Exploring infrared sensoring for real time welding defects monitoring in GTAW

Sensors

Volumn 10, Issue 6, 2010, Pages 5962-5974

  Alfaro, Sadek C A ^a   Franco, Fernand Díaz ^a  

^a UNIVERSITY OF BRASILIA   (Brazil)

Author keywords

Gas tungsten arc welding; Infrared; Statistic methods; Welding monitoring

Indexed keywords

GAS TUNGSTEN ARC WELDING; GAS TUNGSTEN ARC WELDING PROCESS; INFRARED EMISSIONS; MONITORING PARAMETERS; MONITORING THE TEMPERATURES; STATISTIC METHOD; TEMPERATURE CHANGES; TEMPERATURE VALUES;

ELECTRIC WELDING; GAS METAL ARC WELDING; INFRARED DETECTORS; INFRARED RADIATION; INTERACTIVE COMPUTER SYSTEMS; LAKES; REAL TIME SYSTEMS; WELDS;

DEFECTS;

TUNGSTEN;

ARTICLE; BIOLOGICAL MODEL; CHEMISTRY; COMPUTER SYSTEM; ENVIRONMENTAL MONITORING; EQUIPMENT; EVALUATION; HUMAN; INFRARED RADIATION; INSTRUMENTATION; METHODOLOGY; MICROCLIMATE; REMOTE SENSING; THEORETICAL MODEL; WELDING;

COMPUTER SYSTEMS; ENVIRONMENT, CONTROLLED; ENVIRONMENTAL MONITORING; EQUIPMENT FAILURE ANALYSIS; HUMANS; INFRARED RAYS; MODELS, BIOLOGICAL; MODELS, THEORETICAL; REMOTE SENSING TECHNOLOGY; TUNGSTEN; WELDING;

EID: 77954800052     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s100605962     Document Type: Article

References (19)

1. Chen, W.; Chin, B.A. Monitoring joint penetration using infrared sensing techniques. Weld J. 1990, 69, 181s-185s.
2. Kerr, H.W.; Hellina, M.C.; Huissoon, J.P. Identifying welding pool dynamics for GMA fillet welds. Scien. Tech. Weld. Join. 1999, 4, 15-20.
3. Luo, H.K.; Lawrence, F.M.K.; Mohanamurthy, P.H.; Devanathan, R.; Chen, X.Q.; Chan, S.P. Vision based GTA weld pool sensing and control using neurofuzzy logic. In SIMTech Technical Report AT/00/011/AMP; Automated Material Processing Group, Singapore Institute of Manufacturing Technology: Singapore, 2000; pp. 1-7.
4. Mirapeix, J.; Cobo, A.; Conde, O.M.; Jaúregui, C.; López-Higuera, J.M. Real-time arc welding defect detection technique by means of plasma spectrum optical analysis. NDT&E Int. 2006, 39, 356-360.
5. Fortunko, C.M. Ultrasonic detection and sizing of two-dimensional weld defects in the long-wavelength limit. Ultrason. Symp. 1980, 862-867.
6. Liu, Y.; Li, X.H.; Ren, D.H.; Ye, S.H.; Wang, B.G.; Sun, J. Computer vision application for weld defect detection and evaluation, automated optical inspection for industry. Theory Technol. Appl. II. 1998, 3558, 354-357.
7. Nagarajan, S.W.; Chen, H.B.; Chin, A. Infrared sensing for adaptive arc welding. Weld J. 1989, 68, 462s-466s.
8. Sanders, P.G.; Leong, K.H.; Keske, J.S.; Kornecki, G. Real-time Monitoring of laser beam welding using infrared weld emissions. J. Laser Appl. 1998, 10, 205-211.
9. Venkatraman, B.; Menaka, M.; Vasudevan, M.; Baldev, R. Thermography for online detection of incomplete penetration and penetration depth estimation. In Proceedings of Asia-Pacific Conference on NDT, Auckland, New Zealand, 5-10 November, 2006.
10. Chin, B.A.; Zee, R.H.; Wikle, H.C. A sensing system for weld process control. J. Mater. Process. Technol. 1999, 89-90, 254-259.
11. WikleIII, H.C.; Kottilingam, S.; Zee, R.H.; Chin, B.A. Infrared sensing techniques for penetration depth control of the submerged arc welding process. J. Mater. Process. Technol. 2001, 113, 228-233.
12. Araújo, C.F.B. Estudo da Monitoração por Infravermelho como Indicador de Penetração em Soldas Obtidas no Processo TIG. Masters Dissertation, University of Brasilia: Brasilia,Brasil, 2004.
13. Merchant, J. Infrared temperature measurement theory and applications. Mikron Instruments Company: Oakland, NJ, USA; Application Notes.
14. Appel, U.; Brandt, A.V. Adaptive sequential segmentation of piecewise stationary time series. Inform. Sci. 1983, 29, 27-56.
15. Alfaro, S.C.A.; Carvalho, G.C.; Da Cunha, F.R. A statistical approach for monitoring stochastic welding processes. J. Mater Process Technol. 2006, 175, 4-14.
16. Gustafsson, F. Adaptative Filtering and Change Detection; John Wiley & Sons: New York, NY, USA, 2000.
17. Pollock, D.S.G. A Handbook of Time Series Analysis, Signal Processing and Dynamics, 1st ed.; Academic Press: New York, NY, USA, 1999.
18. Jazwinski, A.H. Stochastic Processes and Filtering Theory, 1st ed.; Academic Press: New York, NY, USA, 1970.
19. Duda, R.O.; Hart, P.E.; Stork, D.G. Pattern Classification, 2nd ed.; John Wiley and Sons: New York, NY, USA, 2001.