Influence of C,V Content on Peak Strain of Deformed Austenite in Micro-alloyed Steel
The models of errorback propagation(BP) neural network,which was the relationship between the content(C,V) and peak strain(ep),were established on the basis of the data in Gleeble-1500 thermo-mechanical simulated experiment on the condition of isothermal compression at 1000℃,1050℃ and strain rate range of 0.01～10s-1 for3 micro-alloyed steel with 0.05wt%C～0.33wt%C,0.004wt%～0.099wt%V.The effects of C,V content on ep of vanadium micro-alloyed steel were researched using BP neural network models.The results show that the influences of C,V content on ep are related to strain rate.The influence law at high strain rate is different from that at low strain rate.