Effects Of Submerged Friction Stir Welding On Mechanical Properties Of AA6061 In Seawater

In this study, Al-Mg-Si alloy AA6061-T6 plates were joined in a seawater environment using the Submerged Friction Stir Welding (SFSW) technique, and process parameters were optimized using Taguchi L9 orthogonal arrays (OA). The parameters considered were tool rotational speed, tool transverse speed, and tool pin geometry. The MINITAB-17 software was used to analyze the responses using the signal-to-noise (S/N) ratio and analysis of variance (ANOVA). The optimum process parameters for tensile strength and joint Microhardness were determined. Furthermore, the ANOVA reveals that the tool rotational speed is the most important factor in determining joint mechanical properties such as UTS and Microhardness, with transverse speed and tool pin geometries coming in second and third. Experimental results confirm the effectiveness of this approach. The parent material microstructure and submerged stir welded samples were compared using metallographic scanning electron microscopy (SEM)

Optimization of process variables on Electrical Discharge Machining of novel Al7010/B

In this paper, determination of optimum EDM input variables like discharge current (DC), pulse on time (Pon), pulse off time (Poff), and gap voltage (GV) on responses like material removal rate (MRR) and surface roughness (SR) using Taguchi technique on the novel Al7010/2%B4C/2%BN hybrid metal matrix nanocomposite (HMMNC) manufactured through ultrasonic assisted stir casting (UASC) route. The various experiments were planned and carried out L16 orthogonal array and regression equations were established by using Analysis of variance (ANOVA) to examine the impact of pulse factors. The outcomes exposed that discharge current greatest effect factor on MRR and SR was found with % contribution of 82.07% and 86.86%. It is also identified that the optimum level conditions of pulse factors for MRR and SR is A4B4C1D1 and A1B1C4D4. The outcomes were further determined by utilizing confirmatory experiment. The machined surface morphology was observed through Scanning electron microscope (SEM)