Prediction of tensile strength of friction stir welded 6061 Al plates

• 作 者: Farghaly Ahmed A El-Nikhaily Ahmed E Essa A R S
• 机 构: Mechanical Department,Faculty of Industrial Education,Suez University,43527,Egypt“,”Mechanical Engin
• 出 处: 中国焊接
• 发表日期: 2019年3期
• 关键词: prediction friction stir welding 6061 aluminum alloy artificial neural network m

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 weld-ing 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.