Digital control of wide gamut color spun yarns enabled by four primary grid based mixing model.

Peng Cui, Yuan Xue, Yuchen Liu

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

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

3 authors.

Peng CuiFujian Provincial Engineering Technology Research Center of Industrial Design and Intelligent Manufacturing, Liming Vocational University, No. 298 West Tonggang Street, Quanzhou, 362000, Fujian, China. 20221048@lmu.edu.cn.

Yuan XueSchool of Textile Science and Engineering, Jiangnan University, No.1800 Lihu Ave., Wuxi, 214122, Jiangsu, China. fzxueyuan@jiangnan.edu.cn.

Yuchen LiuSchool of Textile Science and Engineering, Jiangnan University, No.1800 Lihu Ave., Wuxi, 214122, Jiangsu, China.

Funding

Fujian Provincial Engineering Technology Research Center of Industrial Design and Intelligent Manufacturing PT25002 and GCZX202502Intelligent Textile Technology and Flexible Manufacturing Innovation Team under the Quanzhou City High-Level Talent Introduction Program 2024CT019Zhejiang Provincial "Jianbing" and "Lingyan" R&D Program 2022C01188

6 · The paper itself

Abstract

This paper introduces a digital control system for producing wide-gamut color-spun yarns by integrating a four-primary (Cyan, Magenta, Yellow, Grey) grid-based mixing model with a three-channel computer numerical control (CNC) rotor spinning system. The framework was validated by producing and testing 90 systematically varied yarn samples. The resulting yarns demonstrated precise, predictable colors, with exceptional agreement between the predicted model and measured fabric colors across the entire gamut. Furthermore, comprehensive testing confirmed that the yarns' mechanical properties, evenness, and hairiness meet or exceed industry standards. This research provides a systematic, mathematically rigorous approach that transforms color-spun yarn production from a craft-based process into a precision-controlled digital manufacturing technology.

Indexed as

Color-spun yarnsDigital textile manufacturingThree-channel numerical control spinningWide-gamut color mixing

Identifiers

PMID41094025

DOI10.1038/s41598-025-19972-x

PMCPMC12528671

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.