Evidence map›Paper›PMID 40933591›Full record

Article3D printing and additive manufacturing2025

Effect of Alkalized Straw Fibers on the Properties of Three Dimensional Printed Cementitious Composite.

Anguo Chen, Pengfei Dai, Qifeng Lyu

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 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.

Anguo ChenSchool of Urban Construction, Changzhou University, Changzhou, China.
Pengfei DaiSchool of Environmental Science and Engineering, Changzhou University, Changzhou, China.
Qifeng LyuSchool of Urban Construction, Changzhou University, Changzhou, China.ORCID https://orcid.org/0000-0002-0012-5781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of plant fibers instead of commercial fibers in building materials is environmentally sustainable. Here in this work, the alkalized straw fibers were introduced into the 3D printed cementitious composite to investigate their effect on the properties of the printed composite. The flowability, buildability, and mechanical strengths of the printed composite were tested, and the internal pore distribution was analyzed by X-ray computed tomography. In addition, the straw fibers and printed specimens were tested by X-ray diffraction and scanning electron microscopy. Results showed that, with the increase of straw-fiber content, the flowability of the composites gradually decreased, and the buildability and mechanical strengths first decreased and then increased. Alkaline treatment can improve the crystallinity of cellulose in straw fibers, reduce water absorption, and enhance the bonding performance with the mortar interface. Therefore, compared with the natural-straw-fiber group, the flowability, buildability, and mechanical properties of the alkalized-straw-fiber composites were improved. Specifically, when the content of alkalized straw fiber was 0.4%, the 28 days flexural strength of the fiber alkalized group increased by about 12.6% compared with the natural-straw-fiber group. Microscopically, alkaline straw fibers have better energy absorption and load transfer capabilities inside the composite material, enhancing the toughness of the specimen. Overall, the incorporation of alkalized straw fibers into 3D printed cementitious composites showed better printing, mechanical, and environmental benefits.

Indexed as

3D printingalkaline treatmentmechanical strengthprintabilitystraw fiber

Identifiers

PMID40933591
PMCPMC12417849

What OpenQuestion holds

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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.