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®. |
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XL_ThrustBearing® Software tool
Features:
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NEW in v
3.0,
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Analysis
Output:
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NEW in v
3.0,
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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. |
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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)