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Welding stability assessment in the GMAW-S process based on fuzzy logic by acoustic sensing from arc emissions

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The present research work has as purpose detecting perturbations, measuring and assessing the welding stability in GMAW process in short circuit mode named hereafter as GMAW-S process. Design/methodology/approach: Welding trials were performed with a set of optimal input welding parameters. During experiments were induced some perturbations on the welding trajectory. It causes alteration on the stability of welding resulting as consequence geometrical shape deformations. During each experiments, acoustic emission signal coming from electric arc as well as arc voltage and welding current were acquired aided by a card acquisition and virtual instrumentation software. A heuristic model was performed as knowledge base rules of a fuzzy logic system. This system has two inputs and one output. Some additional welding trials were performed for assessing its performance. Findings: It was performed a welding stability assessment system based on fuzzy logic. As well as, this system is based on non-contact sensing what reduces the loading effects on the welding process. Research limitations/implications: In the present work was monitored just the acoustic emissions coming from arc. Although that, the results were satisfactory, an approach on data fusion of sensors including electromagnetic emission sensors could improve the quality assessments system. Originality/value: The non-contact welding stability assessment methods have reduces loading effects and a heuristic approach on the relations between arc emissions and welding stability allows quantifying nonlinear variables such as knowledge and experience of skilled welders, such that, it is possible to represent linguistic terms numerically what could be used as an on-line monitoring system of welding processes.
Słowa kluczowe
Rocznik
Strony
18--25
Opis fizyczny
Bibliogr. 13, rys., tab.
Twórcy
autor
  • Mechanical / Mechatronic Engineering Department, University of Brasilia, Campus Universitário Darcy Ribeiro – Asa Norte 70.910-900, Brasilia - DF - Brazil
  • Mechanical / Mechatronic Engineering Department, University of Brasilia, Campus Universitário Darcy Ribeiro – Asa Norte 70.910-900, Brasilia - DF - Brazil
Bibliografia
  • [1] 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.
  • [2] S. Adolfsson, A. Bahrami, G.E. Bolmsjo, I. Claesson, On-line quality monitoring in short-circuit gas metal arc welding, Welding Research Supplement 2 (1999) 59s-73s.
  • [3] G.E. Cook, K.E. Andersen, R.J. Barrett, Keynote Address Feedback and Adaptative Control in Welding, in: International Trends in Welding Science and Technology, ASM International, 1992, 891-903.
  • [4] M.J.M.E. Hermans, G. Den Ouden, Process Behavior and Stability in Short Circuit Gas Metal Arc Welding, Welding Research Supplement, The Netherlands, April, 1999.
  • [5] Lincoln T.J.F.A.W.F., The procedure handbook of arc welding, 40th Ed.; The James F. Lincoln Arc Welding Foundation, Cleveland, Ohio, USA, 2000.
  • [6] E. Cayo, S. Alfaro, Non-Intrusive GMA Welding Process Quality Monitoring System Using Acoustic Sensing, Sensors 9/9 (2009) 7150s-7166s.
  • [7] M.G. Drouet, F. Nadeau, Pressure Waves due to Arcing Faults in a Substation, IEEE Transactions on Power Apparatus and Systems PAS-98/5 (1979) 1632-1635.
  • [8] J.E. Tam, J. Huissoon, Developing Psycho-Acoustic Experiments in Gas Metal Arc Welding, Proceedings of the IEEE International Conference on Mechatronics & Automation, Niagara Falls, Canada, 2005.
  • [9] M. Cudina, J. Prezelj, I. Polojnar, Use of Audible Sound For On-Line Monitoring of Gas Metal Arc Welding Process, Metalurgija 47/2 (2008) 81-85.
  • [10] L. Grad, J. Grum, I. Polajnar, J. M. 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] V. Kralj, Biocybernetic investigations of hand movements of human operator in hand welding, IIW/IIS Doc. 212-140-68., 1968.
  • [12] E. Cayo, S. Alfaro, Short Circuit GMA Welding Process Quality Assessment Based on Electric Arc Acoustic Emissions, Buletin de informare documentara I.S.I.M. 20 (2011) 15-20.
  • [13] H. Zhuang, X. Wu, Membership Function Modification of Fuzzy Logic Controllers with Histogram Equalization, IEEE Transactions on Systems, Man, and Cybernetics B: Cybernetics 31/1 (2001) 125-132.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bab017dd-3255-4ea4-8718-862d2f0c7fec
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