Flow, thermal, and vibration analysis using three dimensional finite element analysis for a flux reversal generator

Abstract

This paper presents the simulation of major mechanical properties of a flux reversal generator (FRG) viz., computational fluid dynamic (CFD), thermal, and vibration. A three-dimensional finite element analysis (FEA) based CFD technique for finding the spread of pressure and air velocity in air regions of the FRG is described. The results of CFD are mainly obtained to fine tune the thermal analysis. Thus, in this focus, a flow analysis assisted thermal analysis is presented to predict the steady state temperature distribution inside FRG. The heat transfer coefficient of all the heat producing inner walls of the machine are evaluated from CFD analysis, which forms the main factor for the prediction of accurate heat distribution. The vibration analysis is illustrated. Major vibration sources such as mechanical, magnetic and applied loads are covered elaborately which consists of a 3D modal analysis to find the natural frequency of FRG, a 3D static stress analysis to predict the deformation of the stator, rotor and shaft for different speeds, and an unbalanced rotor harmonic analysis to find eccentricity of rotor to make sure that the vibration of the rotor is within the acceptable limits. Harmonic analysis such as sine sweep analysis to identify the range of speeds causing high vibrations and steady state vibration at a mode frequency of 1500 Hz is presented. The vibration analysis investigates the vibration of the FRG as a whole, which forms the contribution of this paper in the FRG literature.

Keywords

flux reversal generator / air velocity / computation fluid dynamics / thermal analysis / vibration analysis / finite element analysis

参考文献

[1] Deodhar R P, Andersson S, Boldea I, Miller T J E. Flux reversal machine: a new brushless doubly-salient permanent-magnet machine. IEEE Transactions on Industry Applications, 1997, 33(4): 925–934

[2] Wang C, Nasar S A, Boldea I. Vector control of three-phase flux reversal machine. Electric Machines and Power Systems, 2000, 28: 153–166

[3] Andres U S, Almondoz G, Poza J, Ugalde G, Escalada A J. Radial fan simulations by computational fluid dynamics and experimental validation. In: International Conference on Electrical Machine (ICEM). Berlin, Germany, 2014, 2179–2185

[4] Connor P H, Pickering S J, Gerada C, Eastwick C N, Micallef C. CFD modelling of an entire synchronous generator for improved thermal management. In: 6th IET International Conference of Power Electronics, Machinesand Drives (PEMD 2012). University of Bristol, UK, 2012, 1–6

[5] Chong Y C, Echenique Subiabre E J P, Mueller M A, Chick J, Staton D A, McDonald A S. The ventilation effecton stator convective heat transfer of an axial-flux permanent magnet machine. IEEE Transactions on Industrial Electronics, 2014, 61(8): 4392–4403

[6] Srinivas K N, Arumugam R. Analysis and characterization of switched reluctance motors: Part II—flow, thermal, and vibration analyses. IEEE Transactions on Magnetics, 2005, 41(4): 1321–1332

[7] Srinivas K N, Arumugam R. A novel thermal characterization of switched reluctance motors involving computational fluid dynamics. Electric Power Component and Systems, 2004, 32(9): 855–867

[8] Zhang D, Wang F, Kong X. Air friction loss calculation of high speed permanent magnet machines. In: International Conference on Electrical Machines and System. Wuhan, China, 2008, 320–323

[9] Yan Y, Deng Z, Zhang Q, Wang X. Stator vibration analysis of bearingless witched reluctance motor. In: International Conference on Electrical and Control Engineering. Wuhan, China, 2010, 1993–1996

[10] Gan C, Wu J, Shen M, Yang S, Hu Y, Cao W. Investigation of skewing effects on the vibration reduction of three-phase switched reluctance motors. IEEE Transaction on Magnetic, 2015, 51(9): 8203509

[11] Torregrossa D, Peyraut F, Cirrincione M, Espanet C, Cassat A, Miraoui A. A new passive methodology for reducing the noisein electrical machines: impact of some parameterson the modal analysis. IEEE Transactions on Industry Applications, 2010, 46(5): 1899–1907

版权

2016 Higher Education Press and Springer-Verlag Berlin Heidelberg