Isothermal compression testing on 7050 aluminum alloy was conducted by using thermal simulator

and the flow stress data was presented at different strain rates and different temperatures for various true strains.Based on the experimental data

a BP neural network constitutive model for 7050 aluminum alloy was established.The analysis shows that the artificial neural network model for constitutive relationship exhibits a higher predicted precision

and it is verified from relativity and average relative error.Using the data modified by applying BP neural network

the processing map of 7050 aluminum alloy was drawn through the power dissipation map and instability map which were established based on the dynamic material modeling（DMM）.Then the processing zone and flow instability region based on processing map were determined.The results show that the optimal deformation parameters are presented as follows:deformation temperature of 420

4

50℃

strain rate of 0.01

0

.10s-1

and the maximum power dissipation coefficientηis 0.40.