TY - JOUR
T1 - Analysis of rotation magnetized direction permanent magnet thrust bearing for maximum characteristics using a complete generalized optimization procedure and a computational framework
AU - Supreeth, D. K.
AU - Bekinal, Siddappa I.
AU - Shivamurthy, R. C.
AU - Vijay, G. S.
AU - Doddamani, Mrityunjay
N1 - Publisher Copyright:
Author
PY - 2023
Y1 - 2023
N2 - This article presents the generalized optimal design procedure and MATLAB app for rotation magnetized direction (RMD) permanent magnet thrust bearing for maximum characteristics based on air gap, outer diameter, and length of a bearing concerning the available space for replacing conventional bearings in industrial applications. To begin with, MATLAB codes for solving the three-dimensional (3D) equations of force and stiffness are developed. Then, the curve fit correlations are established to obtain the optimized design parameters for maximum bearing characteristics. The optimization process is further extended for different aspect ratios and airgap values of the bearing using the curve fit equations of design variables. The proposed pragmatic and generalized optimization procedure is demonstrated using the application examples. Finally, to overcome the process of solving the complex design equations and usage of optimization methods, Industry ready MATLAB app is developed for designing and optimizing the RMD thrust bearing based on only three general parameters (g, D4, and L). The usage of the proposed computational framework in the industry is demonstrated by discussing the case study from the literature.
AB - This article presents the generalized optimal design procedure and MATLAB app for rotation magnetized direction (RMD) permanent magnet thrust bearing for maximum characteristics based on air gap, outer diameter, and length of a bearing concerning the available space for replacing conventional bearings in industrial applications. To begin with, MATLAB codes for solving the three-dimensional (3D) equations of force and stiffness are developed. Then, the curve fit correlations are established to obtain the optimized design parameters for maximum bearing characteristics. The optimization process is further extended for different aspect ratios and airgap values of the bearing using the curve fit equations of design variables. The proposed pragmatic and generalized optimization procedure is demonstrated using the application examples. Finally, to overcome the process of solving the complex design equations and usage of optimization methods, Industry ready MATLAB app is developed for designing and optimizing the RMD thrust bearing based on only three general parameters (g, D4, and L). The usage of the proposed computational framework in the industry is demonstrated by discussing the case study from the literature.
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U2 - 10.1109/ACCESS.2023.3302255
DO - 10.1109/ACCESS.2023.3302255
M3 - Article
AN - SCOPUS:85166743705
SN - 2169-3536
VL - 11
SP - 1
JO - IEEE Access
JF - IEEE Access
ER -