Real-time speckle shearography system for defect detection in aircraft materials

被引:2
|
作者
van Brug, H [1 ]
机构
[1] Delft Univ Technol, Opt Res Grp, NL-2628 CJ Delft, Netherlands
来源
NONDESTRUCTIVE EVALUATION OF AGING AIRCRAFT, AIRPORTS, AND AEROSPACE HARDWARE III | 1999年 / 3586卷
关键词
non destructive evaluation; interferometry; speckles; shearography; real-time;
D O I
10.1117/12.339891
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
A real-time speckle-based shearography system will be presented. It is a two camera system that records four phase stepped images simultaneously (pi/2 radians phase step), two per camera. This is achieved by the two Savart elements in the optical setup, that are used to create the proper phase steps between the two sheared wavefronts and to split the two mutually orthogonal components into two fully separated beams, thus creating two images, side by side on a single CCD camera. From those recorded images the phase can be computed using the four bucket algorithm. By measuring the phase before and after loading the sample under inspection, and subtracting the two phase distribution, information on the homogeneity of the sample is obtained. Loading is performed by heating the sample by use of a halogen lamp. Defects in the sample show up as irregularities in the phase difference distribution. The system has been used on parts of helicopters and airplanes, all within a laboratory environment. The use of the system in more hostile environments has been investigated and proofs to be much better than conventional, non real-time systems. Finally, a concept for an even more compact setup will be presented. In this setup only a single camera will be used. By employing the method of temporal phase unwrapping the phase front, and therewith the surface shape, can be monitored as a function of time.
引用
收藏
页码:239 / 247
页数:9
相关论文
共 50 条
  • [31] HeadFinder: A real-time robust head detection and tracking system
    Baba, N
    Matsuo, H
    Ejima, T
    REAL-TIME IMAGING VI, 2002, 4666 : 42 - 51
  • [32] A real-time omnidirectional target detection system based on FPGA
    Zhe Zhang
    Huan Li
    Yue Yu
    Hanlin Qin
    Dabao Wang
    Huixin Zhou
    Shangzhen Song
    Yanyan Liu
    Multimedia Tools and Applications, 2023, 82 : 30929 - 30947
  • [33] Real-Time Defect Detection in Electronic Components during Assembly through Deep Learning
    Weiss, Eyal
    Caplan, Shir
    Horn, Kobi
    Sharabi, Moshe
    ELECTRONICS, 2024, 13 (08)
  • [34] Shear Banding Observed in Real-Time with a Laser Speckle Method
    Karppinen, Pasi
    Forsstrom, Antti
    Mustonen, Kimmo
    Bossuyt, Sven
    ADVANCEMENT OF OPTICAL METHODS IN EXPERIMENTAL MECHANICS, VOL 3, 2017, : 327 - 333
  • [35] Real-time Speckle Sensing and Suppression with Project 1640 at Palomar
    Vasisht, Gautam
    Cady, Eric
    Zhai, Chengxing
    Lockhart, Thomas
    Oppeheimer, Ben
    ADAPTIVE OPTICS SYSTEMS IV, 2014, 9148
  • [36] DBRNet: Dual-Branch Real-Time Segmentation NetWork for Metal Defect Detection
    Zhang, Tianpeng
    Wei, Xiumei
    Wu, Xiaoming
    Jiang, Xuesong
    PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2023, PT VI, 2024, 14430 : 422 - 434
  • [37] Real-time IR scene generation of aircraft targets
    Crow, DR
    Olson, EM
    Garbo, DL
    Coker, CF
    TECHNOLOGIES FOR SYNTHETIC ENVIRONMENTS: HARDWARE-IN-THE-LOOP TESTING II, 1997, 3084 : 192 - 199
  • [38] Implementation of temporal phase unwrapping in a real-time phase stepped shearing speckle interferometer
    Somers, PAAM
    van Brug, H
    NONDESTRUCTIVE EVALUATION OF AGING MATERIALS AND COMPOSITES IV, 2000, 3993 : 170 - 181
  • [39] Real-time multi-agent system for an adaptive intrusion detection system
    Al-Yaseen, Wathiq Laftah
    Othman, Zulaiha Ali
    Nazri, Mohd Zakree Ahmad
    PATTERN RECOGNITION LETTERS, 2017, 85 : 56 - 64
  • [40] Quality control in cloth production: a new system for real time defect detection
    Baldassarre, A
    De Lucia, M
    Rossi, F
    Vannucci, M
    SENSORS AND CONTROLS FOR INTELLIGENT MANUFACTURING, 2000, 4191 : 45 - 54