Laser ultrasonic inspection of internal porosity defects in AlSi10Mg additive manufacturing components

Huan Xi , Xiao Wang , Zheng Wang , Yuanyi Zhang
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引用次数: 0

Abstract

Additive Manufacturing (AM) technology is recognized as a pivotal direction for future technological and industrial advancement. Nevertheless, inherent to the manufacturing process are defects such as pores, inclusions, lack of fusion, and layering, which pose significant threats to product quality and safety, thereby serving as significant obstacles to the widespread adoption of additive manufacturing technology. Consequently, in recent years, non-destructive testing techniques for additive manufacturing products have gained considerable attention in research.

This paper focuses on components manufactured using the Laser Metal Deposit (LMD) process with AlSi10Mg material. Through a combination of finite element simulations and experimental analysis, this study compares and analyzes the propagation of laser ultrasound within AM components. By examining the characteristics of shear wave reflection signals from internal defects in AM components, a defect quantification method based on a laser ultrasonic (LU) inspection system is proposed. The research findings indicate that this method is capable of detecting sub-millimeter-level internal defects within AM components. Extracting the shear wave reflection signals from defects, enables quantitative assessment of the location and depth of internal defects in AM components.

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激光超声波检测 AlSi10Mg 增材制造部件的内部孔隙缺陷
增材制造(AM)技术被认为是未来技术和工业进步的一个关键方向。然而,制造过程中固有的缺陷,如气孔、夹杂物、未熔合和分层等,对产品质量和安全构成重大威胁,从而成为增材制造技术广泛应用的重大障碍。因此,近年来,针对增材制造产品的无损检测技术在研究中获得了极大的关注。本文重点关注使用激光金属沉积(LMD)工艺制造的铝硅镁材料部件。通过结合有限元模拟和实验分析,本研究对激光超声波在增材制造部件内的传播进行了比较和分析。通过研究来自 AM 组件内部缺陷的剪切波反射信号的特征,提出了一种基于激光超声(LU)检测系统的缺陷量化方法。研究结果表明,这种方法能够检测 AM 组件内部亚毫米级的缺陷。通过提取缺陷的剪切波反射信号,可以对 AM 组件内部缺陷的位置和深度进行定量评估。
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来源期刊
International Journal of Lightweight Materials and Manufacture
International Journal of Lightweight Materials and Manufacture Engineering-Industrial and Manufacturing Engineering
CiteScore
9.90
自引率
0.00%
发文量
52
审稿时长
48 days
期刊最新文献
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