Fast and high-resolution laser-ultrasonic imaging for visualizing subsurface defects in additive manufacturing components

材料科学 光栅扫描 超声波传感器 激光器 可视化 光学 制作 光栅图形 声学 超声波检测 计算机科学 人工智能 医学 物理 病理 替代医学
作者
Gaolong Lv,Zhijun Yao,Dan Chen,Yehai Li,Huanqing Cao,Anmin Yin,Yanjun Liu,Shifeng Guo
出处
期刊:Materials & Design [Elsevier BV]
卷期号:225: 111454-111454 被引量:27
标识
DOI:10.1016/j.matdes.2022.111454
摘要

Additive manufacturing (AM) is an emerging technique for efficient fabrication of individually tailored and complex geometry parts. The fabrication process is prone to induce various defects that can have detrimental effects on the AM components. Therefore, a reliable technique that enables monitoring the integrity of AM components and in return helping to optimize the fabrication parameters in mission-critical structures is highly demanded. This work presents a fast and high-resolution damage visualization method using laser-ultrasonic (LU) imaging technique for accurately detecting and quantifying the subsurface defects in printed AM components. Specifically, a fully noncontact LU scanning system is implemented to generate and detect high signal-to-noise ratio laser ultrasonic waves using a pulsed laser and laser Doppler vibrometer, respectively. A strategy for fast defect localization using Rayleigh waves with circular scans is firstly proposed. The high-resolution 3D synthetic aperture focusing technique (SAFT) imaging with raster scans is subsequently performed focusing around the located damage areas to stereoscopically visualize and quantify the subsurface defects. The reconstructed images are further processed and improved using Gaussian filter algorithm to obtain accurate defect shapes, sizes, and positions. The feasibility of the proposed method is eventually verified on AlSi10Mg and stainless steel (316L) components containing subsurface defects with various types and dimensions. The measured sizes are well consistent with the designed values, suggesting that it is a reliable inspection method for AM parts to ensure quality control and feedback.
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