@ARTICLE{Kumar_Gaurav_Optimization_2020, author={Kumar, Gaurav and Kumar, Rajeev and Kumar, Ratnesh}, volume={68}, number={No. 1}, pages={99-108}, journal={Bulletin of the Polish Academy of Sciences Technical Sciences}, howpublished={online}, year={2020}, abstract={In this work, experiments were carried out to quantify the behaviour of friction stir welded (FSW) AA5082-AA7075 butt joints under tensile loading and completely reversed fatigue loading. Different samples were prepared to identify optimum tool rotational and travel speeds to produce FSW AA5082-AA7075 butt joints with the maximum fatigue life. ANOVA was performed, which confirmed that both tool speed and tool rotational speed affect the tensile strength of the weld. The samples exhibit a considerable difference in their fatigue life and tensile strength. This difference can be accounted to the presence of welding defects such as surface defects and porosity. S-N curve plotted for the sample shows a significantly high fatigue life at the lower stress ranges. Fracture surfaces were also analysed under scanning electron microscope (SEM). Study of the fracture surface of the sample that failed under fatigue loading showed that the surface was mainly divided in two zones. The first zone was the area of fatigue crack growth where each stress cycle, slowly and gradually, helped in the growth of the crack. The second zone was the region of fast fracture where the crack growth resulted in the failure of the joint instantaneously. The fracture surface study of the sample that failed under tensile loading showed that the mode of failure was ductile in nature.}, type={Artykuły / Articles}, title={Optimization of process parameters of friction stir welded AA5082-AA7075 butt joints using resonance fatigue properties}, URL={http://so.czasopisma.pan.pl/Content/115157/PDF/09_99-108_01445_Bpast.No.68-1_28.02.20_K2_K_TeX.pdf}, doi={10.24425/bpasts.2020.131830}, keywords={friction stir welding, Dissimilar Al Welding, Resonance Fatigue Analysis, Fracture Surface Analysis, ANOVA}, }