Optimal Design of a Novel Magnetic Twisting Device based on NSGA-II Algorithm

• Autorzy: Qiao Xu , Yuchen He , Shunqi Mei , Zhen Chen , Shaojun Wang , Xuemei Tang

Identyfikatory

DOI

10.2478/aut-2021-0026

• Języki publikacji: EN

Abstrakty

EN

This paper presents a novel magnetic twisting device with a coaxial double rotor based on non-contact transmission characteristics of magnetic drive technology. When the twisting device rotates one cycle, the yarn can get triple twists. This means the new device can twist three times more than what the traditional single twist does. The structure of the magnetic twisting device is designed according to the twisting principle. The influence of main structural parameters on the magnetic torque is analyzed. To optimize the maximum transmission torque and the minimum magnet volume, the multi-objective optimization design model for the twisting device is established. Main parameters such as the relative angle of active disc assembly and passive disc assembly, the thickness of magnet, and the average radius of the magnet distribution are optimized by NSGA-II algorithm. Optimization results show that the proposed structural optimization design of a twisting device based on the magnetic drive has excellent performance and is effective for industrial application.

Słowa kluczowe

EN

magnetic twisting; magnetic torque; optimal design; NSGA-II algorithm

PL

skręcanie magnetyczne; moment magnetyczny; optymalny projekt; algorytm NSGA-II

• Wydawca: Lodz University of Technology, Faculty of Material Technologies and Textile Design
• Czasopismo: Autex Research Journal
• Rocznik: 2022
• Tom: Vol. 22, no. 2
• Strony: 194--200
• Opis fizyczny: Bibliogr. 30 poz.

Twórcy

autor

Qiao Xu

• School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, Hubei 430070, China
• Hubei Digital Textile Equipment Key Laboratory, Wuhan, Hubei 430070, China

autor

Yuchen He

• School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, Hubei 430070, China

autor

Shunqi Mei

• School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, Hubei 430070, China
• Hubei Digital Textile Equipment Key Laboratory, Wuhan, Hubei 430070, China

autor

Zhen Chen

• School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, Hubei 430070, China
• Hubei Digital Textile Equipment Key Laboratory, Wuhan, Hubei 430070, China

autor

Shaojun Wang

• The Industrial Technology Department, Southeast Missouri State University, USA

autor

Xuemei Tang

• School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, Hubei 430070, China

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).