Evidence map›Paper›PMID 36145852›Full record

ArticlePolymers2022

Design of Arbitrary Magnetic Patterns on Magnetic Polymer Composite Objects: A Finite Element Modelling Tool.

Pedro González-Losada, Marco Martins, Elvira Paz, K B Vinayakumar, Domingos Pereira, Ana R Cortez, Diogo Elói Aguiam

Abstract read
In one paragraph

Article in Polymers, 2022. 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

7 authors.

Pedro González-LosadaInternational Iberian Nanotechnology Laboratory, 4700-300 Braga, Portugal.ORCID 0000-0003-4950-2290
Marco MartinsInternational Iberian Nanotechnology Laboratory, 4700-300 Braga, Portugal.ORCID 0000-0002-1531-1675
Elvira PazInternational Iberian Nanotechnology Laboratory, 4700-300 Braga, Portugal.
K B VinayakumarInternational Iberian Nanotechnology Laboratory, 4700-300 Braga, Portugal.
Domingos PereiraCELOPLÁS, Plásticos para a Indústria S.A., Rua de S. Mateus, 4775-127 Grimancelos, Portugal.
Ana R CortezCELOPLÁS, Plásticos para a Indústria S.A., Rua de S. Mateus, 4775-127 Grimancelos, Portugal.
Diogo Elói AguiamInternational Iberian Nanotechnology Laboratory, 4700-300 Braga, Portugal.ORCID 0000-0001-6318-9021

Funding

the European Regional Development Fund (ERDF) Project CELINOV POCI-01-0247-FEDER-042747
6 · The paper itself

Abstract

Magnetic sensor systems integrate a sensing element and magnetic field generators to determine their relative position or to measure movement. Typically, the magnetic fields are produced by permanent magnets, which have high intensity but are hard to machine into custom shapes. However, novel solutions using magnetic polymer composites (MPCs) have emerged as field generators due to their low cost, weight and patterning freedom. Here, we present a finite element model developed in COMSOL Multiphysics that allows the design of complex magnetization patterns on these polymer composites, taking into account the geometries of the parts and the magnetic properties of the materials employed. The model, together with the characterization protocol of the materials, has proved to be capable of predicting the magnetization of polymer composites at different temperatures. In addition, the model incorporates the properties of the magnets used during the magnetization process, such as the size, shape and magnetization, as well as the properties of the surrounding elements. This new model facilitates the design of new polymeric parts with complex shapes and magnetization patterns that can be employed as field generators in magnetic sensing systems.

Indexed as

finite element methodmagnetic polymer compositemagnetic sensormagnetization

Identifiers

PMID36145852
PMCPMC9502312

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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.