Evidence map›Paper›PMID 33138311›Full record

ArticleMicromachines2020

Surface Tension-Based Alignment of Microfibers on Hydrophilic-Superhydrophobic Grooved Surfaces.

Bo Chang, Jialong Jin, Quan Zhou

Abstract read
In one paragraph

Article in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Bo ChangCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Jialong JinCollege of Mechanical and Electrical Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
Quan ZhouSchool of Electrical Engineering, Aalto University, FI-00076 Aalto, Finland.ORCID 0000-0002-3819-3878

Funding

Academy of Finland 296250National Natural Science Foundation of China 61703255
6 · The paper itself

Abstract

Alignment and orderly distribution of microfibers have a major effect on the mechanical, electrical, and thermal properties of the fiber reinforced materials, biomimetic materials, and soft microsensors. However, it is still a challenging task to precisely align and distribute microfibers and construct complex patterns. This paper proposes a surface tension-based method to align and orderly distribute microfibers. A model was developed to simulate the surface tension driven alignment of the microfiber. We designed and fabricated hydrophilic-superhydrophobic grooved surfaces. We demonstrated that the microfibers can self-align to the hydrophilic-superhydrophobic grooves with different geometries. We studied the influence of the volume of the droplet and bias on the alignment success rate. The results indicate that the process can tolerate large variations of the bias and the volume, unless the volume is not enough to cover the groove. We further investigated the influence of the width of the groove on the alignment accuracy. The results show that the alignment accuracy is largely depending on the size difference between the groove and the microfiber; the better the size of the groove matches the size of the fiber, the higher the alignment accuracy will be achieved. The proposed method has great potential in construction of complex microstructures using microfibers.

Indexed as

hydrophilic–superhydrophobicmicro assemblymicrofibersmicro groovemicro manipulationorderly distributionrobotic micro assemblyself-alignmentsurface tension

Identifiers

PMID33138311
PMCPMC7716217

What OpenQuestion holds

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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.