Development and identification of the cellular automata phase transformation model

The development and identification of the complex microscale austenite to ferrite transformation model during continuous cooling based on the Cellular Automata method and DigiCore library is the main goal of the work. The model is designed to predict phase transformation from a fully austenitic range and involves nucleation of ferrite grains with their further growth. The major driving force for the CA grain growth is based on the carbon concentration differences across the microstructure. The model parameters are identified with the inverse analysis method with the goal function defined on the basis of the dilatometric investigation. The basic assumption of the developed model, experimental procedure, as well as subsequent identification stages, are presented within the work.

Dilatometric Investigation of the Phase Transformations in ChS-139 Steel

The results of the dilatometric investigation of the phase transformations in ChS-139 steel over the temperature range from 20 to 1 000С are presented. The error in the coefficient of linear thermal expansion (TCLE) is (1.5–2)  10–7 К–1. The temperatures of the phase transformations, the changes of relative expansion on mutual austenite-martensite transitions, and TCLE of all phases are determined. An interpretation of a number of specific points in the temperature dependences of the properties is given