Experimental Characterization and Modeling of Thermal Contact Resistance of Electric Machine Stator-to-Cooling Jacket Interface Under Interference Fit Loading | Zendy

Emily Cousineau | Zendy; Kevin Bennion | Zendy; Victor Chieduko | Zendy; Rajiv Lall | Zendy; Alan T. Gilbert | Zendy

Open Access

Experimental Characterization and Modeling of Thermal Contact Resistance of Electric Machine Stator-to-Cooling Jacket Interface Under Interference Fit Loading

Author(s) -

Emily Cousineau,

Kevin Bennion,

Victor Chieduko,

Rajiv Lall,

Alan T. Gilbert

Publication year - 2018

Publication title -

journal of thermal science and engineering applications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.41

H-Index - 27

eISSN - 1948-5093

pISSN - 1948-5085

DOI - 10.1115/1.4039459

Subject(s) - stator , materials science , contact resistance , mechanical engineering , thermal resistance , thermal , reliability (semiconductor) , computer cooling , electric motor , interference (communication) , interface (matter) , thermal contact conductance , electric machine , automotive engineering , composite material , power (physics) , electrical engineering , engineering , thermal management of electronic devices and systems , physics , channel (broadcasting) , layer (electronics) , quantum mechanics , meteorology , capillary number , capillary action

Cooling of electric machines is a key to increasing power density and improving reliability. This paper focuses on the design of a machine using a cooling jacket wrapped around the stator. The thermal contact resistance (TCR) between the electric machine stator and cooling jacket is a significant factor in overall performance and is not well characterized. This interface is typically an interference fit subject to compressive pressure exceeding 5 MPa. An experimental investigation of this interface was carried out using a thermal transmittance setup using pressures between 5 and 10 MPa. The results were compared to currently available models for contact resistance, and one model was adapted for prediction of TCR in future motor designs.

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