Evidence map›Paper›PMID 36124119›Full record

ArticleComputational intelligence and neuroscience2022

Control System Development and Implementation of a CNC Laser Engraver for Environmental Use with Remote Imaging.

Hani Attar, Amer Tahseen Abu-Jassar, Ayman Amer, Vyacheslav Lyashenko, Vladyslav Yevsieiev, Mohammad R Khosravi

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. 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

6 authors.

Hani AttarDepartment of Energy Engineering, Zarqa University, Zarqa, Jordan.ORCID https://orcid.org/0000-0001-8028-7918
Amer Tahseen Abu-JassarFaculty of Computer Science and Information Technology, Ajloun National University, Ajloun, Jordan.ORCID https://orcid.org/0000-0003-3663-9810
Ayman AmerDepartment of Energy Engineering, Zarqa University, Zarqa, Jordan.
Vyacheslav LyashenkoDepartment of Media Systems and Technology, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine.ORCID https://orcid.org/0000-0001-5455-5026
Vladyslav YevsieievDepartment of Computer-Integrated Technologies, Automation and Mechatronics, Kharkiv National University of Radio Electronics, Kharkiv, Ukraine.ORCID https://orcid.org/0000-0002-2590-7085
Mohammad R KhosraviDepartment of Computer Engineering, Persian Gulf University, Bandar Bushehr, Iran.ORCID https://orcid.org/0000-0002-2029-5067

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article is aimed at studying the features of the control systems development for a small-sized Computer Numerical Control (CNC) portative laser engraver. The CNC is implemented in mobile maintenance and repair platforms for remote sensing of the environment where the wild environment may not allow us to access the animals and places. The proposed work in this paper is based on recent research, which shows that applying the automated CNC speeds up the processes of repair, modernizes the equipment size, and significantly reduces the economic costs; accordingly, the authors developed a block diagram of a portable CNC laser engraver. The choice of the hardware was also made, taking into account the possibility of quick replacement in the field, which reduces the repair time and the cost of the developed layout. A control system based on the selected modules was synthesized, and a stability check was carried out using MatLab tools. To check the correctness of the developed control system, the authors developed and assembled an experimental layout to illustrate the results of engraving on such a layout. Finally, the stability and sensitivity of the proposed system have been obtained and proved that the system works in a comfortable zone of stability. The obtained results show that the proposed CNC laser engraver has achieved the expected improvements (high speed, small size, short production and repairing time, minimum human influence factor, and achieving a better outcome).

Identifiers

PMID36124119
PMCPMC9482483

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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.