Model prediction of processing-property of TC11 titanium alloy using artificial neural network

The relationship between processing and property of materials is complex. In the present investigation, based on a lot of experimental data, the technique of artificial neural network was employed to develop the prediction model of processing and property for TC11 titanium alloy. The inputs of the neural network were different forging process parameters such as forging temperature, forging style and cooling style. The outputs of the model were the tensile properties, including ultimate tensile strength, yield strength, elongation and reduction of area. The mechanical properties of TC11 titanium alloy were predicted by the established model, and the accuracy of the prediction was compared with the experimental data. Besides, the model was used to study the influence of the processing on the properties of TC11 titanium alloy. Results show that the model can predict the properties of this alloy with high accuracy and reliability, and the complex relationship between processing and properties can be well presented by the trained neural network, which is consistent with the metallurgical trends.