Literature DB >> 36124119

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

Hani Attar1, Amer Tahseen Abu-Jassar2, Ayman Amer1, Vyacheslav Lyashenko3, Vladyslav Yevsieiev4, Mohammad R Khosravi5.   

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).
Copyright © 2022 Hani Attar et al.

Entities:  

Year:  2022        PMID: 36124119      PMCID: PMC9482483          DOI: 10.1155/2022/9140156

Source DB:  PubMed          Journal:  Comput Intell Neurosci


  1 in total

1.  Deep learning-based microarray cancer classification and ensemble gene selection approach.

Authors:  Khosro Rezaee; Gwanggil Jeon; Mohammad R Khosravi; Hani H Attar; Alireza Sabzevari
Journal:  IET Syst Biol       Date:  2022-07-04       Impact factor: 1.468

  1 in total

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