• Professor, Mechanical Engineering
  • James J. Cain Professor I
Alan Palazzolo

Educational Background

  • Ph.D., Mechanical Engineering University of Virginia – 1981
  • M.S., Mechanical Engineering University of Virginia – 1977
  • B.S., Engineering Physics University of Toledo – 1976

Research Interests

    • rotordynamics,
    • magnetic bearings, motors, flywheels, electromechanical systems
    • fluid film bearings, seals and impeller flow and forces
    • vibrations, geothermal drilling dynamics
    • hemodynamics, and ventricular and cavopulmonary assist devices
    • computational methods in mechanics.

Industry Experience

    • Bently Nevada Corp. Machinery vibration troubleshooting
    • Allis Chalmers Corp. Machine design
    • Southwest Research Institute. FEM, Vibrations, Machinery vibration troubleshooting
    • NASA Glenn: 3 summers, Summer Faculty Fellow
    • NASA Marshall: 3 summers, Summer Faculty Fellow

Awards & Honors

  • 2016 ASME J. of Tribology, Best paper of the year
  • 2014 ASME J. of Tribology, Best paper of the year
  • 2012 13th International Symposium on Magnetic Bearings, Lifetime achievement award
  • 2006 ASME Fellow
  • 2003 R&D 100 Award, Ultra high temperature magnetic bearing
  • 1999 TEES Senior Fellow

Selected Publications

  • Shin, D., Suh, J. and Palazzolo, A., “Parametric Study of Flexure Pivot Bearing Induced Thermal Bow-Rotor Instability (Morton effect)”. ASME J. of Tribology, TRIB-21-1263
  • Yang, Jongin and Palazzolo, Alan, “Deep convolutional autoencoder augmented CFD thermal analysis of bearings with inter pad groove mixing”, International Journal of Heat and Mass Transfer, Vol. 188, 1 June 2022, 122639 , https://www.sciencedirect.com/science/article/pii/S0017931022001211
  • Kim, Baik Jin, Oh, Joseph and Palazzolo, A., “Test and Theory for a Refined Structural Model of a Hirth Coupling”, ASME J. of Engineering and Gas Turbines for Power, Mar 2022, 144(3): 031027 (11 pages)
  • Li, X. and Palazzolo, A. , “A review of flywheel energy storage systems: state of the art and opportunities”, J. of Energy Storage (Elsevier), Volume 46, February 2022, 103576
  • Yang*, Jongin and Palazzolo, Alan, “Tilt Pad Bearing Distributed Pad Inlet Temperature With Machine Learning—Part II: Morton Effect”, ASME J. Tribology Jun 2022, 144(6): 061801 (20 pages)