Evidence map›Paper›PMID 31739512›Full record

ArticleMicromachines2019

Rapid Design and Analysis of Microtube Pneumatic Actuators Using Line-Segment and Multi-Segment Euler-Bernoulli Beam Models.

Myunggi Ji, Qiang Li, In Ho Cho, Jaeyoun Kim

Abstract read
In one paragraph

Article in Micromachines, 2019. 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. Millimeter-scale fluid-driven soft robots.National science review · 2025
    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.

Myunggi JiDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-4780-2556
Qiang LiDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-0701-8479
In Ho ChoDepartment of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-2265-9602
Jaeyoun KimDepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-4449-317X

Funding

National Science Foundation CBET-1605275
6 · The paper itself

Abstract

Soft material-based pneumatic microtube actuators are attracting intense interest, since their bending motion is potentially useful for the safe manipulation of delicate biological objects. To increase their utility in biomedicine, researchers have begun to apply shape-engineering to the microtubes to diversify their bending patterns. However, design and analysis of such microtube actuators are challenging in general, due to their continuum natures and small dimensions. In this paper, we establish two methods for rapid design, analysis, and optimization of such complex, shape-engineered microtube actuators that are based on the line-segment model and the multi-segment Euler-Bernoulli's beam model, respectively, and are less computation-intensive than the more conventional method based on finite element analysis. To validate the models, we first realized multi-segment microtube actuators physically, then compared their experimentally observed motions against those obtained from the models. We obtained good agreements between the three sets of results with their maximum bending-angle errors falling within ±11%. In terms of computational efficiency, our models decreased the simulation time significantly, down to a few seconds, in contrast with the finite element analysis that sometimes can take hours. The models reported in this paper exhibit great potential for rapid and facile design and optimization of shape-engineered soft actuators.

Indexed as

Euler–Bernoulli beam modelline-segment modelmicrotube pneumatic actuatorpoly(dimethylsiloxane) (PDMS)soft robot

Identifiers

PMID31739512
PMCPMC6915588

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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.