SUBJECT: Ph.D. Dissertation Defense
BY: Ke Xiao
TIME: Tuesday, October 30, 2018, 1:30 p.m.
PLACE: Love Building, 295
TITLE: Rotor Ventilation System in Large-scale Air-cooled Turbo-generators
COMMITTEE: Dr. J.Rhett Mayor, Chair (ME)
Dr. Sheldon M. Jeter (ME)
Dr. Mostafa Ghiaasiaan (ME)
Dr. Yogendra Joshi (ME)
Dr. Thomas G.Habetler (ECE)


The increasing demand for more electricity have brought about the need for improved rotor ventilation performances of the large industrial turbo-generators. Overheating in the rotor endturn region under the expected operating conditions is one of the major ventilation concern for the air-cooled machines, but a fast and accurate temperature monitoring method is not yet available. The rotor endturn coil temperature evaluations are currently heavily relied on the time-consuming computational fluid dynamics simulations, which posses difficulties in the rotor ventilation design. This presented work develops a fast-solving analytical predictor, which can estimate the rotor end-arc coil temperatures at the expected operating conditions. The developed analytical predictor is aimed to be able to estimate end-arc coil temperature within ±5 degrees of Celsius error.