AI Automation for Steel Rolling Mills
Tighter tolerances, less scrap, fewer breakdowns — AI delivers the performance edge that steel mills compete on.
Get a Free Mill Operations AuditThe Rolling Mill Performance Gap
India has 1,000+ steel rolling mills, but performance varies dramatically. The top 10% achieve 92%+ yield with 3% scrap rates. The average mill runs at 82% yield with 8-12% scrap. This gap costs the average mill ₹5-15 crore annually in preventable losses. AI closes the gap.
- ✓ Surface inspection AI — cracks, seams, and scale detection at line speed
- ✓ Dimension monitoring — real-time thickness and width control
- ✓ Predictive maintenance — roll wear prediction, bearing failure alerts
- ✓ Energy optimization — reheating furnace AI saves 15-25% fuel
Salem-Proven Steel AI
MNB Research has deployed rolling mill AI across three Salem-district steel mills — India's steel city. Our systems are calibrated for Indian feedstock variability, power quality conditions, and the specific equipment brands common in Indian rolling mills.
Rolling Mill AI Modules
Visual Inspection AI
High-speed cameras detect surface defects at full production speed with zero false positive rate.
Process Control AI
Real-time rolling gap, speed, and tension control for dimensional accuracy and yield optimization.
Predictive Maintenance
Vibration and thermal analysis for rolls, bearings, and gearboxes — prevents unplanned stoppages.
Energy Management AI
Furnace temperature optimization, peak load management, and energy cost forecasting.