Evidence map›Paper›PMID 40076173›Full record

ArticlePolymers2025

Frontal Polymerization of Epoxy Resins: Kinetic Modeling, Rate Regulation and Curing Process Simulation for Space Manufacturing Applications.

Haisheng Wu, Yizhuo Gu, Xinyu Liu, Chaobo Xin

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Haisheng WuSchool of Materials Science and Engineering, Beihang University, Beijing 100191, China.
Yizhuo GuSchool of Materials Science and Engineering, Beihang University, Beijing 100191, China.ORCID 0000-0001-8614-5179
Xinyu LiuSchool of Materials Science and Engineering, Beihang University, Beijing 100191, China.
Chaobo XinLangfang Feize Composites Technology Co., Ltd., Langfang 065000, China.

Funding

Central Guidance for Local Science and Technology Development Funds Project No. 246Z1501G
6 · The paper itself

Abstract

Frontal polymerization (FP) technology has attracted significant attention as an efficient, low-energy curing method for thermosetting resins. By enabling self-sustaining polymerization reactions, FP significantly reduces curing time and minimizes external energy dependence, making it ideal for in-orbit manufacturing applications. In contrast to traditional curing methods, which are limited by high energy consumption and low efficiency, FP offers a more efficient and flexible alternative. Nonetheless, the FP process is sensitive to material composition, processing and environmental factors, requiring systematic studies to enhance performance. This work focuses on reaction mechanisms, curing kinetics and processing factors of a self-developed FP epoxy resin system. The revealed curing mechanism and kinetics reveals a high initiation energy barrier and rapid curing characteristics, showing appropriate reaction inertness before initiation and stable reaction without continuous external energy input. The influences of initiator concentration and epoxy resin type on polymerization rate and the properties of cured resin were examined. Additionally, a curing simulation method validated by the experiment were employed to analyze the effects of mold material, resin cross-sectional area, initial temperature and environmental conditions on polymerization behavior. The results provide valuable insights for optimizing FP, advancing the understanding of the curing process and improving resin performance in space-based applications.

Indexed as

curing mechanismcuring simulationepoxy resinfrontal polymerization

Identifiers

PMID40076173
PMCPMC11902743

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.