Evidence map›Paper›PMID 40647874›Full record

ArticlePolymers2025

Modeling and Compensation Methods for Trajectory Errors in Continuous Fiber-Reinforced Thermoplastic Composites Using 3D Printing.

Manxian Liu, Sheng Qu, Shuo Li, Xiaoqiang Yan, Wei Li, Yesong Wang

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

6 authors.

Manxian LiuSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0002-9988-8243
Sheng QuSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Shuo LiSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Xiaoqiang YanSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Wei LiSchool of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China.ORCID 0000-0001-5117-9221
Yesong WangSchool of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212000, China.

Funding

National Natural Science Foundation of China 52475049
6 · The paper itself

Abstract

Defects arising from the 3D printing process of continuous fiber-reinforced thermoplastic composites primarily hinder their overall performance. These defects particularly include twisting, folding, and breakage of the fiber bundle, which are induced by printing trajectory errors. This study presents a follow-up theory assumption to address such issues, elucidates the formation mechanism of printing trajectory errors, and examines the impact of key geometric parameters-trace curvature, nozzle diameter, and fiber bundle diameter-on these errors. An error model for printing trajectory is established, accompanied by the proposal of a trajectory error compensation method premised on maximum printable curvature. The presented case study uses CCFRF/PA as an exemplar; here, the printing layer height is 0.1~0.3 mm, the fiber bundle radius is 0.2 mm, and the printing speed is 600 mm/min. The maximum printing curvature, gauged by the printing trajectory of a clothoid, is found to be 0.416 mm

Indexed as

3D printingcontinuous fiber prepreg filamentprocess parameterstrajectory error compensation methodstrajectory error modeling

Identifiers

PMID40647874
PMCPMC12251597

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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.