 The study investigated the effect of pin eccentricity and welding speed on the mechanical properties of friction stir, welded AA-5754H24 aluminum alloy. An artificial neural network, ANN, model was developed to accurately predict the mechanical properties of the FSW-DAA-5754H24 alloy as a function of tool pin eccentricity, E, and welding speed, WS. The results showed that the tensile strength increases with both E and WS, which was already captured from the ANN predictions. Additionally, the R2 values were greater than 0.97 for all the predictions, indicating high accuracy. This article was authored by Ahmed R.S.S.A, Mohamed M.Z. Ahmed, Aboud R.K. Aboud and others.