Evidence map›Paper›PMID 38894231›Full record

ArticleSensors (Basel, Switzerland)2024

Design and Manufacture of Multifunctional 3-D Smart Skins with Embedded Sensor Networks for Robotic Applications.

Elliot Ransom, Xiyuan Chen, William Mangram, Amir Nasrollahi, Tanay Topac, Fu-Kuo Chang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Elliot RansomDepartment of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.
Xiyuan ChenDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-0948-2611
William MangramDepartment of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.
Amir NasrollahiDepartment of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-8826-661X
Tanay TopacDepartment of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-8304-0910
Fu-Kuo ChangDepartment of Aeronautics and Astronautics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0003-3546-1539

Funding

National Science Foundation Grant IIS-1528145United States Air Force Office of Scientific Research Sponsor Award 3003832414
6 · The paper itself

Abstract

An investigation was performed to develop a process to design and manufacture a 3-D smart skin with an embedded network of distributed sensors for non-developable (or doubly curved) surfaces. A smart skin is the sensing component of a smart structure, allowing such structures to gather data from their surrounding environments to make control and maintenance decisions. Such smart skins are desired across a wide variety of domains, particularly for those devices where their surfaces require high sensitivity to external loads or environmental changes such as human-assisting robots, medical devices, wearable health components, etc. However, the fabrication and deployment of a network of distributed sensors on non-developable surfaces faces steep challenges. These challenges include the conformal coverage of a target object without causing prohibitive stresses in the sensor interconnects and ensuring positional accuracy in the skin sensor deployment positions, as well as packaging challenges resulting from the thin, flexible form factor of the skin. In this study, novel and streamlined processes for making such 3-D smart skins were developed from the initial sensor network design to the final integrated skin assembly. Specifically, the process involved the design of the network itself (for which a physical simulation-based optimization was developed), the deployment of the network to a targeted 3D surface (for which a specialized tool was designed and implemented), and the assembly of the final skin (for which a novel process based on dip coating was developed and implemented.).

Indexed as

deploymentdesignnetworkoptimizationPZTsensorsmart structure

Identifiers

PMID38894231
PMCPMC11175095

What OpenQuestion holds

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LicenceCC BY
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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.