ELECTRICA
Original Article

Optimization Design of Micro-Motor Rotor Core Feeding Mechanical System Based on Electrical Automation

1.

Henan Polytechnic Vocational and Technical College, College of Mechanical and Electrical Automation, Nanyang Henan, China

2.

Department of Engineering Metallurgy, University of Johannesburg, Johannesburg, South Africa

3.

National Institute of Technology, Srinagar, India

4.

Department of Computer Science and Engineering, National Institute of Technology Sringar, India

ELECTRICA 2022; 22: 421-427
DOI: 10.5152/electrica.2022.22042
Read: 233 Downloads: 111 Published: 26 September 2022

This study aims to present the optimization and design of micro-motor rotor core feeding mechanical system based on electrical automation. The methods of iron insulation treatment process for micro-motor rotor design and performance of the mechanical system are used for enhancing the performance. The performance of the micro-motor rotator is tested systematically through continuous operation tests under actual working conditions. To meet the requirements of fast feed and small volume, the results revealed that the feeding speed of the automatic feeding system needs to reach 300 pieces/h in the feeding process. The silver r16-5-500-570-0.05 lead screw is selected which should be 5 mm and the outer diameter of the screw should be 16 mm. The design effectively optimizes the feeding mechanical system of the micro-motor rotor iron core and improves the automation degree of the micro-motor rotor production process, which in turn improves the production efficiency and quality and reduces the cost. The present study revealed that in comparison with manual feeding and receiving, the micro-rotor saves labor, and if the optimization is enhanced effectively, it will be productive for future usage to meet contemporary demands.

Cite this article as: L. Yuan, P. Kumar, M. Elizabeth Makhatha, M. Wasim Bhatt, A. Mehbodniya and J. L. Webber, “Optimization design of micro-motor rotor core feeding mechanical system based on electrical automation,” Electrica, 22(3), 421-427, 2022.

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EISSN 2619-9831