Evidence map›Paper›PMID 41315453›Full record

ArticleScientific reports2025

Optimized capacitance sensor configuration with enhanced sensitivity for annular two-phase flow measurement.

Aryan Veisi, Mohsen Hayati

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
–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

2 authors.

Aryan VeisiElectrical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran.
Mohsen HayatiElectrical Engineering Department, Faculty of Engineering, Razi University, Kermanshah, Iran. mohsen_hayati@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel geometric configuration for capacitance-based sensors is presented to measure void fractions in annular two-phase flow systems. The new design significantly enhances sensitivity, surpassing previous configurations, achieving a sensitivity of 2.482 pF. This level of sensitivity represents a considerable improvement compared to conventional designs, enabling more accurate void fraction measurements and enhancing the reliability of phase detection, particularly in industrial applications where high precision is essential. The sensor's innovative geometry was meticulously developed to optimize the electric field distribution, thereby improving the accuracy of void fraction measurements. Experimental validation was conducted using a water-air Two-phase flow setup in an upright tube. The experimental data demonstrated a low relative error, confirming the enhanced performance of the new sensor geometry. The novel sensor configuration offers significant advancements in accurately and reliably measuring void fractions in various industrial applications, particularly in electricity generation facilities, oil refineries, and chemical manufacturing sectors. The novelty of this study lies in the proposed twist-align-shaped electrode geometry, combined with systematic blade optimization and a unified simulation-experimental validation framework, providing enhanced sensitivity and robustness for annular two-phase flow measurement. This work lays the foundation for future developments in sensor technology to improve the monitoring and control of two-phase flow systems.

Identifiers

PMID41315453
PMCPMC12663585

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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.