
In this work, effects of arc stud welding parameters on ultimate tensile strength of AISI 304 austenitic stainless steels welded arc stud welding method were investigated using neural network approach. It was observed that optimum model architecture is 5-6-1 ratio for this study. A mathematical formulation was derived to estimate the ultimate tensile strength of these joints and experimental results were compared with test results. Mathematical formula is presented in explicit form. The proposed model shows good agreement with experimental results and can be used to predict the ultimate tensile strength of these joints. R and R 2 values of training and test sets are higher 0.95 and 0.93, and 0.90 and 0.87, respectively. Percentage error value for test set is not exceeded 13%.
Engineering, Ark saplama kaynağı;mekanik özellikler;kaynak;yapay sinir ağları, Mühendislik, Arc stud welding;welding;neural network
Engineering, Ark saplama kaynağı;mekanik özellikler;kaynak;yapay sinir ağları, Mühendislik, Arc stud welding;welding;neural network
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