| In the study of microstructure and deformation of dual phase steel,ferrite ferrite martensitic steel has been used as the research object,and few researches have been done on ferrite bainite dual phase steel.Therefore,the microstructure and properties of the dual phase steel were simulated by ANSYS finite element method,the best two-phase ratio and grain size and strength were analyzed.The result could optimize the production process,and plays a guiding role for the actual production.The influence of grain size and solid solution elements on the strength of the material is analyzed based on the strengthening mechanism and strength theoretical model、empirical formula and empirical formula of ferrite bainite double phase steel.A numerical model of bainitic ferrite dual phase steel has been established according to various influencing factors.Secondly,the relevant parameters in ANSYS software are selected to simulate the ferrite bainite steel and the error is analyzed.Thirdly,the effects of various parameters on the properties of dual phase steel were analyzed with changing bainite content,bainite strength and bainite average grain size.Finally,the results of numerical simulation are verified by experimental methods,so as to provide basis for production practice.the following conclusions are obtained:(1)Increasing the ferrite content can improve the ability of dual phase steel to resist deformation,when the content of bainite is below 30%;(2)Increasing the strength of ferrite and bainite are helpful to the improvement of matrix strength;(3)the strength of the material can be improved by fining grains and fine-grained strengthening with the average grain size of bainite approximately 30 m.(4)The conclusion is consistent with the continuous long fiber model in ferrite martensite dual phase steel.(5)The experiment results verify the accuracy of the model.The research results can provide a theoretical basis for the high quality and high efficiency of the biphase steel,which has strong resistance to deformation and high strength of the matrix. |