Introduction Tilting pad journal bearings (TPJB) support rotating - - PowerPoint PPT Presentation

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Introduction Tilting pad journal bearings (TPJB) support rotating - - PowerPoint PPT Presentation

May 2017 Year VI A CCOUNTING FOR T HERMALLY I NDUCED P AD D EFORMATIONS AND I MPROVING A F EEDING G ROOVE T HERMAL M IXING M ODEL TRC-B&C-01-17 Luis San Andrs Behzad Abdollahi Mast-Childs Professor Graduate research assistant A


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SLIDE 1

ACCOUNTING FOR THERMALLY INDUCED PAD DEFORMATIONS AND IMPROVING A FEEDING GROOVE THERMAL MIXING MODEL

Behzad Abdollahi

Graduate research assistant

Luis San Andrés

Mast-Childs Professor

TRC-B&C-01-17

May 2017 Year VI

A Computational Model for Tilting Pad Journal Bearings

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SLIDE 2

Introduction

Tilting pad journal bearings (TPJB) support rotating machinery with minimal destabilizing forces. Thermal effects

Viscous shearing causes film temperature rise and power loss. High temperature in a pad

(Babbitt liner becomes soft ~121 °C).

 Lubricant loses viscosity. Hot clearance ↓ and preload ↑ to affect the minimum film thickness, load capacity, & bearing force coefficients. x y

Shaft rotation speed, Ω Static load, W Bearing housing Pad Pivot Fluid film Lubricant in the groove Lubricant in the sump Orifice 2

Aim : reduce temperature rise & flow supplied with efficient lubricant delivery arrangements

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SLIDE 3

Introduction

Goal: To accurately predict bearing performance without costly & time extensive tests.

Justification

  • II. Account for temperature

induced deformation of pads, shaft, and housing affecting bearing performance.

  • I. Improve a simple

conventional model for thermal and flow mixing in a groove region.

3

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SLIDE 4
  • Heat flows from film

into shaft and pads.

  • 2D temperature

distribution within a pad:

  • Heat convection

boundary conditions

  • n all sides of a pad.

Temperature Field in Bearing Pads

2 2 2

1 1 T T r r r r r                 

4

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SLIDE 5

Lubricant Mixing in a Feed Groove: Conventional

Thermal mixing with hot oil carry over

𝝁 is an empirical coefficient

( )

sup LE TE sup sup TE LE LE LE

Q Q Q Q T Q T T Q      

  • Required supply flow (Qsup) based only on upstream flow

(QTE) and downstream flow (QLE).

  • What if QLE <  QTE ??
  • During operation actual supply flow may differ from

predicted (during design)

  • In practice, Qsup is controlled by available delivery system,

rarely varying with operating condition.

5

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SLIDE 6

1 2 3 4

2 Sup

Q

3 Sup

Q

4 Sup

Q

4 TE

Q

1 LE

Q

W

1 Sup

Q

2 Sup

Q

3 Sup

Q

4 Sup

Q

Feed Groove

Plenum

1 Sup

Q

total Sup

Q

Lubricant Mixing in a Feed Groove: He et al.

supply flow rate distributes evenly as Operation with journal eccentricity:

  • Pressure rise in a pad → demands of lesser supplied flow
  • Unloaded pads (low pressure) → demand too much lubricant

He, M., Cloud, C. H., Byrne, J. M., and Vazquez, J. A., 2012, 41st Turbomachinery Symposium He, M., Allaire, P., Barrett, L., and Nicholas, J., 2005, Trib. Trans. total sup i sup

Q Q n 

1 4 1

( )

LE TE sup

Q Q Q  

6

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SLIDE 7

Novel Thermal Mixing Flow Model

  • Shear driven flow is proportional to film thickness. ↑demand
  • Film pressure gradient at leading edge induces a reverse flow.

↓demand

  • Flow leaving upstream pad provides enough flow to fill in the

downstream pad at its leading edge film. ↓demand

Introduce a groove demand parameter (Ci) to quantify the need of fresh flow from feed port:

1, , 1 | i shear i i n i i pressure TE

Q C Q Q

 

  

Flow at pad leading edge & trailing edge=

shear flow -/+ pressure flow

, /2 3 , /2 ,

2 12

| |

LE TE LE TE LE TE

shear pressure L s s L

Q Q Q R Lh h P dz R

     

 

             

7

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SLIDE 8

Example : flow fraction (𝜷𝒋) for each feed groove vs. shaft speed & spec. load Total supply flow must meet total demand:

1 n total i i

C C

 

A fraction of total supply flow is allocated to each feed port:

; 1, ,

i total total i sup sup i sup total

C Q Q Q i n C    

Novel Thermal Mixing Model: Flow Distribution

8

  • Equal supply flow distribution at

zero load (centered shaft).

  • As load increases, pad 1 and 2

require of lesser flow, while pad 3 receives most of the lubricant flow.

  • Pad 4 receives a large flow from

upstream pad (3) → low demand

  • f supply (fresh) flow.

