A Study on Spatter Tracking Algorithm for a Vertical GMA Welding Process

The objective of this study is to investigate the effects of activating fluxes on the weld bead geometry, hot cracking susceptibility and mechanical property of A356 and 6061 aluminum alloy dissimilar welds in the gas metal arc (GMA) welding process. In this activated GMA welding process, there were nine single-component fluxes used in the initial experiment to evaluate the penetration capability of butt-joint GMA welds. The grey relational analysis (GRA) was employed to obtain the better weld bead geometry of welds that were considered with multiple quality characteristics. Based on higher grey relational grade (GRG), four single-component fluxes were selected to create mixed-component flux in the next stage. The experimental results showed that the GMA welds coated with activating flux were provided with better geometry of dissimilar welds. The experimental procedure of activated GMA welding process not only produced a significant increase in tensile strength of welds, but also improved the hot cracking susceptibility of aluminum alloy welds.

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Multi attribute decision making parametric optimization in weld bead by gas metal arc welding through grey relation analysis: A case study

International Journal of Engineering Science and Technology ◽

10.4314/ijest.v12i2.7 ◽

2020 ◽

Vol 12 (2) ◽

pp. 59-66

Author(s):

Saadat Ali Rizvi ◽

Wajahat Ali

Keyword(s):

Process Parameters ◽

Grey Relational Analysis ◽

Gma Welding ◽

Welding Process ◽

Weld Bead ◽

Feed Speed ◽

Taguchi Technique ◽

Relational Analysis ◽

Input Parameters ◽

Grey Relational

The basic purpose of this study was to identify the effect of gas metal arc (GMA) welding process parameters on the weld bead geometry of IS2062 structural steel of A grade. L16 Taguchi orthogonal array (OA) design with the idea of S/N (signal to noise) ratio was applied to obtain objective function to be optimized within the experimental field. In this research work the Taguchi technique was joined with grey relational analysis to solve the multi-response optimization problem. ANOVA (Analysis of Variance) was applied to estimate the most significant input parameters which contribute toward the output parameters. Arc voltage, gas flow rate, and wire feed speed were carefully selected as input parameters, whereas weld bead, depth of penetration, and reinforcement were output respectively. The optimal GMA welding process parameters were identified in order to enhance the productivity and curtail the overall functional cost of weld. Keywords: grey-relational analysis (GRA), Taguchi technique, optimization, GMAW, ANOVA.

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A Study on the Optimization for a V-groove GMA Welding Process Using a Dual Response Method

Journal of Welding and Joining ◽

10.5781/kwjs.2008.26.2.085 ◽

2008 ◽

Vol 26 (2) ◽

pp. 85-91

Author(s):

Hyoung-Jin Park ◽

Seung-Ho Ahn ◽

Mun-Jin Kang ◽

Se-Hun Rhee

Keyword(s):

Gma Welding ◽

Welding Process ◽

Dual Response ◽

Response Method

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