题名 | Fast and high-resolution laser-ultrasonic imaging for visualizing subsurface defects in additive manufacturing components |
作者 | |
通讯作者 | Guo, Shifeng |
发表日期 | 2023-01
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DOI | |
发表期刊 | |
ISSN | 0264-1275
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EISSN | 1873-4197
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卷号 | 225 |
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. © 2022 The Authors |
关键词 | |
相关链接 | [来源记录] |
收录类别 | |
语种 | 英语
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学校署名 | 其他
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资助项目 | This work was supported in part by the National Natural Science Foundation of China (Grant No. U2133213, 52071332), in part by the Department of Science and Technology of Guangdong Province (Grant No. 2019QN01H430, 2019TQ05Z654), in part by the Guangdong Basic and Applied Basic Research Foundation (Grant No. 2022A1515010691, 2020A1515110218), in part by the Science and Technology Innovation Commission of Shenzhen (Grant No. ZDSYS20190902093209795, JCYJ20220818101215033, JCYJ20210324101200002).
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WOS研究方向 | Materials Science
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WOS类目 | Materials Science, Multidisciplinary
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WOS记录号 | WOS:000908051200004
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出版者 | |
EI入藏号 | 20225013228292
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EI主题词 | 3D printers
; Additives
; Damage detection
; Defects
; Focusing
; Image enhancement
; Pulsed lasers
; Signal to noise ratio
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EI分类号 | Information Theory and Signal Processing:716.1
; Lasers, General:744.1
; Printing Equipment:745.1.1
; Chemical Agents and Basic Industrial Chemicals:803
; Materials Science:951
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ESI学科分类 | MATERIALS SCIENCE
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来源库 | EV Compendex
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引用统计 |
被引频次[WOS]:17
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成果类型 | 期刊论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/519709 |
专题 | 工学院_电子与电气工程系 |
作者单位 | 1.Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen; 518055, China 2.Guangdong Provincial Key Lab of Robotics and Intelligent System, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen; 518055, China 3.University of Chinese Academy of Sciences, Beijing; 100049, China 4.Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic, Shenzhen; 518055, China 5.School of Mechanical Engineering and Mechanics, Ningbo University, Zhejiang, Ningbo; 315211, China 6.Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen; 518055, China |
推荐引用方式 GB/T 7714 |
Lv, Gaolong,Yao, Zhijun,Chen, Dan,et al. Fast and high-resolution laser-ultrasonic imaging for visualizing subsurface defects in additive manufacturing components[J]. Materials and Design,2023,225.
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APA |
Lv, Gaolong.,Yao, Zhijun.,Chen, Dan.,Li, Yehai.,Cao, Huanqing.,...&Guo, Shifeng.(2023).Fast and high-resolution laser-ultrasonic imaging for visualizing subsurface defects in additive manufacturing components.Materials and Design,225.
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MLA |
Lv, Gaolong,et al."Fast and high-resolution laser-ultrasonic imaging for visualizing subsurface defects in additive manufacturing components".Materials and Design 225(2023).
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