Evidence map›Paper›PMID 42312697›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2026

Nonintrusive Dynamic Pressure Monitoring of Sloshing Liquid Using a Hierarchically Microstructured Flexible Sensor.

Parul Thapa, Shrutidhara Sarma

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

2 authors.

Parul ThapaDepartment of Mechanical Engineering, IIT Jodhpur, Jodhpur 342030, Rajasthan, India.
Shrutidhara SarmaDepartment of Mechanical Engineering, IIT Jodhpur, Jodhpur 342030, Rajasthan, India.ORCID 0000-0003-4283-3468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring dynamic pressure in sloshing liquids is critical for the safety of storage, transportation, and aerospace systems, as uncontrolled sloshing can increase structural loads and cause vehicle instability or containment failure. Conventionally, such measurements are done using rigid pressure transducers that are flush-mounted through drilled ports. This process disturbs the flow, limits the repositioning of sensors, and is unsuitable for curved or flexible tank surfaces. In this study, a hierarchically microstructured flexible pressure sensor (FlexiHMS) was employed to monitor slosh-induced wall pressures and benchmarked against a commercial piezoelectric (PZT) sensor. Controlled sloshing experiments were conducted in a lab-developed rectangular tank at 22%, 30%, and 70% fill volumes under base excitation from 0.8 to 1.2 times the first-mode natural frequency. Free-decay tests validated the test protocol, where dominant frequencies deviated from theoretical values by less than 5%. FlexiHMS successfully captured peak dynamic pressures ranging over (0.3-127) Pa and closely followed the expected resonant amplification behavior. Frequency-domain analysis using fast Fourier transforms and steady-state boxplots revealed pronounced nonlinear pressure characteristics near resonance, with increased dispersion and intermittency. While both sensors demonstrated repeatable cycle-to-cycle responses across multiple trials, FlexiHMS continued to exhibit a measurable pressure response under conditions where the PZT response diminished, especially at higher fill volumes. Our results highlight the potential of flexible pressure sensors like FlexiHMS for conformal, nonintrusive, dynamic pressure monitoring in fluid-structure interaction systems where conventional rigid sensor mounting is impractical.

Identifiers

PMID42312697
PMCPMC13374381

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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.