XtalPi and Fangda Carbon deployed a predictive AI model for graphite electrode manufacturing. The model passed acceptance testing and is now in production. It forecasts performance and screens formulations before physical trials. The system meets cost optimization targets. It also enables rapid evaluation of substitute raw materials. The deployment establishes a scalable foundation for XtalPi’s industrial AI business. The model uses Fangda Carbon’s six decades of manufacturing data. It combines performance forecasting, optimization algorithms, and expert rules. Validation confirmed required predictive accuracy across key indicators. The partners plan to expand the system into comprehensive formulation design.
What changed
Formulations were reassessed through slow and expensive physical trials.
What it unlocks
Rapidly evaluating substitute raw materials and blend proportions before physical trials.
What you need to act on it
- Fangda Carbon's proprietary manufacturing data
- XtalPi's AI and data engineering capabilities
Sources