ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Three-dimensional measurement method of geometric morphology in laser metal deposition forming process using ultraviolet structured light
Received date: 2023-10-13
Revised date: 2023-11-07
Accepted date: 2023-12-25
Online published: 2023-12-26
Supported by
Sichuan Science and Technology Program(2023YFG0181);The Ministry of Education’s “Chunhui Plan” Collaborative Research Project(2020703-8)
Laser metal deposition technology in the field of metal additive manufacturing has the application environment of strong light and radiation, which leads to the lack of means to obtain the 3D information of real-time geometric morphology of parts. To observe the forming process of metal layered discrete stacking, a real-time measurement method based on ultraviolet structured light for the measurement of three-dimensional geometric information in laser metal deposition forming process was proposed. Firstly, the radiation wavelength of metal powder under the action of laser and the ambient interference light such as laser were analyzed. Then the narrow-band interference free optical path in the optional UV band and jittered binary fringe grating are designed to ensure high-quality modulated fringe images. Secondly, the Fourier transform method is used to filter the fundamental frequency information of the object surface modulation in the frequency domain. The wrapped phase information is obtained through the inverse Fourier transform, and the absolute phase calculation is realized with the flood filling algorithm. Finally, according to the principle of stereo vision, the phase is used as dense matching auxiliary information to achieve high-precision 3D data calculation. In the real environment of metal additive manufacturing, the three-dimensional measurement average error of the proposed method is verified to be less than 0.1 mm through the measurement of standard parts. The observation experiments on the printing process of metal parts show that this method can be used to observe the changes of geometric information within and between the layers in the forming process of additive manufacturing. The results also show that this method can meet the online dimension measurement and analysis requirements for layer thickness accumulation process ranging 0.2-1.0 mm during the forming of parts. Consequently, it provides detailed intermediate data support for real-time closed-loop feedback and internal defect mechanism analysis of laser metal deposition technology.
Zeyu SONG , Junpeng XUE , Zhichao XU , Wenbo LU , Min WANG , Ran JIA , Changzhi YU . Three-dimensional measurement method of geometric morphology in laser metal deposition forming process using ultraviolet structured light[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(18) : 429722 -429722 . DOI: 10.7527/S1000-6893.2023.29722
1 | 张柯. 面向增材制造的双目视觉三维重建若干关键技术研究[D]. 武汉: 华中科技大学, 2020. |
ZHANG K. Research on technologies of three-dimensional reconstruction of binocular vision for additive manufacturing[D]. Wuhan: Huazhong University of Science and Technology, 2020 (in Chinese). | |
2 | 赵剑峰, 马智勇, 谢德巧, 等. 金属增材制造技术[J]. 南京航空航天大学学报, 2014, 46(5): 675-683. |
ZHAO J F, MA Z Y, XIE D Q, et al. Metal additive manufacturing technique[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2014, 46(5): 675-683 (in Chinese). | |
3 | 倪江涛, 隋阳, 刘涵, 等. 增材制造技术在国外航天动力系统中的应用[J]. 导弹与航天运载技术, 2022(3): 144-146, 152. |
NI J T, SUI Y, LIU H, et al. Applications of additive manufacturing in foreign aerospace propulsion systems[J]. Missiles and Space Vehicles, 2022(3): 144-146, 152 (in Chinese). | |
4 | 赵晋. 基于结构光系统的复杂增材制造件三维质量检测方法研究[D]. 北京: 北京工业大学, 2019. |
ZHAO J. Research on 3D quality inspection method for complex additive manufacturing parts based on structured light sensor[D]. Beijing: Beijing University of Technology, 2019 (in Chinese). | |
5 | WANG R X, LAW A C, GARCIA D, et al. Development of structured light 3D-scanner with high spatial resolution and its applications for additive manufacturing quality assurance[J]. The International Journal of Advanced Manufacturing Technology, 2021, 117(3): 845-862. |
6 | 郭政亚, 熊振华. 金属增材制造缺陷检测技术[J]. 哈尔滨工业大学学报, 2020, 52(5): 49-57. |
GUO Z Y, XIONG Z H. Defect detection technology in metal additive manufacturing[J]. Journal of Harbin Institute of Technology, 2020, 52(5): 49-57 (in Chinese). | |
7 | 肖明颖, 范振红, 高华兵, 等. 金属增材制造在线监测/检测技术的研究进展[J]. 热加工工艺, 2020, 49(24): 1-7. |
XIAO M Y, FAN Z H, GAO H B, et al. Research progress of on-line monitoring/inspection technology for metal additive manufacturing[J]. Hot Working Technology, 2020, 49(24): 1-7 (in Chinese). | |
8 | WALLER J M, SAULSBERRY R L, PARKER B H, et al. Summary of NDE of additive manufacturing efforts in NASA[C]∥AIP Conference Proceedings. New York: AIP Publishing LLC, 2015, 1650: 51-62. |
9 | 季苏苏. 金属增材制造表面及亚表面缺陷的高频超声检测技术研究[D]. 南京: 东南大学, 2021. |
JI S S. Investigation on high frequency ultrasonic testing technology of surface and subsurface defects in metal additive manufactured parts[D].Nanjing: Southeast University, 2021 (in Chinese). | |
10 | 陈樱莹. 面向金属增材制造过程的零件三维形貌测量技术研究[D]. 南京: 南京航空航天大学, 2018. |
CHEN Y Y. Research on 3D shape measurement of parts for metal additive manufacturing process[D].Nanjing: Nanjing University of Aeronautics and Astronautics, 2018 (in Chinese). | |
11 | 苏显渝, 张启灿, 陈文静. 结构光三维成像技术[J]. 中国激光, 2014, 41(2): 0209001. |
SU X Y, ZHANG Q C, CHEN W J. Three-dimensional imaging based on structured illumination[J]. Chinese Journal of Lasers, 2014, 41(2): 0209001 (in Chinese). | |
12 | 孙园, 李大心. 相位测量轮廓术的应用现状及发展趋势[J]. 无损检测, 2006, 28(3): 130-132. |
SUN Y, LI D X. Application and development of phase measuring profilometry[J]. Nondestructive Testing, 2006, 28(3): 130-132 (in Chinese). | |
13 | 张宗华, 刘巍, 刘国栋, 等. 三维视觉测量技术及应用进展[J]. 中国图象图形学报, 2021, 26(6): 1483-1502. |
ZHANG Z H, LIU W, LIU G D, et al. Overview of the development and application of 3D vision measurement technology[J]. Journal of Image and Graphics, 2021, 26(6): 1483-1502 (in Chinese). | |
14 | TAKEDA M, INA H, KOBAYASHI S. Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry[J]. Journal of the Optical Society of America (1917-1983), 1982, 72(1): 156. |
15 | SU X Y, CHEN W J. Reliability-guided phase unwrapping algorithm: A review[J]. Optics and Lasers in Engineering, 2004, 42(3): 245-261. |
16 | XING Y, QUAN C, TAY C J. A modified phase-coding method for absolute phase retrieval[J]. Optics and Lasers in Engineering, 2016, 87: 97-102. |
17 | XUE J P, ZHANG Q C, LI C H, et al. 3D face profilometry based on galvanometer scanner with infrared fringe projection in high speed[J]. Applied Sciences, 2019, 9(7): 1458. |
18 | LI L, ZHENG Y, YANG K, et al. Modified three-wavelength phase unwrapping algorithm for dynamic three-dimensional shape measurement[J]. Optics Communications, 2021, 480: 126409. |
19 | ZUO C, QIAN J M, FENG S J, et al. Deep learning in optical metrology: A review[J]. Light: Science & Applications, 2022, 11: 39. |
