Smart Control and Optimization in Polypropylene Plants using AI
Course level:Intermediate
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Smart Control and Optimization in Polypropylene Plants using AI
To equip participants with the knowledge to apply AI in process control, predictive maintenance, and quality enhancement in polypropylene manufacturing.
Material Includes
- Production datasets, AI tools, simulation models, case studies
What I will learn?
- Apply AI in process control and predictive maintenance.
- Monitor catalyst activity and improve polymer production quality.
- Optimize MFI targets and production efficiency using AI.
Course Curriculum
Polypropylene Production Process
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Process flow of polypropylene production and common operational issues.
00:20
AI Monitoring of Catalyst and Reactions
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Use of AI to monitor catalyst activity and polymer chain reactions.
00:20
Predictive Maintenance
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Predictive maintenance for extruders, dryers, and reactors.
00:20
AI-based Quality Prediction
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AI-based quality prediction for MFI (Melt Flow Index) and product grading.
00:20
Real-time Control Systems
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Implementation of real-time control systems powered by AI models.
00:20
Simulation and Optimization
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Simulation: Optimize MFI targets based on historical production data.
00:20
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Requirements
- Minimum of 5 candidates per course
Free
Free access this course
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LevelIntermediate
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Last UpdatedApril 11, 2026
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