Research On Hot Forming Experiment And Numerical Simulation Of 6005A Aluminum Alloy

Aluminum alloy has the characteristics of low density,light weight and good recyclability.Nowadays aluminum alloys have become more and more widely used in rail train body.However,aluminum alloys have low elongation and poor formability at room temperature,and it is difficult to process parts with complex shapes and high forming accuracy at one time.Aluminum alloy shows good plasticity in the process of hot stamping,and the hot forming process of aluminum alloy has broad development prospects in the manufacture of rail trains.Therefore,in-depth research on the hot forming properties of aluminum alloys is carried out.The high temperature mechanical behavior of 6005 A aluminum alloy sheet was studied by uniaxial high temperature tensile test,and the fracture morphology of hot tensile specimen was analyzed,the true stress-strain curve was obtained,and the Modified Zerilli-Armstrong constitutive equation was established.Based on the GTN model,the high temperature uniaxial tensile process was simulated.The parameters of GTN damage model were obtained by BP neural network combined with genetic algorithm,and the influence of different damage parameters on the tensile fracture of the material was analyzed.Through the 6005 A aluminum alloy punch bulging test,the forming limit data was obtained and the results were analyzed.The punch bulging finite element model coupled with the GTN damage model is established,provides material model data for the numerical simulation of hot stamping.The finite element model of hot stamping forming of small curved beam parts coupled with GTN damage model was established with ABAQUS.The stamping forming and damage failure of the small curved beam were analyzed,the optimal forming process parameters were obtained by using the PSO-BP-GA optimization algorithm,and the optimized process parameters were used to simulate the forming process of the small curved beam.Combined with the material forming limit,the feasibility of the optimization scheme is verified,and theoretical guidance is provided for the actual process design and forming.Figure 68;Table 20;Reference 67...