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Tytuł artykułu

Investigation on the arc light spectrum in GTA welding

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
12th International Scientific Conference CAM3S'2006, 27-30th November 2006, Gliwice-Zakopane
Języki publikacji
EN
Abstrakty
EN
Purpose: In the paper there are presented results of the influence of welding parameters on spectral intensity of the welding arc in the range of 340-860 nm. The main goal was checking whether the visible radiation of the arc provides information which might prove to be useful in monitoring of the welding process, similarly as the signals recorded in the electric circuit of the welding arc. Design/methodology/approach: The experimental station was designed and build. A spectrophotometer, in the visible spectral range of 340 nm to 860 nm, was used. The investigations were conducted on the automated GTA welding station. For each welding parameter the arc light spectrum was measured. Findings: Research results presented in this paper indicate that welding arc radiation contains a number of information concerning the course of the welding process. That signal is much more sensitive to the changes of welding conditions and should be used as a tool for monitoring of the TIG welding process. Research limitations/implications: The fiber spectrophotometer in the visible spectral range of 340 nm to 860 nm is an expensive instrument and that fore it can be used only as a complementary tool in monitoring of welding processes. Practical implications: The gained experience allows directing farther research on the welding arc radiation phenomenon and the possibilities of using this signal for on-line monitoring of the welding process on automated and robotized stands. This sensing system will be particularly attractive for welded structures manufacturing industry because it could significantly reduce the cost for post weld analysis and repairs. Originality/value: Three fitting functions: Lorentz, Gauss and Voight were investigated as a means to simulate the spectrum distribution. The mathematical-physical model of arc light emission and neural networks were compared.
Rocznik
Strony
519--522
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
Bibliografia
  • [1] K. Luksa, Diagnosing of short circuit gas metal arc welding process, Proceedings of 3 Scientific Conference 'M3E 2005' Gliwice-Wisła, 2005, 977-984.
  • [2] K. Luksa, Influence of weld imperfection on short circuit GMA welding arc stability, Proceedings of 12th International Scientific Conference "Achievements in Mechanical and Materials Engineering" AMME’2003 Gliwice-Zakopane, 2003, 617-622.
  • [3] K. Luksa, Z. Rymarski Collection of arc welding process data, Proceedings of 14th International Scientific Conference “Achievements in Mechanical and Materials Engineering” – AMME’2003, Gliwice-Zakopane, 377-380.
  • [4] K. Luksa, Influence of weld imperfection on short circuit GMA welding arc stability, Journal of Materials Processing Technology, 175 (2006), 285-290.
  • [5] M. Kennebeck, Eye damage from radiation in arc welding. Recognition, evaluation and control, Welding in the World, No 1 (1994) 14-16.
  • [6] Sadek C.A. Alfaro, Diogo de S. Mendonça and Marcelo S. Matos, Emission spectrometry evaluation in arc welding monitoring system, Journal of Materials Processing Technology, 179 (2006), 219-224.
  • [7] Haibo Fan, Nanda K. Ravala, Low-cost infrared sensing system for monitoring the welding process in the presence of plate inclination angle, Journal of Materials Processing Technology, 140 (2003), 668-675.
  • [8] G.N. Handdad, A.J.D. Farmer, Temperature measurements in gas tungsten arcs, Welding Journal, 1985, 339-342.
  • [9] M. Węglowski, Determination of GTA and GMA welding arc temperature, Welding International, 3 (2005) 186-192.
  • [10] Q.L. Wang, P.J. Li, Arc light sensing of droplet transfer and its analysis in pulsed GMAW processes, Welding Journal, 11 (1997) 458-69.
  • [11] P.J. Li, Y.M. Zhang, Precision sensing of arc length in GTAW based on arc light spectrum, Transaction of the ASME, 2 (2001) 62-65.
  • [12] Y.M. Zhang, P.J. Li, Precision sensing of arc length in GTAW based on arc light spectrum, Journal of Manufacturing Science and Engineering, 123/2 (2001) 62-65.
  • [13] P.J. Li, Y.M. Zhang, Analysis of an arc light mechanism and its application in sensing of the GTAW process, Welding Journal, No 9 (2000) 252-260.
  • [14] C. Yoo, Y. Yoo, H. Sunwoo, Investigation on arc light intensity in gas metal arc welding. Proceeding of the Institution of Mechanical Engineers. Part B: Journal of Engineering Manufacture 211/B (1997) 345-353.
  • [15] M. Węglowski, Z. Mikno, Estimation of stability of welding process based on arc light emission by using artificial intelligence and statistical quality control, Institute of Welding, Gliwice 2005 (in Polish).
  • [16] M.I.T., 1969, Wavelength Tables, The M.I.T. Press.
  • [17] P.J. Li, Y.M. Zhang, Robust sensing of arc length, Transaction on Instrumentation and Measurement, 3 (2001) 697-704.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS5-0019-0023
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