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Application of Fast Fourier Transform (FFT) in the Analysis of a Welding Current Instantaneous Values Waveforms during Welding with a Covered Electrode

Słania J., Ślązak B., Fidali M.

Archives of Metallurgy and Materials

2014

Vol. 59, iss. 2

569--573

The article presents the process of production of coated electrodes and their welding properties. The factors concerning the welding properties and the currently applied method of assessing are given. The methodology of the testing based on measuring and recording of instantaneous values of welding current and welding arc voltage is discussed. The article presents the application of Fast Fourier Transform (FFT) for the analysis of instantaneous values of welding current and welding arc voltage. The results of coated electrodes welding properties are compared. Finally the conclusions drawn from the research are presented.

Omówiono proces produkcji elektrod otulonych oraz ich wymagane właściwości spawalnicze. Przedstawiono wskaźniki właściwości spawalniczych oraz stosowaną dotychczas metodykę oceny. Omówiono metodyką badań polegającą na pomiarze i rejestracji wartości chwilowych natężenia prądu spawania i napięcia łuku spawalniczego. Przedstawiono sposób wykorzystania Szybkiej Transformaty Fouriera (FFT) do analizy wartości chwilowych natężenia prądu spawania i napięcia łuku spawalniczego. Zestawiono wyniki badań właściwości spawalniczych elektrod otulonych. Zaprezentowano wnioski z wykonanych badań.

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

Cayo E. H., Alfaro S. C. A.

Journal of Achievements in Materials and Manufacturing Engineering

2012

Vol. 55, nr 1

18--25

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.