Engineering-Mechanism-Driven Modeling of High-Pressure Polymerization Processes: A Comprehensive Review

Abstract This review focuses on recent advances in modeling four typical high-pressure free-radical polymerization processes. A four-step engineering-mechanism-driven modeling framework is proposed. The necessary pressure-dependent relations, including physical properties, phase behavior, thermophysical properties, and reaction kinetics, are also discussed. The review indicates that, for tubular LDPE, a one-dimensional model is generally appropriate for describing the axial property and product evolutions. CFD-based corrections can be introduced in locally nonuniform regions. For autoclave LDPE, CFD is required to identify circulation and dead zones. The resulting information can subsequently be reduced to a multicompartment model. For EVA copolymerization, key modeling requirements include copolymerization kinetics, composition drift, and physical property changes. Supercritical CO2 polymerization represents that, for multiphase systems, the model must additionally couple an equation of state, phase equilibrium with mass transfer, and a population balance model. This review can provide a guide for high-pressure polymerization modeling. Model fidelity is selected according to the required observables, with particular attention to kinetic closure, molecular-structure-dependent rheology, and localized decomposition risks.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2026-11-02
DOI
https://doi.org/10.1021/acs.iecr.6c04132
Primary Topic
Phase Equilibria and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Engineering-Mechanism-Driven Modeling of High-Pressure Polymerization Processes: A Comprehensive Review

Zheng‐Hong Luo, Hui‐Long Wei, Shi-Jiao Li, Jie-He
Industrial & Engineering Chemistry Research
Phase Equilibria and Thermodynamics
article

Engineering-Mechanism-Driven Modeling of High-Pressure Polymerization Processes: A Comprehensive Review

Zheng‐Hong Luo, Hui‐Long Wei, Shi-Jiao Li, Jie-He
article en

Abstract

Abstract This review focuses on recent advances in modeling four typical high-pressure free-radical polymerization processes. A four-step engineering-mechanism-driven modeling framework is proposed. The necessary pressure-dependent relations, including physical properties, phase behavior, thermophysical properties, and reaction kinetics, are also discussed. The review indicates that, for tubular LDPE, a one-dimensional model is generally appropriate for describing the axial property and product evolutions. CFD-based corrections can be introduced in locally nonuniform regions. For autoclave LDPE, CFD is required to identify circulation and dead zones. The resulting information can subsequently be reduced to a multicompartment model. For EVA copolymerization, key modeling requirements include copolymerization kinetics, composition drift, and physical property changes. Supercritical CO2 polymerization represents that, for multiphase systems, the model must additionally couple an equation of state, phase equilibrium with mass transfer, and a population balance model. This review can provide a guide for high-pressure polymerization modeling. Model fidelity is selected according to the required observables, with particular attention to kinetic closure, molecular-structure-dependent rheology, and localized decomposition risks.

Industrial & Engineering Chemistry Research
Shanghai Jiao Tong University (CN), Ningxia University (CN)
Openalex Percentile: Top 26%
Phase Equilibria and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon