Quantifying synergistic initiator interactions in high‐pressure polymerization through reaction‐network analysis

Abstract In high‐pressure free‐radical polymerization, peroxide initiators are routinely blended to improve process performance, yet their synergistic interactions remain insufficiently elucidated. Here, these effects are probed using reaction‐network analysis. Reaction networks of blended initiators were generated with reaction mechanism generator (RMG) and refined through experiments. Network analysis revealed diverse interaction patterns, motivating three complementary metrics to quantify synergy: rate enhancement ( k ‐fold increase), radical generation capacity (GI), and radical persistence. The combined behavior of these metrics distinguishes cooperative synergy from largely independent decomposition. Synergistic enhancement requires meaningful decomposition overlap and the formation of a complementary, stable radical pool. Incorporating the extracted parameters and GI‐corrected radical release into a reactor model enabled formulation optimization. Application to an industrial tubular reactor reduced initiator consumption by over 30% while maintaining conversion and molecular‐weight targets. These findings offer mechanistic insight and practical guidance for initiator design in industrial high‐pressure polymerization.

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Publication Details

Journal
AIChE Journal
Published
2026-02-22
DOI
https://doi.org/10.1002/aic.70308
Primary Topic
Advanced Polymer Synthesis and Characterization
Type
article
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article

Quantifying synergistic initiator interactions in high‐pressure polymerization through reaction‐network analysis

Lu Ren, Yongrong Yang, Tinghao Jia, Jingdai Wang et al.
AIChE Journal
Advanced Polymer Synthesis and Characterization
article

Quantifying synergistic initiator interactions in high‐pressure polymerization through reaction‐network analysis

Lu Ren, Yongrong Yang, Tinghao Jia, Jingdai Wang, Congjing Ren, Yao Yang, Xiaoqiang Fan, Mengen Zhang
article en

Abstract

Abstract In high‐pressure free‐radical polymerization, peroxide initiators are routinely blended to improve process performance, yet their synergistic interactions remain insufficiently elucidated. Here, these effects are probed using reaction‐network analysis. Reaction networks of blended initiators were generated with reaction mechanism generator (RMG) and refined through experiments. Network analysis revealed diverse interaction patterns, motivating three complementary metrics to quantify synergy: rate enhancement ( k ‐fold increase), radical generation capacity (GI), and radical persistence. The combined behavior of these metrics distinguishes cooperative synergy from largely independent decomposition. Synergistic enhancement requires meaningful decomposition overlap and the formation of a complementary, stable radical pool. Incorporating the extracted parameters and GI‐corrected radical release into a reactor model enabled formulation optimization. Application to an industrial tubular reactor reduced initiator consumption by over 30% while maintaining conversion and molecular‐weight targets. These findings offer mechanistic insight and practical guidance for initiator design in industrial high‐pressure polymerization.

AIChE Journal
Zhejiang University of Science and Technology (CN), State Key Laboratory of Chemical Engineering (CN), Zhejiang University (CN)
Affordable and clean energy
Openalex Percentile: Top 45%
Advanced Polymer Synthesis and Characterization
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Quantifying synergistic initiator interactions in high‐pressure polymerization through reaction‐network analysis — Lu Ren, Yongrong Yang, et al. · AIChE Journal (2026) | TGRS Research Map | TGRS