20 | ZHANG B, ZIEGERT J, FARAHI F, et al. In situ surface topography of laser powder bed fusion using fringe projection[J]. Additive Manufacturing, 2016, 12: 100-107. |
21 | KALMS M, NARITA R, THOMY C, et al. New approach to evaluate 3D laser printed parts in powder bed fusion-based additive manufacturing in-line within closed space[J]. Additive Manufacturing, 2019, 26: 161-165. |
22 | O’DOWD N M, WACHTOR A J, TODD M D. Effects of digital fringe projection operational parameters on detecting powder bed defects in additive manufacturing[J]. Additive Manufacturing, 2021, 48: 102454. |
23 | ZHANG H L, VALLABH C K P, XIONG Y B, et al. A systematic study and framework of fringe projection profilometry with improved measurement performance for in situ LPBF process monitoring[J]. Measurement, 2022, 191: 110796. |
24 | CATALUCCI S, SENIN N, SIMS-WATERHOUSE D, et al. Measurement of complex freeform additively manufactured parts by structured light and photogrammetry[J]. Measurement, 2020, 164: 108081. |
25 | 刘珏, 董世运, 孙椰望, 等. 直接能量沉积成形技术质量控制的研究现状[J]. 制造技术与机床, 2020(6): 44-48. |
LIU J, DONG S Y, SUN Y W, et al. The status of directed energy deposition(DED) research on the quality control[J]. Manufacturing Technology & Machine Tool, 2020(6): 44-48 (in Chinese). | |
26 | 张传鹏, 雷剑波, 方艳, 等. 激光熔凝过程中金属熔池光谱检测[J]. 应用激光, 2013, 33(5): 487-492. |
ZHANG C P, LEI J B, FANG Y, et al. Measurement of spectrum distribution of metal molten pool in laser melting[J]. Applied Laser, 2013, 33(5): 487-492 (in Chinese). | |
27 | WANG M, ZHANG Q C, LI Q, et al. Research on morphology detection of metal additive manufacturing process based on fringe projection and binocular vision[J]. Applied Sciences, 2022, 12(18): 9232. |
28 | 苏显渝, 谭松新, 向立群, 等. 基于傅里叶变换轮廓术方法的复杂物体三维面形测量[J]. 光学学报, 1998, 18(9): 1228-1233. |
SU X Y, TAN S X, XIANG L Q, et al. Complex object shape measurement using FTP method[J]. Acta Optica Sinica, 1998, 18(9): 1228-1233 (in Chinese). | |
29 | 左超, 张晓磊, 胡岩, 等. 3D真的来了吗?——三维结构光传感器漫谈[J]. 红外与激光工程, 2020, 49(3): 0303001. |
ZUO C, ZHANG X L, HU Y, et al. Has 3D finally come of age? —An introduction to 3D structured-light sensor[J]. Infrared and Laser Engineering, 2020, 49(3): 0303001 (in Chinese). | |
30 | CHEN K, XI J T, YU Y G, et al. Fast quality-guided flood-fill phase unwrapping algorithm for three-dimensional fringe pattern profilometry[C]∥Proceedings Volume 7855, Optical Metrology and Inspection for Industrial Applications. Washington, D. C.: SPIE, 2010: 78550X. |
31 | 吴双卿. 光栅投影三维形貌测量技术的研究[D]. 成都: 西南交通大学, 2005. |
WU S Q. Three-dimensional measuring method with grating projection[D].Chengdu: Southwest Jiaotong University, 2005 (in Chinese). | |
32 | 隋婧, 金伟其. 双目立体视觉技术的实现及其进展[J]. 电子技术应用, 2004, 30(10): 4-6, 12. |
SUI J, JIN W Q. Realization and progress of binocular stereo vision technology[J]. Application of Electronic Technique, 2004, 30(10): 4-6, 12 (in Chinese). | |
33 | 沈彤, 刘文波, 王京. 基于双目立体视觉的目标测距系统[J]. 电子测量技术, 2015, 38(4): 52-54. |
SHEN T, LIU W B, WANG J. Distance measurement system based on binocular stereo vision[J]. Electronic Measurement Technology, 2015, 38(4): 52-54 (in Chinese). | |
34 | FUSIELLO A, TRUCCO E, VERRI A. A compact algorithm for rectification of stereo pairs[J]. Machine Vision and Applications, 2000, 12(1): 16-22. |
35 | ZHANG Z. A flexible new technique for camera calibration[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000, 22(11): 1330-1334. |
/
〈 |
|
〉 |