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AI for Product Quality Control

Artificial intelligence (AI) emerges as the driving force behind a transformative leap in product quality control within a chemical manufacturing company. Leveraging advanced machine learning algorithms and real-time data analytics, the AI system is seamlessly integrated into the manufacturing process to monitor and optimize product quality. The system autonomously analyzes a myriad of factors, such...

Hydrogen production optimization using ASPEN

The determination of thermodynamic equilibrium within a specific reactor was achieved through the utilization of either the equilibrium constant or the minimization of Gibbs free energy. In the case of methane reforming, the presence of solid carbon as a by-product poses a challenge when using the equilibrium constant approach. This study employed the method of...