Evidence map›Paper›PMID 41012242›Full record

ArticlePolymers2025

Extrudability and Mechanical Properties of Wood-Sodium Silicate Composites with Hemp Fiber Reinforcement for Additive Manufacturing.

Nagendra G Tanikella, Alexandra M Lehman-Chong, Armando G McDonald, Michael R Maughan

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Modern Wood-Based Materials for Sustainable Building.Materials (Basel, Switzerland) · 2026
    Article
  2. Article
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

4 authors.

Nagendra G TanikellaDepartment of Mechanical Engineering, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0003-1678-1932
Alexandra M Lehman-ChongDepartment of Mechanical Engineering, University of Idaho, Moscow, ID 83844, USA.
Armando G McDonaldDepartment of Forest, Rangeland, and Fire Sciences, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0001-5877-4082
Michael R MaughanDepartment of Mechanical Engineering, University of Idaho, Moscow, ID 83844, USA.

Funding

Idaho State Board of Education-Higher Education Research Council-IGEM IGEM 20-002National Science Foundation 2119809University of Idaho P3-R1
6 · The paper itself

Abstract

This study investigates the potential of hemp fiber reinforcement in wood-sodium silicate composites for additive manufacturing. It focuses on the impact of hemp fiber length and content on the rheological, flexural, compression properties, and extrudability of the composite. Composites contained varying amounts of sodium silicate (45, 50, 55 wt%) and hemp fibers of varying lengths (1, 3, 5 mm) and amounts (2.5, 5, 10 wt%) along with wood fibers sifted through a 40-mesh sieve. The study shows that higher sodium silicate content significantly increases viscosity while reducing the motor power needed to extrude the composite. Hemp fiber amount positively affects flexural and compression strength, increasing by 31.2% and 35.6%, respectively, with 5 wt% hemp fiber. This improvement in mechanical properties significantly increases the thermoset-based composite's potential for various applications. This study also demonstrates for the first time, the feasibility of using the hemp fiber-reinforced wood-sodium silicate composite for additive manufacturing by successfully depositing a multi-layer sample print and determining its bending strength.

Indexed as

additive manufacturingfiber-reinforced compositeshemp fiberthermosetswood fiber

Identifiers

PMID41012242
PMCPMC12473866

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.