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Yik Ling Lim – Methods and Verification of Loss Breakdown in an AC Brushless PM Soft Magnetic Composite Machine

August 24, 2017 @ 4:10 pm - 4:35 pm


Improving the efficiency and power density of permanent magnet machines has been of growing interest because of the large potential energy and material savings. Accurate and reliable methods of loss separation are required to identify the most significant machine losses to target for reduction in order to increase the efficiency. Machines made with stators of soft magnetic composites can offer higher power density. However, in such machines, the proximity of the rotor and stator windings to the end-caps may elevate the induced eddy-currents in the end-caps, increasing the machine losses. This talk is about a study that investigates the losses of a 9 slot, 8 pole, 400 W, 3,000 rpm surface permanent magnet soft magnetic composite machine with a bonded rare-earth magnet ring rotor. Using a combination of analytical and finite-element modelling, and laboratory experimentation, the losses are characterised. The methods used to determine and separate the losses are described, and the results are then applied to prediction of the machine efficiency. The loss characterisation methodology presented in this talk can be used to analyse and hence improve the performance of other brushless permanent magnet machines.



Yik Ling Lim received the B.Sc. in mathematics and computer science, B.Eng. (first class honours) in computer systems engineering and M.Phil. in electrical and electronic engineering from the University of Adelaide, in 2002, 2007 and 2013, respectively, all on full scholarship. She commenced Ph.D. study in September 2013 on an ARC Grant-funded scholarship.  She has won numerous awards and grants, including a D R Stranks Postgraduate Travelling Fellowship and a Research Abroad travel grant. Her research interests include permanent magnet machines made of soft magnetic composite materials.



August 24, 2017
4:10 pm - 4:35 pm


S112, Engineering South

Research Seminars