Microstructure Monitor for Steel Strip and Steel Plate

The Microstructure Monitor is an innovative digital solution for predicting material properties into the product. This advanced technology combines physical-metallurgical models with machine-learning neural networks to accurately predict mechanical properties, such as tensile strength and yield strength. By integrating seamlessly with existing mill operations, the Microstructure Monitor enhances quality control and reduces the need for extensive laboratory testing, providing a unique advantage in producing high-quality steel products.

The Microstructure Monitor offers a comprehensive approach to predicting material properties in hot strip mills and plate mills by combining real-time data collection with advanced modeling techniques. It captures essential process parameters such as temperatures, deformations, and chemical composition, using these inputs to determine the steel's microstructural characteristics. With the integration of machine-learning neural networks, the system continually learns and improves its prediction accuracy, ensuring effectiveness across various steel grades and production scenarios.

A standout feature of this system is its dual operational modes: online and offline. In online mode, the system provides immediate feedback on the material's mechanical properties, allowing for process adjustments. In offline mode, it facilitates risk-free simulations to explore improvements in production parameters without affecting ongoing operations. This flexibility enhances operational efficiency and supports strategic decision-making by providing a detailed understanding of material behavior under various conditions.

Benefits of the Microstructure Monitor

• Savings in quality control: Reducing extensive and time-consuming laboratory testing.
• Enhanced product quality: Provides reliable steel microstructure prediction for hot strip and plate millsby providing reliable steel microstructure prediction for hot strip mills and plate mills, enhancing product quality.
• Enabling specific process adjustments: OffersBased on real-time insights into material properties or upfront offline investigations , enabling specific process adjustments.

Features of the Microstructure Monitor

• Reliable prediction of mechanical properties: Utilizing advanced neural networks machine learning.
• Online and offline modes: for flexible operations.
• Seamless Integration: for efficient data processing within existing mill systems.