Evidence map›Paper›PMID 39741546›Full record

Article3D printing and additive manufacturing2024

Thermomechanical Properties of Polyjet Voxel-Printed Parts and the Effect of Percolation.

Chengyeh Ho, Jiali Bao, Jing Xu

Abstract read
In one paragraph

Article in 3D printing and additive manufacturing, 2024. 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. 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

3 authors.

Chengyeh HoState Key Laboratory of Tribology, Department of Mechanical Engineering, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-2997-2351
Jiali BaoState Key Laboratory of Tribology, Department of Mechanical Engineering, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-3891-3767
Jing XuState Key Laboratory of Tribology, Department of Mechanical Engineering, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China.ORCID https://orcid.org/0009-0001-2246-6587

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of deformable materials in 3D printing has allowed for the fabrication of intricate soft robotics prototypes. Polyjet technology, with its ability to print multiple materials in a single print, has been popular in creating such designs. Vero and Agilus, the commercial materials provided by Polyjet, possess shape memory properties, making Polyjet ideal for high-precision and transformable applications. Voxel printing, where users assign materials to voxels, has allowed for the further expansion of design possibilities by tuning the properties of the jetted material. This study aims to investigate how different compositions of uniformly distributed Vero and Agilus voxels affect the thermomechanical properties of the voxel-printed part. In addition, high stiffness Vero droplets surrounded by a soft matrix of Agilus resemble polymer composites, thus calling for the examination of percolation, which is an important phenomenon in polymer composites. The study explores the presence of percolation in voxel-printed mixtures of Vero and Agilus and its impact on mechanical properties. Using dynamic thermomechanical analysis and thermomechanical analysis, the study characterizes the glass transition temperature (

Indexed as

percolationPolyjetshape memory polymersthermomechanical propertiesvoxel printing

Identifiers

PMID39741546
PMCPMC11683442

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.