TC6Titanium Alloy Forging Process Optimization Based On Organizational Uniformity Control

The hot forging of aviation forgings is a complex process. The high temperatureand deformation play an important role at the change of the material microstrructure.The change of microstructure has influence the macroscopic mechanical properties ofmaterials. Based on the forming simulation, it is necessary to study the microstructuresimulation and the controlling during forging process. Microstructure simulation andoptimization process is the key to control the product quality during forging. In thisthesis, it is focused on the influence of organization of TC6. The numerical simulationis carried on the forging forming process and analysis the deformation parametersaffect on the forging organization. The research results have important practicalapplication in the working for the microstructure control and process optimization.Isothermal compression tests are applied to study the deformation mechanisms ofTC6alloy under the deformation temperature range800~980℃and strain rate range0.5~5s-1. According to the flow stress data obtained by compression tests，thedeformation activations are calculated based on kinetics analysis of high temperaturedeformation. The flow stress curves show that the flow stress increases with decreasingtemperature and increasing strain rate；with increasing strain，the flow stress shows acharacteristic including quick hardening and moderate softening. Then，based on thehardening model and softening model，the constitutive model is established for TC6alloy.The isothermal compression is numerically simulated to determine the strain ofthe locations for microstructure observation，the OM observations are carried out of thedeformed microstructure under different deformation. The content of α and the grainsize of α are quantitatively analyzed. The organization model is established for thechange of microstructure. Compare with the experimental result，the model canprediction the organization. Forging process of TC6titanium alloy is simulated by using the secondarydeveloped software. Analysis the deformation speed、deformation temperature、temperature of die and friction factor influence on forging organization. In order to getperfect parameter，use BP neural network to process optimization. And use theparameter to simulate forging. Comparing the simulation results with the experimentalresults shows that microstructure model and optimization model can successfully usedto actual production.