Application of Signal to Noise Ratio Methodology for Optimization of Tig Process Parameters

The aim of this study is to investigate the optimum process parameters for Tungsten inert gas welding (TIG). The optimization of TIG welding Process Parameters are for stainless steel work piece using grey relation analysis method is done. Sixteen Experimental runs based on an orthogonal array were performed. Four parameters namely current, gas flow rate, welding speed and gun angle is taken as process variable. The objective function have been Chosen in relation to parameters of TIG welding bead geometry i.e. tensile load, area of Penetration, bead width, bead height and penetration for quality targets. By analysis the grey relation grade, preprocessed data and grey relation coefficient of grey relation controllable process ratio on the individual quality characteristic targets. Additionally the signal to noise ratio (S/N) ratio is also applied to identify the most significant factor and pre- calculate an optimal parameter gun angle predicted A1B1C3D4 parameter setting. The experiment results are proposed to illustrate the approach.

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