Reducing Scrap by 35%: How AGC Transforms Rolling Mill

A leading European aluminum producer implemented LGE's closed-loop AGC system with nGauge thickness sensors. Within six months, they achieved a 35% reduction in off-gauge scrap, annual savings, and a payback period of just 9 months. This case study reveals the implementation process and key success factors. The facility produced aluminum sheets for automotive applications with tolerance requirements of ±0.5%. However, manual sampling and reactive adjustments resulted in 8.5% of production falling outside spec, requiring costly rework or scrapping.

The Solution: LGE nGauge with AI-Enhanced AGC

LGE installed four nGauge X-ray thickness sensors at key positions (entry, interstand, and exit) connected to a centralized AGC controller with machine learning feedforward algorithms. The system predicts thickness deviations based on upstream process parameters and adjusts roll gap within 50ms.

Measurable Results After 6 Months

  • Scrap reduction: 35% (from 8.5% to 5.5%)
  • Thickness tolerance capability (Cpk): improved from 0.85 to 1.42
  • Payback period: 9 months
  • ROI over 3 years: 380%

Key Takeaway: Real-time AGC with high-speed thickness feedback is the single most effective investment for rolling mill efficiency.