Combined effect of flux and welding parameters on chemical composition and mechanical properties of submerged arc weld metal

Mixture experiments and their applications in welding flux design

“…The significant interactions effect of flux ingredients has been reported previously (Lau et al, 1986 andKanjilal et al, 2004). Assessment of flux ingredient interaction has been recognised as increasingly important in welding flux design where it may be necessary to determine the combined synergetic and antagonistic effects of many flux ingredients (Kanjilal et al, 2004(Kanjilal et al, , 2006(Kanjilal et al, , 2007 Another limitation of the traditional approach is that the best among the experimental flux formulations is used as the appropriate flux for a given metal under the given welding conditions. Such welding flux has a random character and is not guaranteed to be the optimum since it is not practical to explore all combinations of compositional variation due to time and cost limitations.…”

“…The extreme vertices design offers great potential for welding flux research. Its efficacy has been demonstrated by the pioneering work of kanjilal and his coinvestigators (Kanjilal et al, 2004(Kanjilal et al, , 2005(Kanjilal et al, , 2006(Kanjilal et al, and 2007.…”

“…For example, in welding production system, the composition of the flux involves mixture variables while the settings of the voltage, current, welding speed, and nozzle-to-plate distance are process variables. As far as we know, Kanjilal et al, (2006) is the only work that has appeared in the literature where mixture-process variable design was applied in flux research. Analytical models develop from mixture-process variables data will quantify the synergetic and antagonistic effects of fluxprocess variable and process-process interactions.…”

“…Although statistical design of mixture experiment has been available for some time, it seems relatively unknown to most welding flux researchers. The efficacy of the methodology in welding flux research has been demonstrated by Kanjilal et al (2004Kanjilal et al ( , 2005aKanjilal et al ( , 2005bKanjilal et al ( , 2006Kanjilal et al ( and 2007. This paper presents a brief discussion on mixture design.…”

Weld Quality Prediction Using Artificial Intelligence Technique

“…Also the effect of increasing deposition rate on bead geometry [8] and flux component on softening temperature was examined [9] for submerged arc weld. Investigations were done to analyze the effect of welding parameters on chemical composition and mechanical properties [10], heat affected zone [11] and bead geometry [12] of submerged arc weld.…”