Evidence map›Paper›PMID 34577660›Full record

ArticleMicromachines2021

Multistage Digital-to-Analogue Chip Based on a Weighted Flow Resistance Network for Soft Actuators.

Zhou Zhou, Manman Xu, Chenlin Zhu, Gonghan He, Kunpeng Zhang, Daoheng Sun

Abstract read
In one paragraph

Article in Micromachines, 2021. 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

6 authors.

Zhou ZhouDepartment of Mechanical Engineering, Anhui Ploytechnic University, Wuhu 241000, China.ORCID 0000-0003-2799-516X
Manman XuDepartment of Mechanical Engineering, Anhui Ploytechnic University, Wuhu 241000, China.
Chenlin ZhuDepartment of Mechanical Engineering, China Jiliang University, Hangzhou 310000, China.
Gonghan HeShenzhen Research Institute of Xiamen University, 19th Gaoxin South Fourth Road, Shenzhen 518000, China.
Kunpeng ZhangFujian Engineering and Research Center of Intelligent Sensing and Control for High-End Equipment, Xiamen University, Xiamen 361000, China.
Daoheng SunFujian Engineering and Research Center of Intelligent Sensing and Control for High-End Equipment, Xiamen University, Xiamen 361000, China.

Funding

Anhui Polytechnic University research start-up project 2020YQQ029National Natural Science Foundation of China 12002334Natural Science Foundation of Anhui under Grant 1908085QA25
6 · The paper itself

Abstract

A control chip with a multistage flow-rate regulation function based on the correlation between the flow resistance and flow rate has been developed in this article. Compared with the traditional proportional solenoid valve, this kind of flow valve based on microfluidic technology has the characteristics of being light-weight and having no electric drive. It solves such technical problems as how the current digital microfluidic chip can only adjust the flow switch, and the adjustment of the flow rate is difficult. To linearize the output signal, we propose a design method of weighted resistance. The output flow is controlled by a 4-bit binary pressure signal. According to the binary value of the 4-bit pressure signal at the input, the output can achieve 16-stage flow adjustment. Furthermore, we integrate the three-dimensional flow resistance network, multilayer structure microvalve, and parallel fluid network into a single chip by using 3D printing to obtain a modular flow control unit. This structure enables the microflow control signal to be converted from a digital signal to an analogue signal (DA conversion), and is suitable for microflow driving components, such as in microfluidic chip sampling systems and proportional mixing systems. In the future, we expect this device to even be used in the automatic control system of a miniature pneumatic soft actuator.

Indexed as

analog circuitshydraulic actuatorsmicrofluidicsoft robotics

Identifiers

PMID34577660
PMCPMC8465357

What OpenQuestion holds

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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.