Evidence map›Paper›PMID 39410317›Full record

ArticleMaterials (Basel, Switzerland)2024

An Improved Mampel Model of the Non-Isothermal Crystallization Kinetics of Fiber-Reinforced Thermoplastic Composites.

Zengrui Song, Huiming Ning, Feng Liu, Ning Hu, Youkun Gong

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. 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

5 authors.

Zengrui SongCollege of Aerospace Engineering, Chongqing University, 174 Shazheng St., Shapingba District, Chongqing 400044, China.
Huiming NingCollege of Aerospace Engineering, Chongqing University, 174 Shazheng St., Shapingba District, Chongqing 400044, China.ORCID 0000-0002-1439-7198
Feng LiuCollege of Aerospace Engineering, Chongqing University, 174 Shazheng St., Shapingba District, Chongqing 400044, China.ORCID 0000-0002-2310-3921
Ning HuCollege of Aerospace Engineering, Chongqing University, 174 Shazheng St., Shapingba District, Chongqing 400044, China.ORCID 0000-0002-6444-8467
Youkun GongChongqing Polycomp International Corporation, Chongqing 300401, China.

Funding

Chinese National Natural Science Fund U23A2067, 12227801, 12302167, 32300666Hebei Province Military-civilian Integration Science and Technology Innovation Project SJMYF2022X15National Key Research and Development Program of China 2019YFC0840709Natural Science Foundation of Chongqing cstc2021jcyj-msxmX0199, cstc2021jcyj-msxmX0241the Fund for Innovative Research Groups of Natural Science Foundation of Hebei Province A2020202002the Key Program of Research and Development of Hebei Province 202030507040009Xinjiang Production and Construction Corps Regional Innovation Guidance Program 2022BB004
6 · The paper itself

Abstract

Fiber-reinforced thermoplastic composites (FRTPs) are gaining increasing attention and widespread use in engineering applications due to their high specific strength and stiffness, excellent toughness, and recyclability. The mechanical properties of these composites are closely tied to their crystallization process, making it crucial to accurately describe this phenomenon. Existing theoretical models for analyzing the non-isothermal crystallization of thermoplastic composites often face challenges relating to the complexity of obtaining multiple parameters and the difficulty of achieving a final relative crystallinity of 1. To address these issues, this paper introduces a novel functional form of the crystallization rate parameter

Indexed as

crystallization kineticsnon-isothermalthermoplastic composites

Identifiers

PMID39410317
PMCPMC11477998

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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.