Evidence map›Paper›PMID 34067759›Full record

ArticleSensors (Basel, Switzerland)2021

A Novel Multi-Axial Pressure Sensor Probe for Measuring Triaxial Stress States Inside Soft Materials.

Giuseppe Zullo, Anna Leidy Silvestroni, Gianluca Candiotto, Andrey Koptyug, Nicola Petrone

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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

5 authors.

Giuseppe ZulloDepartment of Industrial Engineering, University of Padua, Via Venezia 1, 35131 Padua, Italy.ORCID 0000-0002-0837-6489
Anna Leidy SilvestroniDepartment of Industrial Engineering, University of Padua, Via Venezia 1, 35131 Padua, Italy.
Gianluca CandiottoDepartment of Industrial Engineering, University of Padua, Via Venezia 1, 35131 Padua, Italy.
Andrey KoptyugDepartment of Quality and Mechanical Engineering, Mid Sweden University, Campus Östersund Kunskapens väg 8, SE-831 25 Östersund, Sweden.ORCID 0000-0003-2964-9500
Nicola PetroneDepartment of Industrial Engineering, University of Padua, Via Venezia 1, 35131 Padua, Italy.ORCID 0000-0002-6638-484X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the concept, design, construction, and validation of a novel probe based on the hexadic disposition of six pressure sensors suitable for measuring triaxial stress states inside bulky soft materials. The measurement of triaxial stress states inside bulk materials such as brain tissue surrogates is a challenging task needed to investigate internal organs' stress states and validate FE models. The purpose of the work was the development and validation of a 17 × 17 × 17 mm probe containing six pressure sensors. To do so, six piezoresistive pressure sensors of 6 mm diameter were arranged into an hexad at three cartesian axes and bisecting angles, based on the analytical solution of the stress tensor. The resulting probe was embedded in a soft silicone rubber of known characteristics, calibrated under cyclic compression and shear in three orientations, and statically validated with combined loads. A calibration matrix was computed, and validation tests allowed us to estimate Von Mises stress under combined stress with an error below 6%. Hence, the proposed probe design and method can give indications about the complex stress state developing internally to soft materials under triaxial high-strain fields, opening applications in the analysis of biological models or physical surrogates involving parenchyma organs.

Indexed as

pressure sensorshear stresssoft materialsstress statetissue surrogates

Identifiers

PMID34067759
PMCPMC8155985

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.