Title: Simulation and parametric optimal design of active radial magnetic fluid bearing

Authors: Liwen Chen; Jianhua Zhao; Xiaochen Wu; Jisheng Zhao; Jia Deng

Addresses: College of Mechanical Engineering, North China University of Science and Technology, 21 Bohai Avenue, Caofeidian New Cith, Tangshan, China; College of Mechanical Engineering, Yanshan University, 438 West Section, Hebei Street, Qinhuangdao, China ' College of Mechanical Engineering, Yanshan University, 438 West Section, Hebei Street, Qinhuangdao, China; Jiangsu Provincial Key Laboratory of Advanced Manufacture and Process for Marine Mechanical Equipment, 666 Changhui Road, Dantu New District, Zhenjiang, China ' CCTEG Tangshan Research Institute, 21 West Section, Xinhua Street, Tangshan, China ' Tangshan Engine Automobile Factory, 3 Changqian Road, Fengrun District, Tangshan, China ' College of Mechanical Engineering, North China University of Science and Technology, 21 Bohai Avenue, Caofeidian New Cith, Tangshan, China

Abstract: This paper designs a magnetic-fluid bearing with electromagnetic-static pressure dual support, and designs the structural parameters of the radial magnetic-hydraulic bearing. Based on the optimal bearing capacity, MATLAB is used to optimise the bearing cavity diameter and oil film thickness, and it is concluded that the bearing capacity is better when the diameter of the bearing cavity is 10 mm and the thickness of the oil film is 30 μm. Then, the fluid-solid-thermal coupling analysis of the magnetic fluid bearing was carried out, using Ansys software analysed the influence of structural parameters on the bearing temperature rising and thermal deformation, and it was concluded that the thermal deformation of the magnetic fluid bearing was the smallest when the oil film thickness was 30 μm and the axial length of the stator was 45 mm. These lay a theoretical basis for the structural optimisation design of the bearing.

Keywords: magnetic fluid bearing; parametric design; bearing capacity analysis; structural parameter optimisation; fluid-solid-thermal coupling.

DOI: 10.1504/IJMIC.2024.135543

International Journal of Modelling, Identification and Control, 2024 Vol.44 No.1, pp.77 - 87

Received: 29 Sep 2022
Received in revised form: 01 Nov 2022
Accepted: 07 Nov 2022
Published online: 18 Dec 2023 *

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