Evidence map›Paper›PMID 31337134›Full record

ArticleMicromachines2019

The Actuation Mechanism of 3D Printed Flexure-Based Robotic Microtweezers.

Alexander Almeida, George Andrews, Devina Jaiswal, Kazunori Hoshino

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 1 institution in 1 country.

Alexander AlmeidaDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
George AndrewsDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
Devina JaiswalDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA.
Kazunori HoshinoDepartment of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA. hoshino@engr.uconn.edu.ORCID 0000-0002-7080-7825
University of Connecticut · US

Funding

National Science Foundation IDBR1555986, CCSS1809047
6 · The paper itself

Abstract

We report on the design and the modeling of a three-dimensional (3D) printed flexure-based actuation mechanism for robotic microtweezers, the main body of which is a single piece of nylon. Our design aims to fill a void in sample manipulation between two classes of widely used instruments: nano-scale and macro-scale robotic manipulators. The key component is a uniquely designed cam flexure system, which linearly translates the bending of a piezoelectric bimorph actuator into angular displacement. The 3D printing made it possible to realize the fabrication of the cam with a specifically calculated curve, which would otherwise be costly using conventional milling techniques. We first characterized 3D printed nylon by studying sets of simple cantilevers, which provided fundamental characteristics that could be used for further designs. The finite element method analysis based on the obtained material data matched well with the experimental data. The tweezers showed angular displacement from 0° to 10° linearly to the deflection of the piezo actuator (0-1.74 mm) with the linearity error of 0.1°. Resonant frequency of the system with/without working tweezer tips was discovered as 101 Hz and 127 Hz, respectively. Our design provides simple and low-cost construction of a versatile manipulator system for samples in the micro/meso-scale (0.1-1 mm).

Indexed as

3D-printingflexuremanipulatormicro/meso-scale manipulationpiezo bimorph actuator

Identifiers

PMID31337134
PMCPMC6681016
OpenAlexW2960996937

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.