High‐pressure ethylene polymerization in tubular reactors: A comprehensive model with prediction of rheological properties using parallel computing

Abstract This study presents a deterministic mathematical model for high‐pressure ethylene polymerization in tubular reactors. The model predicts key parameters including monomer conversion, temperature profile, molar mass distribution, branching index, and rheological properties such as shear viscosity and melt index. This comprehensive approach, implemented with parallel computing tools for efficient model execution, provides insights into the relationships between operating conditions, polymer microstructure, and rheological behaviour, crucial for effective process control in industrial low‐density polyethylene (LDPE) production. Model validation is achieved using experimental data from an industrial reactor. Furthermore, the impact of varying operating conditions, such as solvent and initiator flow rates, on the final polymer properties is analyzed, offering valuable insights for process optimization and product quality enhancement.