To reduce CO2 emissions and energy consumption in mobility and transport, the steel industry enables weight savings by expansion of the Advanced High Strength Steel (AHSS) product portfolio. 

AHSS owe their strength to their largely refined and complex microstructures, containing multiple metallurgical phases. 

Optimal control of the thermomechanical processing of AHSS requires inline sensors for real-time monitoring of evolution and consistency of microstructure and material properties. 

This OMA proposal aims at improving the quality of the information on AHSS’s microstructure and mechanical properties extracted from existing inline sensing equipment by combining the strengths of multiscale material models, model inversion techniques and advanced data analytics.