Parametric optimization of Pulsed Current Metal Inert Gas Welding(PCMIGW) for Ultimate Tensile Strength and Hardness has been performed by using Taguchi method. Welding Current, Gas Flow Rate and Wire Feed Rate were chosen as welding parameters. The material used for this purpose was ASTM A106 pipes having dimensions with outer diameter 25 mm length 300 mm having wall thickness of 3 mm. Argon (85%) and Co2 (15%) was used as a shielding gas. Mild steel filler wire with copper coated of diameter 1.2 mm was used. An orthogonal array, L27 was used to conduct the experiments. Signal to Noise (S/N) ratio and Analysis of Variance (ANOVA) were employed to study the welding characteristics of material. Optimization of parameters was done by Taguchi method using statistical software MINITAB-16. Confirmation tests were carried out with optimal levels of welding parameters to validate the Taguchi's optimization method.
Manufacturers around the globe persistently looking for the cheapest and quality manufactured machined components to compete in the market. Good surface quality is desired for the proper functioning of the produced parts. The surface quality is
influenced by cutting speed, feed rate and depth of cut and many other parameters. In the present study attempt has been made to evaluate the performance of ceramic inserts during hard turning of EN-31 steel. The analysis of variance is applied to study the
effect of cutting speed, feed rate and depth of cut on Flank wear and surface roughness. Model is found to be statically significant using regression model, while feed and depth of cut are the factor affecting Flank wear and feed is dominating factors for surface
roughness. The analysis of variance was used to analyze the input parameters and there interactions during machining. The developed model predicted response factor at 95% confidence level.
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