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Purpose: In the present work was made the comparative analysis in time domain and frequency domain to the acoustical pressure generate by the electric arc to determinate which of the two analysis methods is better to evaluates the stability in GMAW process. Design/methodology/approach: Welds had been made with the parameters adjusted to get the highest stability. In these conditions, were simulated instabilities that had been generated by the grease presence in the weld trajectory. In both experimental groups was acquired the acoustical pressure signal produced by electric arc to made analysis based in time domain and frequency domain. Findings: After this comparative study we conclude that the acoustical evaluation of the stability on the GMAW process presents more clarity for the analysis based in the time domain that the frequency domain. Research limitations/implications: In the gotten results, the time domain analysis method could represent adequately the stability and the instability of the process. The stability characterizes for the continuity and minim variation of the statistical parameters, but in the presence of instabilities, these parameters present chaotic changes. In the frequency domain method the variations are imperceptible for steady and unstable regions, but it presents little definite variations in the amplitude of determined bands of frequencies. Originality/value: The stability evaluation in welding is crucial because it is responsible in the weld quality. The non contact methods as the acoustical method have a potentiality extraordinary to monitoring and detect instabilities in welding. The acoustical sensing has the capacity to make an on-line monitoring of the weld process.
Wydawca
Rocznik
Tom
Strony
157--164
Opis fizyczny
Bibliogr. 23 poz., rys., tabl.
Twórcy
autor
autor
- Mechanical / Mechatronic Engineering Departament, University of Brasilia, Campus Universitário Darcy Ribeiro – Asa Norte 70.910-900, Brasilia - DF - Brazil, eber@unb.br
Bibliografia
- [1] K. L. Moore, R. Yender, J. Tyler, D. S. E. Naidu, Modelling Calibration, and Control-Theoretic Analysis of the GMAW Process, Proceedings of the American Control Conference Philadelphia, Pensylvania, 1998 (CD-ROM).
- [2] V. Kralj, Biocybernetic investigations of hand movements of human operator in hand welding, IIW/IIS Doc. 212-140- 68., 1968.
- [3] M. G. Drouet And Frangois Nadeau, Pressure Waves due to Arcing Faults in a Substation, IEEE Transactions on Power Apparatus and Systems 98/5 (1979) 1632-1635.
- [4] M. D. Drouet, F. Nadeau, Acoustic measurement of the arc voltage applicable to arc welding and arc furnaces, Journal of Physics E: Scientific Instruments 15/3 (1982) 268-269.
- [5] S. C. Absi, G. C. Carvalho, F. R. E. Da Cunha, A statistical approach for monitoring stochastic welding processes, Journal of Materials Processing Technology 175 (2006) 4-14.
- [6] E. H. Cayo, Monitoring, Detection and Localization System for Welding Defects based on the Acoustic Pressure of the Gmaw-S Process Electric Arc 2008. 108P. Master Dissertation in Mechatronics Systems, FT University of Brasilia, DF, Brazil, (in Portuguese).
- [7] E. H. Cayo, S. C. Absi Alfaro, Welding Quality Measurement Based On Acoustic Sensing, COBEM-2007, 2007, Brasília. 19th International Congress of Mechanical Engineering. São Paulo : ABCM, 1, 2007, 2200-2200-11.
- [8] E. H. Cayo, S. C. Absi Alfaro , Acustic evaluation of the heat transfer in pressure welding during the MIG/MAG welding process, Proceedings of the 3rd National Congress of Engineering: Mechanics, Electrics, Electronics and Mechatronics, Mexico, 3/4, 2008, 399-405 (in Spanish).
- [9] J. Cudina, I. Prezelj, A. Polojnar, Use of Audible Sound For On-Line Monitoring of Gas Metal Arc Welding Process, Croatian Metallurgical Society, Metalurgija 47/2 (2008) 81-85.
- [10] L. Grad, J. Grum, I. Polajnar, J. M. E. Slabe, Feasibility study of acoustic signals for on-line monitoring in short circuit gas metal arc welding, International Journal of Machine Tools and Manufacture 44/5 (2004) 555-561.
- [11] A. M. Mansoor, J. P. Huissoon, Acoustic Identification of the GMAW Process, 9th International Conference on Computer Technology in Welding, Detroit, USA, 1999, 312-323.
- [12] B. E. Poopat, E. Warinsiriruk, Acoustic signal analysis for classification of transfer mode in GMAW by noncontact sensing technique, Journal of Science and Technology 28/4 (2006) 829-840.
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- [14] J. Tam, Methods of Characterizing Gas-Metal Arc Welding Acoustics for Process Automation, thesis presented to the University of Waterloo in fulfillment of the thesis requirement for the degree of Master of Applied Science in Mechanical Engineering, Waterloo, Ontario, Canada, 2005.
- [15] J. J. E. Tam Huissoon, Developing Psycho-Acoustic Experiments in Gas Metal Arc Welding, Proceedings of the IEEE International Conference “Mechatronics & Automation”, Niagara Falls, Canada, 2005, (CD-ROM).
- [16] E. E. Warinsiriruk, B. Poopat, Investigation of Metal Transfer of ER70S-6 Filler metal in MAG-M Welding by Acoustic Signal Detection, The Fourth Thailand Materials Science and Technology Conference, Bangkok, Thailand, 2006, (CD-ROM).
- [17] E. H. Cayo, S. C. Absi Alfaro , Weld Transference Modes Identification Through Sound Pressure Level in GMAW, Journal of Achievements in Materials and Manufacturing Engineering 29/1 (2008) 57-62.
- [18] G. E. Cook, K. E. Andersen, R. J. Barrett, Keynote Address Feddback and Adaptative Control in Welding, International Trends in Welding Science and Technology, ASM International, 1992, 891-903.
- [19] S. Adolfsson, A. Bahrami, G. E. Bolmsjö, I, Claesson, On-line quality monitoring in short-circuit gas metal arc welding, Welding Research Supplement 2 (1999) 59-73.
- [20] C. S. Wu, T. E. Polte, D. Rehfeldt, A Fuzzy Logic System for Process Monitoring and Quality Evaluation in GMAW, Supplement to the Welding Journal, February, 2001.
- [21] M. J. M. Hermans, G. E Den Ouden, Process Behavior and Stability in Short Circuit Gas Metal Arc Welding, Welding Research Supplement, April 1999, The Netherlands.
- [22] G. E. Cook, J. E. Maxwell, R. J. Barnett, A. M. E. Strauss, Statistical Process Control Application to Weld Process, IEEE Transactions on Industry Applications 33/2 (1997) 22-25.
- [23] T. Haga, H. Sakaguchi, H. Watari, S. Kumai, High speed twin roll casting of 6061 alloy strips, Archives of Materials Science and Engineering 31/1 (2008) 49-56.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS2-0020-0049