Browsing by Author "Kamath, C.R."

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    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.
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    Dynamic force modelling and experimental analysis of reaming
    (Engineered Science Publisher, 2021) Kamath, C.R.; Bekinal, S.I.; Bhat, R.; Naik, N.; Kuttan, A.
    The production Reaming process plays a vital role in several applications, ranging from automotive to medical sectors. It is performed to enlarge the pre-drilled hole to obtain its required diameter within the specified tolerance limits. The typical operational faults found in the reaming process significantly contribute to damage in the final hole quality. Thus, a dynamic force model is developed in the present work to predict the cutting forces developed during the reaming process. The inputs to the model are broadly classified into tool geometry and vibration system elements. The cutting forces acting in all three directions during the reaming are predicted. The double modulation principle is applied to develop the dynamic force model for computing the cutting forces in the reaming process. The dynamic force model thus developed and simulated using MATLAB® R2019b is examined and validated through actual experiments for no fault conditions. The results obtained infer a high degree of fitness between the values obtained from the developed mechanistic model and the experimental values with a prediction error of less than 5%. © 1999. The American Astronomical Society. All rights reserved.