Overview of Multi-Scale Simulation Techniques for Three Typical Steel Manufacturing Processes

Area of Science:

• Materials Science
• Computational Engineering
• Manufacturing Processes

Background:

• Steel production involves critical steps like casting, hot rolling, and cooling.
• Thin-slab casting and direct rolling (TSCR) offers a more energy-efficient alternative for steel manufacturing, aligning with carbon neutrality goals.
• Computational modeling is essential for predicting steel properties and microstructures, reducing development time and costs.

Purpose of the Study:

• To review cross-scale simulation techniques applicable to the TSCR process.
• To present key methodologies for simulating the integrated casting, hot rolling, and laminar cooling stages.
• To provide insights into optimizing TSCR through multi-scale modeling.

Main Methods:

• Review of existing literature on multi-scale computational modeling.
• Analysis of simulation techniques for casting, hot rolling, and laminar cooling.
• Focus on integrating different scales of simulation for the TSCR sequence.

Main Results:

• Identification of critical cross-scale simulation techniques for TSCR.
• Demonstration of how multi-scale modeling aids in predicting final product properties.
• Highlighting the efficiency gains and cost reductions enabled by simulation.

Conclusions:

• Cross-scale simulation is vital for advancing TSCR technology.
• Effective simulation strategies can accelerate the development of energy-efficient steel manufacturing.
• This review provides a foundation for further research in TSCR process simulation.