This research focuses on the process stability control of hot forming production. Based on the principle of physical metallurgy

the decision modules of hot forming process were set up respectively. Calculation module for heating austenite grain size of hot forming steel. Performance prediction module. The process production guidance platform has been established. Based on the basic laboratory data and the industrial big data

the QAPP

N value

σ0 and K data in the physical metallurgy model were modified to greatly improve the prediction accuracy of the model. It has the characteristics of strong adaptability and high prediction accuracy. Can provide the optimal production process before production

to achieve the purpose of guiding production. However

in the actual industrial production process

the plat-form collects real-time field parameters

and after stamping

it can directly and accurately predict whether the parts are qualified or not

and whether the performance risks exist

so as to reduce the number of parts inspection

thus greatly improving the production efficiency and product stability.