Faculty Publications
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Item Optimum Design Methodology for Axially Polarized Multi-Ring Radial and Thrust Permanent Magnet Bearings(Electromagnetics Academy, 2020) Bekinal, S.I.; Doddamani, M.This article deals with the generalized procedure of designing and optimizing multi-ring radial and thrust permanent magnet bearings (PMBs) with an axial air gap for maximum force andstiffness per volume of the magnet. Initially, the procedure of determining optimized design variables inboth the configurations is presented using the MATLAB codes written for solving the three dimensional(3D) equations of force and stiffness in PMB having ‘n’ number of rings on the stator and rotor. Themaximized results of the forces in both radial and thrust multi-ring PMBs are validated with the valuesobtained using finite element analysis (FEA). Then, the correlation between the optimized parametersand the air gap is obtained, and curve fit equations for the same are proposed in terms of stator outerdiameter. Further, curve fit equations establishing the relationship between the maximized bearingfeatures, and the aspect ratio (L/D4) of the bearing are expressed for different values of air gap inboth the radial and thrust bearings. Finally, the generalized method of designing and optimizing themulti-ring PMB is demonstrated with a specific application. A designer can use the presented curvefit equations for optimizing design variables and calculating maximized bearing features in multi-ringradial and thrust PMBs easily just by knowing the bearing features for a single ring pair. © 2020. All Rights Reserved.Item Design and Optimization of Multi-ring Permanent Magnet Bearings for High-speed Rotors - A Computational Framework(Engineered Science Publisher, 2021) Kamath, C.R.; Bhat, R.; Bekinal, S.I.; Vijay, G.S.; Shetty, T.S.; Doddamani, M.This article presents a computational framework (MATLAB app) suitable for the industrial use for selecting optimum multi-ring radial and thrust permanent magnet bearings (PMB) based on two general variables (outer diameter/air gap and length of a bearing). Such an approach eliminates the usage of complex design equations and optimization methods. The detailed methodology adopted in optimizing PMB for maximum characteristics is presented with mathematical equations of force and stiffness. Then, the steps involved in the development of the computational framework are discussed in depth. Further, usage of the computational framework is explained with examples of PMB, and results obtained are validated with the mathematical model results. Regarding the mathematical model results, deviations of 2.22 % and 1.78 % are observed among the maximized radial and axial force values in the app results. Finally, the effectiveness of the proposed framework is demonstrated by discussing the case studies from the literature. © Engineered Science Publisher LLC 2021.