Prediction of tensile strength of friction stir welded 6061 Al plates

The present paper investigates the prediction of tensile strength after friction stir welding (FSW) using artificial neural network (ANN) in the MATLAB program. The experimental results are used to develop the mathematical model. The combined influence of welding speed, rotation speed, and axial force on the tensile strength of 6061 Al plates is simulated. Results of the tensile test are used to train and test the ANN model. A multi-layer solution is developed using the ANN model to predict tensile strength. Back propagation (BP) method is initially trained using 80% of the experimental data, then, testing is performed with the rest of the data. Results indicate that predicted values are close to the corresponding measured values.