Evidence map›Paper›PMID 41229000›Full record

ArticleSensors (Basel, Switzerland)2025

Enhancing the Performance and Reliability of an Automotive Reed Sensor Through Spring Integration and Advanced Manufacturing.

Umar Farooq, Valentina Bertana, Sergio Ferrero, Domenico Cantarelli, Luca Costa, Simone Bigaran, Luigi Costa, Luciano Scaltrito

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

8 authors.

Umar FarooqChilab-ITEM Laboratory, Department of Applied Science and Technology (DISAT), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.ORCID 0009-0003-1788-1211
Valentina BertanaChilab-ITEM Laboratory, Department of Applied Science and Technology (DISAT), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.ORCID 0000-0001-5585-9398
Sergio FerreroChilab-ITEM Laboratory, Department of Applied Science and Technology (DISAT), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.
Domenico CantarelliR&D Innovation Department, MISTA S.p.A, Via Roma 79/A, 14040 Asti, Italy.
Luca CostaR&D Innovation Department, MISTA S.p.A, Via Roma 79/A, 14040 Asti, Italy.
Simone BigaranR&D Innovation Department, MISTA S.p.A, Via Roma 79/A, 14040 Asti, Italy.ORCID 0009-0006-7939-0735
Luigi CostaR&D Innovation Department, MISTA S.p.A, Via Roma 79/A, 14040 Asti, Italy.ORCID 0009-0000-1439-0845
Luciano ScaltritoChilab-ITEM Laboratory, Department of Applied Science and Technology (DISAT), Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy.ORCID 0000-0003-3012-8059

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reed sensors play an important role in improving the safety, reliability, and efficiency of modern electric vehicles. Our study evaluates their performance by measuring the switching distance under five different configurations of a cylindrical magnet using a 3D-printed test fixture. Statistical analysis revealed that the right-shift-upward configuration yielded the best performance, significantly reducing the release distance. Building on this, a prototype housing was developed using Selective Laser Sintering with polybutylene terephthalate, and a stainless-steel spring was incorporated to enhance sensitivity and reliability. The spring integration reduced the activation distance to 2.3 mm, which is an improvement of up to 60%, and it also significantly improved the consistency of the results. These outcomes demonstrate a practical method for manufacturing more reliable reed sensors for automotive sensing technology.

Indexed as

additive manufacturingautomotive reliabilitymagnet alignmentreed sensorssensor reliabilityswitching performance

Identifiers

PMID41229000
PMCPMC12611045

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.