4 pad bearing

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SLIDE 9

Example : flow fraction (𝜷𝒋) for each feed groove vs. shaft speed & spec. load Total supply flow must meet total demand:

; 1, ,

i total total i sup sup i sup total

C Q Q Q i n C    

Novel Thermal Mixing Model: Flow Distribution

9

  • Even supply flow distribution at

zero load (centered shaft).

  • Pad 3 (loaded) receives a large

flow from upstream pad → low demand

  • As shaft speed increases, the

flow fraction amongst pads becomes more uniform.

5 pad bearing

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SLIDE 10

Novel Thermal Mixing Model: Flow balance at a port

  • Additional required lubricant

is drawn from churning lubricant in a groove.

Nicholas, J. C., Elliott, G., Shoup, T. P., and Martin, E., 2008, 37th Turbomachinery Symposium Ha, H. C., Kim, H. J., and Kim, K. W., 1995, ASME J. Tribol.

Based on descriptions in:

 

1 1

if

i i i TE sup LE i i i i SL TE sup LE

Q Q Q Q Q Q Q

 

     

 

1 1

if

i i i TE sup LE i i i i gr LE TE sup

Q Q Q Q Q Q Q

 

     

  • Excess supplied flow leaves

a port as a side leakage flow.

ith pad

(downstream)

TE

Q

gr

Q

2

SL

Q

LE

Q

(i-1)th pad

upstream

Sup

Q

10

2

SL

Q

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SLIDE 11

Thermal energy (heat) flows mainly by means of fluid motion,

advection heat transfer mechanism:

Novel Thermal Mixing Model: Energy Balance

p

c Q T    

  • Only inflowing streams (supply and trailing edge from upstream pad)

carry in thermal energy.

  • Mixing efficiency parameter (0<Cgr<1)

Conservation of energy for sub control volumes:

11

Side leakage stream (QSL, TSL) Groove churning stream (Qgr, Tgr)

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SLIDE 12

Control volume analysis:

  • Side leakage oil flow (QSL, TSL)
  • Groove recirculating oil (Qgr,

Tgr)

  • Heat fluxes across the

adjacent pad walls (ΦLE, ΦTE)

Novel Thermal Mixing Model: Final Equation

From conservation of energy, film temperature at downstream pad leading edge:

1 1 i i i i i i i TE LE TE TE sup sup SL SL gr gr p i LE i LE

Q T Q T Q T Q T c T Q 

 

         

12

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SLIDE 13

PREDICTIONS VS TEST DATA

Model Validation

13

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SLIDE 14

Case 1: A Five-Pad TPJB

Hagemann et al. (2013) test a five pad bearing (ID 500 mm) for steam turbine.

Hagemann et al., 2013, GT2013-95004; Kukla et al., 2013, GT2013-95074.

  • Spray bars deliver fresh oil.
  • End baffle seals reduce required supply flow

rate  flooded bearing.

  • Hollow shaft with pressure and displacement sensors is

axially shifted.

  • Uses pressure and film thickness data to derive dynamic

force coefficients.

14

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SLIDE 15

Case 1: Bearing geometry and operating conditions

Shaft rotational speed Ω [RPM] 500–3000 Shaft surface speed ΩR [m/s] 13–79 Specific Load W/(LD) [MPa] 1–2.5 Load orientation LBP Number of pads 5 Shaft diameter [mm] 500 Pad thickness [mm] 72.5 Bearing axial length [mm] 350 Pad arc length 56° Pivot offset 0.6 Preload 0.23 Pad clearance [μm] 300 Lubricant ISO VG32

Cp/R = 0.0012 L/D = 0.7 TEHD predictions include both thermally and pressure induced deformations

15

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SLIDE 16

Case 1: Pad Surface Temperature

15 30 45 60 75

  • 130
  • 30

70 170 Angle (deg) Test data

1 2 3 4 5

Pad Surface Temperature Rise (°C) New model prediction Conventional model prediction, λ = 0.9 Cgr = 0.2

N = 3000 RPM W/(LD) = 2.5 MPa

New model improves

  • ver conventional

model predictions (up to 17 °C). Conventional model predicts supply flow rate 70% larger than actual.

  • Flooded bearing → significant portion of

lubricant leaving each pad (side or axially) is not immediately forced out.

  • Additional required oil to fill unloaded pads

1 & 5 is drawn from the captured oil inside the bearing housing.

16

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SLIDE 17

Case 1: Pad Surface Temperature

15 30 45 60 75

  • 130
  • 30

70 170 Angle (deg) Test data, Q=420 L/min

1 2 3 4 5

Pad Surface Temperature Rise (°C) Prediction, Q=420 L/min Test data, Q=210 L/min Prediction, Q=210 L/min Cgr = 0.2

N = 3000 RPM W/(LD) = 1 MPa

End-seal C/R=0.004

17

Under two flow conditions

Cut supply flow in half → ~ 20 °C temperature raise.

  • Conventional model unable to account

for operation with reduced flow.

