Evidence map›Paper›PMID 40461750›Full record

ArticleScientific reports2025

Exhaustive analysis and simple model of an angular displacement optical fiber sensor.

Gorka Zubia, Joseba Zubia, Josu Amorebieta, Gotzon Aldabaldetreku, Gaizka Durana

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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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

5 authors.

Gorka ZubiaDepartment of Graphical Expression and Project Engineering, University of the Basque Country UPV/EHU, Bilbao, 48013, Spain. gorka.zubia@ehu.eus.
Joseba ZubiaDepartment of Communications Engineering, University of the Basque Country UPV/EHU, Bilbao, 48013, Spain.
Josu AmorebietaDepartment of Applied Mathematics, University of the Basque Country UPV/EHU, Bilbao, 48013, Spain.
Gotzon AldabaldetrekuDepartment of Communications Engineering, University of the Basque Country UPV/EHU, Bilbao, 48013, Spain.
Gaizka DuranaDepartment of Communications Engineering, University of the Basque Country UPV/EHU, Bilbao, 48013, Spain.

Funding

Basque Government IT11452-22ELKARTEK 2023 µ4Smart-KK-2023/00016European Regional Development Fund A way of making EuropeEuskal Herriko Unibertsitatea TranslightMinisterio de Ciencia, Innovación y Universidades TED2021-129959B-C21
6 · The paper itself

Abstract

Accurate tilt-angle measurement is vital in applications ranging from aerospace to civil infrastructure monitoring, especially under harsh conditions where conventional inclinometers may fail. Here, we present a comprehensive analytical model for multi-axis tilt sensing based on intensity-modulated optical fiber sensors (OFDSs). By capturing how a Gaussian beam, reflected from a tilted target, couples into arrays of receiving fibers, our model bridges geometric fiber parameters, numerical aperture, and target distance to predict the measured power for various tilt angles and axes. We validate its performance experimentally using multiple fiber-bundle configurations: bifurcated, trifurcated, differential, symmetrical, and quasi-random 19-fiber arrangements, demonstrating accurate operation up to [Formula: see text] tilt over distances of up to 15 mm. In each case, the theoretical predictions match well with measured data, showing that differential or concentric fiber layouts suppress noise and eliminate ambiguities in tilt-direction detection. A [Formula: see text] parametric sweep shows that NA drift contributes [Formula: see text] signal change, while core- and spacing-tolerances each add [Formula: see text], confirming that the sensor retains its specified accuracy when fabricated with standard-spec fibers. Compared to existing fiber-optic and mechanical inclinometers, our approach is simpler to fabricate, can be tailored to specific operational ranges, and remains reasonably resilient under the tested [Formula: see text] variations. Moreover, we show how multi-fiber geometries enable axis-wise tilt discrimination and improved sensitivity through differential measurements. These findings highlight the potential for cost-effective, real-time, multi-axis tilt sensors that can address Industry 5.0 and advanced physics lab instrumentation needs. Future work will extend the sensor to larger angular spans and complex reflective surfaces, aiming to further broaden its applicability and reach.

Indexed as

Intensity modulated optical sensorOptical fiber devicesOptical fiber displacement sensorOptical fiber sensorsOptical instrumentationPhotonic sensorStructural health monitoring

Identifiers

PMID40461750
PMCPMC12134115

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LicenceCC BY
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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.