Application of Image Processing Technology in Welds Ultrasonic Testing

Abstract:

In order to ensure the real-time tracking of weld ultrasonic testing, applied CCD weld image sensor image, through image processing technology, used homomorphic filtering, two value methods to pre-process the image acquisition, extracted image feature information used region growing and linear regression method, and thus determined the edge weld, after A/D conversion, got feedback of the voltage signal position deviation amount, controlled servo motor drive the bracket to move, ensured effective tracking ultrasonic tester. Through simulation, verified the accuracy and feasibility of the image processing algorithm,which got ideal effectused in the practical application.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 1519-1522
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.1519
• Online since: September 2013
• Authors: Jian He, Lian Cheng Zhu, Ke Cheng Wang
• Keywords: CCD Image Sensor, Homomorphic Filtering, Mage Processing, Region Growing, Ultrasonic Detection

References

[1] Yoo W S, Na S J. Determination of 3-D Weld Seams in Ship Blocks Using a Laser Vision Sensor [J]. Journal of Manufacturing Systems, 2003, 22(4), pp.340-347.

DOI: 10.1016/s0278-6125(03)80049-3

[2] Kaltenbacher M, Ettinger K, Lerch R, Finite Element Analysis of Coupled Electromagnetic Acoustic Systems[J]. IEEE Transaction on Magnetics, 1999, 35(3), pp.1610-1613.

DOI: 10.1109/20.767297

[3] Zhang Yong Hong, Wang Yu, Wang Xiao Dong. Ultrasonic time-of-flight diffraction Crack Size Identification Based on Cross-Correlation[J]. IEEE Canadian Conference On Electrical and Computer Engineering. 2008, pp.1797-1800.

DOI: 10.1109/ccece.2008.4564854

[4] Ana E G Benz. Use of Acoustic Emission Techniques for Detection of Discontinuities [J]. Materials Evaluation. 1998, 56(10), pp.1215-1222.

[5] Park K, Kim Y, Byeon J, etal. Development of a nauto –Welding System for CRD Nozzle Repair Weld Susing a 3-D laser Vision Sensor [J]. Journal of Mechanical Science and Technolugy, 2007, 27(5), pp.1720-1725.

DOI: 10.1007/bf03177400

[6] Kumar, A. et al. Influence of Grain Size on Ultrasonic Spectral Parameters in AISI Type Stainless Steel [J]. Scripta Materials, 1999, 40(3), pp.333-340.

DOI: 10.1016/s1359-6462(98)00435-7

[7] J. William. Crack Measurement in Steel Plates Using TOFD Method [J]. Journal of Performance of Constructed Facilities, 2000, 14(2), pp.75-82.

DOI: 10.1061/(asce)0887-3828(2000)14:2(75)

[8] Langenderg K J, Hannemann R. Kaczorowski T, et al. Application of Modeling Techniques for Ultrasonic austenitic weld inspection [J]. NDT&E International, 2000, 33(2), pp.465-480.

DOI: 10.1016/s0963-8695(00)00018-9

[9] M. Ohlsu. The History and Development of Acoustic Emission in Concrete Engineering[J]. Magazine of Concrete Research, 1996, 48(177), pp.321-330.

DOI: 10.1680/macr.1996.48.177.321

[10] Wang Gang, Liao T. Warren. Automatic Identification of Different Types of Welding Defects in Radio Graphic Images [J]. NDT＆E International, 2002(35), pp.519-528.

DOI: 10.1016/s0963-8695(02)00025-7

[11] Miguel Sison, John C, Duke Jr, et al. Acoustic Emission: A Tool for the Bridge Engineer [J]. Materials Evaluation, 1996, 54(8), pp.888-900.