Evidence map›Paper›PMID 39870701›Full record

ArticleScientific reports2025

Straightening trajectory of hooked fibers in the fiber transport channel of rotor spinning investigated by fluid solid coupled simulation.

Fengyan Li, Dingtiao Zhang, Qianru Wang, Baoming Zhou, Fang Qiu

Abstract read
In one paragraph

Article in Scientific reports, 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
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0citing papers in PubMed
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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

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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.

Fengyan LiSchool of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China. fengyanli@tiangong.edu.cn.
Dingtiao ZhangSchool of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China.
Qianru WangSchool of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China.
Baoming ZhouSchool of Textile Science and Engineering, Tiangong University, Tianjin, 300387, China.
Fang QiuUnited Testing Services (Jiangsu) Co., Ltd, Suzhou, 215228, China.

Funding

National Natural Science Foundation of China 51403152
6 · The paper itself

Abstract

The airflow in the transport channel contributes to the accelerated straightening of the hooked fibers, which greatly influences the structural properties of the yarn. To study the straightening process of hooked fiber in the fiber transport channel, Altair EDEM 2022 software was used to establish flexible fiber models, and combined with ANSYS Fluent 2022R1 simulation software, the fluid-solid coupling method was used to simulate the air velocity distribution in the fiber transport channel and the straightening process of the hooked fibers in the airflow field. The numerical simulated air flow is verified by Hagen-Poissuille pipe flow equation. The effects of different fiber transport channels on the straightening of various hooked fibers were discussed. The results show that the straightening effect of leading hooked fiber in the airflow field is better than that of trailing hooked fiber with significant straight. In the case of the fiber transport channel with a circular cross-section outlet, the straightening of trailing hooked fiber can be slightly enhanced. Considering the feeding position of fibers transferred from carding roller to inlet of fiber transport channel, the collision of hooked fibers with the wall influences straightening of hook part or even reduces the straightness. Through the comparision on straightness between simulated and the experimental fibers, it is verified the better straightening of leading hooked fiber in the fiber sliver in the channel. The straightening process of hooked fibers influenced by airflow field and input location of fiber transport channel are simulated, which provides a reference for optimizing fiber transport channel structure and spinning prameters.

Indexed as

Fiber straighteningFiber transport channelFluid-solid coupledHooked fibersRotor spinning

Identifiers

PMID39870701
PMCPMC11772832

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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.