| Abstract Scope |
The steel industry continues to develop new high-performance steels and innovative processing strategies to meet societal demands of sustainability in the energy, transportation and construction sectors. Computational tools have aided these developments since the introduction of thermo-mechanically controlled processed steels in the 1970s. In particular, the concept of microstructure engineering permits a knowledge-based approach by simulating the microstructure evolution to link the operational process parameters with the properties of the steel product. Recent advances in computational materials science have enabled modeling across different length and time scales where atomistic scale simulations are combined with meso-scale modeling on the microstructure length scale to establish predictive tools for the industrially relevant macro-scale. The present lecture will review these modeling strategies to provide a critical assessment of their achievements and limitations with an emphasis on phase transformations in advanced high-performance low carbon steels. In particular, an interface-based steel design approach will be discussed. |