Prediction of mechanical properties of welded joint using fuzzy neural network technology

The method of predicting mechanical properties of welded joint based on adaptive fuzzy neural networks (ANFIS)was discussed.The tensile strength, bend strength and extensibility of TC4 titanium alloy welded joint using TIG welding were tested.ANFIS model to predict mechanical properties of welded joint was established.By BP algorithm and hybrid algorithm, the mechanical properties of welded joint were simulated using different membership functions, fuzzy subsets and training epochs.The results show that by hybrid algorithm, the average error of ANFIS training and prediction is less than 7% while the fuzzy subset is 3, which can meet the requirement of practical production.According to welding processing parameters, the mechanical properties of welded joint including tensile strength, bend strength and extensibility can be predicted accurately, which provides an effective approach to predict and control the quality of welded joint.