XL_ThrustBearing®: A Computational Physics Analysis Tool for Tilting Pad Thrust Bearings (both regular and self-equalizing types).

 

Sponsors:

1.      Texas A&M Turbomachinery Laboratory (2016-2017),

2.   Texas A&M University Turbomachinery Research Consortium (TRC, 2017-2019) 

 

 

Goal:

To build a comprehensive computational tool for prediction of the static and dynamic load performance of thrust bearings and further integrate it into XLTRC2® software package.

 

 

 

Resources:

1. XL_TRC2®.

 

XL_ThrustBearing® Software tool

Features:

  • Analysis in both SI and US metric system.
  • Analysis for tilting pad (1D and 2D tilting, rocker back and flexure pivot) and fixed geometry (taper land) TBs.
  • 2D hydrodynamic pressure: Accounts for cross film viscosity variation.
  • 3D temperature in the fluid film (thermal energy transport equation).
  • Analysis in both laminar and turbulent flow regimes.
  • 3D heat conduction in a pad with specified sides’ temperature.
  • Temperature dependent oil viscosity.
  • In-house Finite Element model of pad temperature induced (thermal) and pressure induced (mechanical) deformations: High accuracy.
  • Simplified analytical model for pad temperature and pressure induced deformations based on Euler Bernoulli beam theory: Rapid analysis.
  • Accounts for Babbitt or liner (PEEK or PTFE) pad top layer in both thermal and pad deformation analyses.
  • Pivot stiffness is included in the frequency reduced model for a variety of commonly used pivot types.
  • Perturbation Analysis: Delivers equivalent frequency reduced force coefficients (stiffness and damping) for thrust collar axial displacements.

NEW in v 3.0,

  • Analysis for self-equaling tilting pad thrust bearings.
  • Multiple-pad analysis: Accounts for thrust collar misalignment (tilt angle).
  • Accounts for friction forces acting at the contact area of the leveling plates.
  • Implements leveling plates geometry model from commercial 3D modeling packages: Eliminates geometry simplification.
  • Hertz contact analysis: Delivers peak pressure and deformation at the leveling plates contact points and pivot.

 

Analysis Output:

  • Minimum film thickness and pads’ tilt angles.
  • Drag power loss and drive torque.
  • Demand for supply flow rate.
  • Peak pressure and maximum pad temperature.
  • Flow condition: laminar or turbulent.
  • Pivot deflection .
  • Peak pad deformations, induced due to pressure and temperature changes.
  • Bearing axial stiffness and damping coefficients.

NEW in v 3.0,

  • Leveling plates tilt angle and displacements.
  • Forces and moments acting on the leveling plates.
  • Peak pressure and deformation at the contact lines of the leveling plates.
  • Pressure and deformation at the pivot of the leveling plates.

 

Validation of Predictions

Versus Ansys®:

Predictions of pad top surface elastic deformations for (top) a cylindrical pivot TPTB, and (bottom) a spherical pivot TPTB. Comparison between commercial software and in-house FE model (graphs in middle and right side). Supply temperature = 46°C, Rotor speed = 3 krpm and specific load = 1.0 MPa.

 

 

Versus Test Data:

a) Pad temperature rise

TEHD predicted pad subsurface temperature rise derived from both a laminar flow model and a turbulent flow model vs test data for a six-pad TPTB [30]. Supply temperature = 46°C.

 

 

b) Pressure field

TEHD predicted oil film pressure along the circumferential length of the pad at the 25% (top) and 75% (bottom) of the radial length vs test data for a six-pad TPTB operating under 0.5, 1.0, 1.5, and 2.0 MPa of specific load per pad. Rotor speed = 3 krpm, supply temperature = 40 ˚C.

c) Film Thickness

TEHD predicted oil film thickness at the mean radius of the pad leading edge (top) and trailing edge (bottom) vs test data for a six-pad TPTB. Supply temperature = 40 ˚C.

 

 

 

 

Further Predictions from XL_ThrustBearing® for an Example Self-Equalizing Tilting Pad Thrust Bearing

Predicted fluid film thickness field (left) and pressure field (right) for a TPTB of (a) regular type, (b) self-equalizing type without including contact friction forces, and (c) self-equaling type with contact friction forces included. Bearing operates with 0.01° thrust collar (static) misalignment. Rotor speed = 4krpm, specific load per pad = 2 MPa, µ= 0.2.

 

 

Predicted fluid film temperature field (left) and pad temperature field (right) for a TPTB of (a) regular type, (b) self-equalizing type without including contact friction forces, and (c) self-equaling type with contact friction forces included. Bearing operates with 0.01° thrust collar (static) misalignment. Rotor speed = 4krpm, specific load per pad = 2 MPa, µ=0.2.

 

 

Predicted fluid film temperature field (left) and pad temperature field (right) for a TPTB of (a) regular type, (b) self-equalizing type without including contact friction forces, and (c) self-equaling type with contact friction forces included. Bearing operates with 0.01° thrust collar (static) misalignment. Rotor speed = 4krpm, specific load per pad = 2 MPa, µ= 0.2.

 

 

Predicted pad minimum fluid film thickness for self-equalizing TPTB operating under light to heavy applied loads vs sliding friction coefficient. Bearing operates with 0.01° thrust collar (static) misalignment. Applied load per pad = 1 MPa to 3 MPa and rotor speed = 4krpm.

 

 

 

Predicted fluid film pressure on a pad for self-equalizing TPTB operating under light to heavy applied loads vs sliding friction coefficient. Bearing operates with 0.01° thrust collar (static) misalignment. Applied load per pad = 1 MPa to 3 MPa and rotor speed = 4krpm.

 

 

Predicted pad mechanical deformation for self-equalizing TPTB operating under light to heavy applied loads vs sliding friction coefficient. Bearing operates with 0.01° thrust collar (static) misalignment. Applied load per pad = 1 MPa to 3 MPa and rotor speed = 4krpm.

 

Publication ŕ Learn more:

1.      Koosha, R., and San Andres, L., 2019, “Effect of Pad and Liner Material Properties on The Static Load Performance of A Tilting Pad Thrust Bearing,” ASME Turbo-Expo 2019, Paper No. GT2019-90231 (Recommended for journal publication).

 

2.      R. Koosha, L. San Andrés, 2019 “On the Static Load Performance of a Large Size, Heavily Loaded Spring Supported Thrust Bearing”, STLE 74th Annual Meeting & Exhibition, May 19-23, Nashville, Tennessee, USA.

 

3.      San Andres, L., and Koosha, R., 2018, “A Thermo-Elasto-Hydrodynamic (TEHD) Computational Analysis of Tilting Pad Thrust Bearings: Analytical and FE Pad Structure Models,” Annual Progress Report to Turbomachinery Research Consortium, TRC-B&C-01-018, Texas A&M University, College Station, USA. URL: http://hdl.handle.net/1969.1/175255.

 

4.      San Andres, L., and Koosha, R., 2017, “Thermo Hydrodynamic (THD) Computational Analysis for Tilting Pad Thrust Bearings (TPTBs),” Annual Progress Report to Turbomachinery Research Consortium, TRC-B&C-05-017, Texas A&M University, College Station, USA. URL: http://hdl.handle.net/1969.1/175131.

 

 

Original by Rasool Koosha (September 2019)