Measurement and Prediction of the Journal Circumferential Temperature Distribution for the Rotordynamic Morton Effect Academic Article uri icon

abstract

  • © 2018 by ASME. The journal is the part of a shaft that is inside a fluid film bearing and is usually assumed to be circumferentially isothermal. Recent work has shown that under certain vibration conditions, a significant temperature difference (δT) can develop around the journal circumference. The δT may cause the shaft to bend leading to a synchronous vibration instability problem, termed the "Morton effect" (ME). A test rig was developed to verify the asymmetric journal temperature of the ME and its prediction using a five-pad tilting pad journal bearing (TPJB) operating with an eccentric shaft to replicate a circular vibration orbit. The bearing is tested at various conditions including: supply oil temperature at 28 °C and 41 °C, bearing operating eccentricities of zero and 32%Cb, and rotor speed up to 5500 rpm. The journal temperature distribution is recorded with 20 sensors located around the journal circumference, and the measurements provide a benchmark for predictions from a time transient model with the three-dimensional (3D) fluid and solid finite element method (FEM), and with a simplified ME prediction approach using only steady-state results. The test results follow the predictions exhibiting a sinusoidallike temperature profile around the circumference with an angular lag of the hot spot location behind the high spot location (angular position on the rotor that arrives at the minimum film thickness condition each rotation) by a speed-dependent angle. Increasing the supply oil temperature reduced the journal δT, while increasing the bearing operating eccentricity increased the journal δT. The agreement between the test and predicted results is significantly better for the 3D FEM transient model than for the steady-statebased model in terms of journal δT and hot spot position. An improved version of the latter approach is proposed and yields significantly better correlation with the test measurements.

author list (cited authors)

  • Tong, X., & Palazzolo, A.

citation count

  • 13

publication date

  • May 2018