Evidence map›Paper›PMID 42277170›Full record

ArticleScientific reports2026

Numerical investigation of subtle feature of geometry effects on magneto-active elastomer cylindrical actuators.

Sandeep Kumar, Ramesh Gupta Burela, Arpit Kumar Srivastava

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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

3 authors.

Sandeep KumarDepartment of Mechanical Engineering, Shiv Nadar University, Dadri, India.
Ramesh Gupta BurelaDepartment of Civil Engineering, NITTTR, Bhopal, India.
Arpit Kumar SrivastavaDepartment of Mechanical Engineering, Shiv Nadar University, Dadri, India. arpit.srivastav@snu.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magneto-active elastomers (MAEs) are smart composite materials capable of undergoing large deformation when subjected to external magnetic fields, making them attractive for soft actuation and adaptive structures. In this study, a nonlinear finite element framework is developed to investigate the magnetically induced deformation behaviour of cylindrical MAE actuators subjected to radial magnetic loading. The magneto-mechanical response of the material is described using a continuum magneto-elastic constitutive model implemented through a user-defined material subroutine (VUMAT) within the ABAQUS/Explicit environment. The developed numerical model is used to examine the influence of the dimensionless geometric parameters α and β, representing the diameter-to-length and thickness-to-length ratios, on the deformation and stress distribution of the actuator. Parametric studies reveal that increasing these geometric aspect-ratio parameters significantly enhances circumferential deformation while producing localized circumferential stress concentration near the fixed boundary, which is identified as a critical region for failure initiation in practical actuator designs. The results further demonstrate a nonlinear interaction between actuator geometry and magnetic loading that strongly influences actuator performance. The findings provide insight into the role of geometry in magnetically driven soft actuators and offer useful guidelines for the design and optimization of MAE-based cylindrical actuation systems.

Indexed as

Finite element modellingMagneto-active elastomersMagneto-elasticitySoft actuatorsSoft robotics

Identifiers

PMID42277170
PMCPMC13503887

What OpenQuestion holds

Textmetadata
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.