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Title

Designing of the electromechanical drive for automated hot plate welder using load optimization with Genetic Algorithm

Authors

[ 1 ] Instytut Konstrukcji Maszyn, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.8] Mechanical engineering

Year of publication

2022

Published in

Materials

Journal year: 2022 | Journal volume: vol. 15 | Journal number: iss. 5

Article type

scientific article

Publication language

english

Keywords
EN
  • hot plate welding
  • plasticization
  • automated device
  • butt welding
  • drive belts
  • thermo-weldable belts
  • electromechanical drive system
  • optimization
  • genetic algorithm
  • design of the drive system
  • kinematic structure
Abstract

EN Drive and conveyor belts are widely used in the mining and processing industry. One of the types often used is the belt with a cross-section and a diameter of several millimeters, made of weldable thermoplastic elastomer. Their production process requires the joining of the ends to obtain a closed loop. This operation is often performed by butt welding using the hot plate method. Taking into account the industrial requirements, the authors made an effort to design the automated welding machine for this type of belt. The work that had been conducted was finished with the implementation of the device for serial belt production. One of the stages of the design process of the welding machine consisted of developing a solution for the electromechanical drive system. The paper presents a design and the selection of the key components of the drive system, in particular, the electrical executive elements. Firstly, on the basis of the functional requirements of individual working mechanisms, the kinematic structure of the drives was developed, and the influence of the workload on power consumption was described. Then, using known technological parameters, experimental research of the plasticization operation was performed. On the basis of the results obtained, a mathematical model of the correlation between the plasticization force and technological parameters was derived. Using the derived model, the optimization of the technological parameters was made by using a genetic algorithm. The work led to the choice of an effective electric motor, which is the main component of the designed drive system.

Pages (from - to)

1787-1 - 1787-37

DOI

10.3390/ma15051787

URL

https://www.mdpi.com/1996-1944/15/5/1787

Comments

article number: 1787

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Full text of article

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Access level to full text

public

Points of MNiSW / journal

140.0

Impact Factor

3.623 [List 2020]

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