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Assessment of arc stability features for selected gas metal arc welding conditions

Paul Kah, Gabriel Ogheneluona Edigbe, Bénoît Ndiwé, Rastislav Kubicek

2022SN Applied Sciences13 citationsDOIOpen Access PDF

Abstract

Abstract Stability is a key indicator of the efficiency of the gas metal arc welding operation, and it is linked to other quality indicators like spattering and weld formation. This study describes methods of assessing arc stability for selected gas metal arc welding (GMAW) conditions. It focuses on stability characterization and defines the relationship between process stability and influencing factors. Welding tests were performed using two selected transfer modes the spray and the pulse transfer modes to characterize stability and develop processes further for better overall performance. This scope of parameters was selected to simulate certain range of stability behavior, so it was possible to analyze the factors correlated to stability, their relevance in influencing stability, and consequently to define a calculation algorithm for the determination of stability. Also, stability was calculated and scored based on two scoring indices. With a higher voltage, disturbance levels were noticed to reduce as in the case of 29 V, 31.5 V, and 32.5 V with 32.5 V showing better stability to spattering, smoothness, repeatability, and regularity of the process. Actual values of positive and negative voltage peaks, voltage amplitudes, and their average values and standard deviations in selected analyzed time showed to be relevant indicators to characterize stability of the process. Variations of indicated voltage signals related to explosions showed to have complex patterns in terms of their waveforms. So, all these were analyzed step by step and consequently selected for characterization in the welding conditions that were selected in the scope of this study.

Topics & Concepts

Gas metal arc weldingWeldingStability (learning theory)VoltageRepeatabilityRange (aeronautics)Arc (geometry)Submerged arc weldingMaterials scienceArc weldingMechanical engineeringMathematicsComputer scienceMetallurgyComposite materialEngineeringStatisticsElectrical engineeringMachine learningWelding Techniques and Residual StressesAdvanced machining processes and optimizationNon-Destructive Testing Techniques
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