the challenges posed by small acoustic impedance differences, weak interface reflection signals, and poor identification capability in double-layer metal composite structures composed of carbon steel and stainless steel, this study proposes a Barker code-modulated excitation method. Simulation-based thickness measurement is conducted on such composites with small interfacial acoustic impedance mismatches. Three excitation signals—namely, a pure sine wave, a Barker code-modulated sine wave, and a windowed Barker code-modulated sine wave—are designed. A stability comparison under noisy conditions is performed, and the optimal signal is selected for thickness measurement simulation. To enhance interface reflection waves, local mesh refinement and high-frequency excitation are employed in the simulations. In post-processing, matched filtering and localized amplification are applied to improve echo recognition. Results show that the 13-bit windowed Barker code signal exhibits superior robustness against multiple noise disturbances. Stable echo recognition and accurate thickness estimation are achieved across various thickness configurations. This work investigates ultrasonic propagation characteristics and thickness measurement procedures in weak-echo interfacial environments, providing a feasible approach for ultrasonic testing of such composite structures.

     

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