Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/107555
Title: Prediction and measurement of the heat transfer coefficient in a direct oil-cooled electrical machine with segmented stator
Authors: Camilleri, Robert
Beard, Paul
Howey, David A.
McCulloch, Malcolm D.
Keywords: Electric machines
Heat -- Transmission
Cooling
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers
Citation: Camilleri, R., Beard, P., Howey, D. A., & McCulloch, M. D. (2018). Prediction and measurement of the heat transfer coefficient in a direct oil-cooled electrical machine with segmented stator. IEEE Transactions on Industrial Electronics, 65(1), 94-102.
Abstract: The heat transfer coefficient (HTC) is a critical parameter that is required for accurate thermal modeling of electrical machines. This is often achieved from empirical correlations of ideal geometries or computational fluid dynamics (CFD) simulations. This paper presents a novel technique using double-sided thin film heat flux gauges for measuring the HTC from a direct oil-cooled electrical machine with segmented stator. While thin film gauges are often used in transient measurements of the HTC on gas turbine components, their application to electrical machines has been largely unexplored. This is the topic of this paper. Due to the large viscosity of the coolant, the transient technique was found to be inadequate and a steady-state adaptation for oil-cooled machines was developed. This paper explores the challenges linked with this measurement technique when applied to oil-cooled machines, and develops new nondimensional correlations of the Nusselt number with Reynolds number. These correlations are applicable to machines with different geometries, flow, and coolant properties. The experimental results were compared to CFD simulations and existing pipe flow correlations. It is shown that these underpredict the HTC by approximately 60% at Re = 20. The discrepancy gradually decreases to around 10% at Re = 200.
URI: https://www.um.edu.mt/library/oar/handle/123456789/107555
Appears in Collections:Scholarly works - InsAT



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