Evidence map›Paper›PMID 37687873›Full record

ArticleSensors (Basel, Switzerland)2023

Investigation on the Effective Measures for Improving the Performance of Calorimetric Microflow Sensor.

Jiali Qi, Chun Shao, Wei Wu, Ruijin Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. 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

4 authors.

Jiali QiSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Chun ShaoSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Wei WuSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.
Ruijin WangSchool of Mechanical Engineering, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0002-6114-3326

Funding

National Natural Science Foundation of china 12002389, 52275182,11572107the Key R&D Program of Zhejiang Province 2023C01009, 2023C01136
6 · The paper itself

Abstract

The performance of the calorimetric microflow sensor is closely related to the thermal sensing part design, including structure parameter, heater temperature, and operation environment. In this paper, several measures to enhance the performance of the calorimetric microflow sensor were proposed and further verified by numerical simulations. The results demonstrate that it is more favorable to reduce the negative impact of flow separation as the space between detectors and heater is set to be 1.6 μm so as to improve the accuracy of the sensor. With an appropriate gap, the front arranged obstacle of the upstream detector can effectively widen the measure range of the sensor, benefiting from the decrease in upstream viscous dissipation. Compared to a cantilever structure, the resonances can be effectively suppressed when the heater and detectors are designed as bridge structures. In particular, the maximum amplitude of the bridge structure is only 0.022 μm at 70 sccm, which is 53% lower than that of the cantilever structure. The optimized sensor widens the range by 14.3% and significantly increases the sensitivity at high flow rates. Moreover, the feasibility of the improved measures is also illustrated via the consistency of the trend between the simulation results and experimental ones.

Indexed as

calorimetric microflow sensormeasure rangesensitivityvibration amplitudeviscous dissipation

Identifiers

PMID37687873
PMCPMC10490643

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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.