Study on the temperature modeling of the ring rolling process for aluminum alloys
Ring rolling process for aluminum alloy forgings is widely used in the machine manufacturing industry.Rolling temperature as a key process parameter plays an important role in rolling pressure and axial deformation extension and also influences the final micro-structure and mechanical properties of the forgings.For the ring-rolling temperature change,the research is insufficient and more accurate models are in need.It is difficult to accurately predict the temperature change with the traditional method due to the complex thermal cou-pling effect in the ring rolling process.In this paper,a reasonable temperature prediction model for the ring rolling process of aluminum alloy forgings based on the energy method is established,which simplifies the heat conduction and heat dissipation model in the deforma-tion rolling zone and effectively predicts the rolling temperature.Data analysis with MATLAB shows the polynomial optimization of quadratic form and rooted temperature prediction model has the best effect.The quadratic model has been further used to analyze how different feed schemes influence the heat dissipation area and temperature of the rings.The results show that the optimized temperature prediction model provides important theoretical support and techni-cal guidance for the optimization of ring rolling process parameters and production control.
ring rollingtemperature prediction modelsenergy methodparameter optimi-zationMATLAB
NETL
NSTL
万方数据
