Evidence map›Paper›PMID 34357212›Full record

ArticleMicromachines2021

Orthogonal Optimal Design of Multiple Parameters of a Magnetically Controlled Capsule Robot.

Puhua Tang, Liang Liang, Zhiming Guo, Yu Liu, Guanyu Hu

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Puhua TangCollege of Electromechanical Engineering, Changsha University, Changsha 410022, China.
Liang LiangCollege of Electromechanical Engineering, Changsha University, Changsha 410022, China.
Zhiming GuoCollege of Electromechanical Engineering, Changsha University, Changsha 410022, China.
Yu LiuCollege of Electromechanical Engineering, Changsha University, Changsha 410022, China.
Guanyu HuCollege of Electromechanical Engineering, Changsha University, Changsha 410022, China.

Funding

National Natural Science Foundation of China 51875051Natural Science Foundation of Hunan Province 2019JJ40324Scientific Research Foundation of the Hunan Provincial Education Department 19A047 and 20A043
6 · The paper itself

Abstract

Magnetically controlled capsule robots are predominantly used in the diagnosis and treatment of the human gastrointestinal tract. In this study, based on the permanent magnet method, magnetic driving and fluid measurement systems for in-pipe capsule robots were established. Using computational fluid dynamics (CFD) and particle image velocimetry (PIV), the fluid velocity and vorticity in the pipe of the capsule robot were calculated and measured. The running characteristics of the capsule robot were numerically analyzed in the curved pipe and the peristaltic flow. Furthermore, the range and variance method of orthogonal design was used to analyze the influence of four typical parameters (namely, pipe diameter, robotic translational speed, robotic rotational speed, and fluid viscosity) on the three operating performance indicators of the capsule robot (namely, the forward resistance of the robot, fluid turbulent intensity near the robot, and maximum fluid pressure to the pipe wall). In this paper, the relative magnitude and significance of the influence of each typical parameter on different performance indicators of the robot are presented. According to the different performance requirements of the robot, the different four parameter combinations are optimized. It is hoped that this work provides a reference for the selection of the appropriate mucus, translational speed, and rotational speed of the robot when it is working in pipes with different diameters.

Indexed as

capsule robotCFD (computational fluid dynamics)operating performance indicatorsorthogonal designPIV (particle image velocimetry)

Identifiers

PMID34357212
PMCPMC8304884

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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.