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Flagship · Steel EAF Steel & Metallurgy AI

ArcStream: AI-Powered Electric Arc Furnace Optimization

Real-time tracking, prediction, and optimization of steel chemistry, temperature, and tap-to-tap time — deployed at a major European steel producer.

ArcStream EAF — general dashboard overview

The Challenge

The Complexity of Modern EAF Operation

Arc furnaces face increasing pressure to reduce energy consumption, electrode consumption and tap-to-tap time while producing higher-quality steel.

Unstable operation leading to extended tap-to-tap times

Unplanned downtimes from process instability

Manual decisions based on operator experience alone

Hard to predict final steel chemistry and temperature before the tap

Energy waste from non-optimal operating profiles

No standardized best practice across shifts and steel grades

The Solution

ArcStream — L2 Process Package for EAF

ArcStream provides real-time mass and energy balance, a dynamic EAF model forecasting steel temperature and chemistry, endpoint control targeting tap conditions, and a pre-encoded causal graph for what-if simulation.

Dashboard Showcase

Find Your Golden Heats

Plot every heat on throughput (TPH) vs energy efficiency (kWh/t). The model automatically identifies the "Golden Heats" — the top 12% performing heats under similar conditions that operators should replicate. Click any point to inspect its operating parameters.

Golden Heat identification scatter plot — throughput vs energy efficiency

Real-Time Steel Chemistry and Temperature Prediction

The Dynamic EAF Model forecasts steel temperature, weight, chemical composition, meltdown degree, and slag/steel weight continuously — closing the loop with endpoint targets before the tap.

Steel composition prediction — chemical analysis forecast
Steel temperature prediction — forecast curve to tap

From Heat Timeline to Shift Performance

Every heat is tracked as a Gantt — melting, refining, power-on/off, charging, slagging, tapping. Aggregated across shifts and steel grades, you spot systematic bottlenecks and reduce tap-to-tap time by up to 20%.

EAF steel production Gantt — heat timeline with power curves
Tap-to-tap time distribution per steel grade and shift

Safe & Efficient Meltdown

Live melt-down degree with Normal / Warning / Critical zones. Operators see charging, melting, and refining phases in real time — reducing energy waste and preventing dangerous operating conditions.

Steel melt-down degree curve with Normal / Warning / Critical zones

Process Models

ArcStream L2 Process Models

Four interconnected models covering the full heat cycle — from charge-in to tap.

Online Mass & Energy Balance

Real-time mass and energy balance across the full EAF heat cycle — continuously updated from sensor data and charge weights.

Dynamic EAF Model

Forecasting steel temperature, weight, composition, meltdown degree, and slag & steel weight from charge-in to tap.

Endpoint Control Model

Closed-loop control targeting tap temperature, chemistry and weight — reducing chemistry corrections and reblows.

EAF Causal Graph

Pre-encoded DAG of process variables enabling counterfactual analysis and what-if simulation for process engineers.

Results

Measurable Impact Across Every Heat

Deployed at a major European steel producer, ArcStream delivered quantifiable improvements across energy, electrodes, and throughput within the first months of operation.

-20%

Tap-to-tap time

-8%

Energy consumption (kWh/t)

+12%

Electrode life

100%

Heats traceable & analyzable

" ArcStream gave our operators the feedback loop they never had — we now optimize in real time instead of reviewing batches after the fact. "

Process Optimization Lead

European Steel Producer

Ready to Optimize Your EAF Operations?

Talk to our steel industry experts and see how ArcStream can be deployed at your site.