Evidence map›Paper›PMID 36677076›Full record

ArticleMicromachines2022

Matching the Optimal Operating Mode of Polydimethylsiloxane Check Valves by Tuning the Resonant Frequency of the Resonator in a Piezoelectric Pump for Improved Output Performance.

Jian Chen, Fanci Meng, Zihan Feng, Wenzhi Gao, Changhai Liu, Yishan Zeng

Abstract read
In one paragraph

Article in Micromachines, 2022. 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

6 authors.

Jian ChenSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Fanci MengSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Zihan FengSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Wenzhi GaoSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Changhai LiuSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.
Yishan ZengSchool of Mechanical Engineering, Hefei University of Technology, Hefei 230009, China.

Funding

China Postdoctoral Science Foundation 2019M662138Fundamental Research Funds for the Central Universities JZ2022HGTB0245National Natural Science Foundation of China 51905145
6 · The paper itself

Abstract

This paper proposes to improve the output performance of a piezoelectric pump by matching the resonant frequency of the resonator to the optimal operating mode of bridge-type polydimethylsiloxane (PDMS) check valves. Simulation analyses reveal that the side-curling mode of the PDMS valve is conducive to liquid flow and exhibits a faster frequency response compared with the first bending mode. The first bending resonant frequency of a beam-type piezoelectric resonator was tuned close to the side-curling mode of the PDMS valve by adjusting the weight of two mass blocks installed on both ends of the resonator, so that both the resonator and the valve could work at their best conditions. Experiments were conducted on a detachable prototype piezoelectric pump using PDMS valves with three different lengths. The results confirm that the peak flowrate at the resonant point of the pump reaches its maximum when the resonant frequencies between the resonator and the valve are matched. Maximum peak flowrates of 88 mL/min, 72 mL/min and 70 mL/min were achieved at 722 Hz, 761 Hz and 789 Hz, respectively, for diaphragm pumps using five-, four- and three-inlet-hole PDMS valves, under a driving voltage of 300 V

Indexed as

PDMS check valvepiezoelectric pumpresonant frequency matchingside-curling mode

Identifiers

PMID36677076
PMCPMC9866841

What OpenQuestion holds

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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.