PS-006 Theme: AI/ML & Predictive Decision Support

Automatic Alloy Addition Calculation from Spectrometer Composition

Problem Overview

During melting, spectrometer results indicate the actual chemical composition of molten metal. Determining corrective alloy additions requires calculations based on target chemistry, melt weight and recovery factors. Manual calculation can introduce delay and variation. The challenge is to develop a system that automatically recommends alloy additions from spectrometer results.

Industrial Context & Background

Metallurgy / Process Automation / Decision Support

Technical Requirements

1) Input/integration of spectrometer composition
2) Heat weight and recovery factors
3) Configurable grade recipes
4) User verification
5) Calculation traceability

Suggested Technology Stack: Rules Engine; Metallurgical Calculation Model; Spectrometer/Data Integration

Expected Solution & Prototype

1) Automatic corrective-alloy calculation
2) Grade-wise target chemistry
3) Faster decision support
4) Reduced calculation errors
5) Digital record of recommendations

Team Selection

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Reference Materials
Round 1 Idea Template