Focus Area

• Ingot and Continuous Casting Optimization
• Process Modelling

Short Description

For this project, qoncept developed a structured logic to calculate the temperature-dependent thermophysical properties of steel grades. The tool, which was based on regression models, covered key parameters such as heat capacity, thermal conductivity, density, and latent heat. Two steel categories were included: low-alloyed and stainless. The tool was then extended to cover broader alloy ranges. The implementation included a microsegregation-based method to estimate solidus and liquidus temperatures. This solution allows users to evaluate steel grades more effectively and improve the solidification calculations of continuous and ingot casting processes.