高级检索

    基于VMD分解的激光超声增材制件表面缺陷检测

    Surface defect detection of additive parts using laser ultrasonic based on VMD decomposition

    • 摘要: 增材制造作为新一轮工业革命的标志性技术之一,被世界各国列为未来产业发展的新增长点进行重点培育。但是在增材制造加工过程中,其表面质量难以控制,易产生缺陷。利用激光超声纵波对增材缺陷试件进行对心检测,同时采用变分模态分解方法对缺陷信号进行处理。试验结果表明,该方法可以明显提高缺陷信号信噪比,实现对增材制件的有效检测,为增材制件在线检测打下坚实基础。

       

      Abstract: As one of the landmark technologies of the new round of industrial revolution, additive manufacturing is listed as a new growth point of future industrial development by all countries in the world. However, it is difficult to control the surface quality and easy to produce defects in the process of additive manufacturing. In this paper, the laser ultrasonic longitudinal wave detection method was used to detect the additive defect test block, and the variational mode decomposition method was used to process the defect signal. The results showed that the proposed method can significantly improve the signal-to-noise ratio of the defect signal, effectively detect the additive parts, and lay a solid foundation for the online detection of additive parts.

       

    /

    返回文章
    返回