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SLIDE 18

20 40 60 80 100

  • 130
  • 30

70 170 Angle (deg)

1500 RPM New model, Q=420 L/min Simple model 3000 RPM 4500 RPM

1 2 3 4 5

Cgr = 0.2

Case 1: Pad Surface Temperature

W/(LD) = 1 MPa Increase shaft speed by 1500 RPM → ~ 20 °C temperature raise. 4500 RPM → Likely pad flow starvation. Conventional model predicts flow!

Pad Surface Temperature Rise (°C) 18

End-seal C/R=0.004

Fix supply flow (420 LPM) and increase shaft speed

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SLIDE 19

Case 2: A Four-Pad TPJB

Coghlan & Childs (2014) test a four pad spherical seat TPJB with various oil feed arrangements and a constant (fixed) supply flow rate.

Coghlan, D. M., and Childs, D. W., 2015, GT2015-42331. Coghlan, D. M., 2014, M.S. Thesis, Texas A&M University.

» Flooded single-orifice (SO), labyrinth end seals » Evacuated leading edge groove (LEG) » Evacuated spray-bar (SB) » Evacuated spray-bar blocker (SBB)

19

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SLIDE 20

Shaft rotational speed Ω [RPM] 7000-16000 Shaft surface speed ΩR [m/s] 38-85 Specific Load W/(LD) [MPa] 0.7-2.9 Load orientation LBP Number of pads 4 Shaft diameter [mm] 101.59 Pad thickness [mm] 190 Bearing axial length [mm] 61 Pad arc length 72° Pivot offset 0.5 Preload 0.3 Pad clearance [μm] 134 Lubricant ISO VG46 Total supply flow (fixed) [LPM] 42 –38

Cp/R = 0.0013 L/D = 0.6

0° 1 2 3 4 θ x W y

Case 2: Bearing geometry and operating conditions

Flooded housing

20

Evacuated housing

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SLIDE 21

10 20 30 40 50 60 70 80 100 200 300 Angle (deg)

Supply Temp. 2.9 MPa 0.7 MPa 2.1 MPa Test Data Predictions 1 2 3 4

N=7000 RPM

Cgr = 0.6 Qtotal=42 L/min

Case 2: Pad Surface Temperature vs. Speed & Load

  • Over-flooded → some oil (side leakage) escapes the

bearing directly without ever lubricating pads.

  • Conventional model predicts a flow 19 LPM lower than

test delivered (42 LPM).

  • Current model shows good agreement with test data.

Pad Surface Temperature Rise(°C)

0° 1 2 3 4 θ x W y

21

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SLIDE 22

22 10 20 30 40 50 60 70 80 100 200 300 Angle (deg)

Supply Temp. 2.9 MPa 0.7 MPa 2.1 MPa Test Data Predictions

Cgr = 0.6 Qtotal=42 L/min

N=16000 RPM

Pad Surface Temperature Rise(°C)

Case 2: Pad Surface Temperature vs. Speed & Load

  • Operation at 2.9 MPa requires more flow (48 LPM) than 42

LPM delivered  Likely oil starvation on pad 4 (unloaded)

  • Large side leakage (QSL) for pad 1 (15 LPM), in conventional

model Qsup=0.

0° 1 2 3 4 θ x W y

There is no recirculation flow (Qgr) in an evacuated housing TPJB.

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SLIDE 23

Case 2: Other Lubricant Delivery Types

10 20 30 40 50 60 70 80 100 200 300 Angle (deg) LEG SBB Test Data

0° 1 2 3 4 θ x W y

1 2 3 4

N=16000 RPM Q=42 L/min SO Cgr=0.9 Cgr=0.5 Cgr=0.2 Q=38 L/min

Pad Surface Temperature Rise(°C)

Model predicts pad temperature with less than 10 °C difference than test data.

23

SO

(single orifice)

SB

(spray bar)

SBB

(spray bar blocker)

LEG

(leading edge groove) Graphics taken from Coghlan, D. M., 2014, M.S. Thesis, Texas A&M University.

Oil feed type influences film temperature due to various factors.

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SLIDE 24

Conclusion

  • For accurate temperature prediction with conventional

thermal mixing model, the predicted flow rate must be same as actual supplied flow.

  • In one example, the novel thermal mixing model improves

temperature prediction by up to 17 °C (37 °C at reduced supply flow).

  • Side leakage flow and groove recirculating flow (flooded

port) have significant influence on the lubricant film temperature.

  • Unlike with hot oil carry over factor , the novel mixing

efficiency parameter (Cgr) does not need tailoring to each

  • perating condition.

24

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SLIDE 25

Recommended thermal mixing efficiency parameter (Cgr)

25

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Single Orifice Spray Bar Spray Bar Blocker Leading Edge Groove Evacuated (w/o end seals) Flooded (w/ end seals)

  • More efficient oil feed type → lowers oil temperature → high Cgr
  • Direct lubrication (evacuated housing) methods (LEG, SB,

SBB) reduce hot oil carry over → side leakage of lubricant carries most of thermal energy form hot upstream oil → Cgr  1 (TSL TTE : exit temperature of upstream pad).

  • Flooded bearing → upstream oil mostly recirculates in a

groove → Cgr  0 (Tgr TTE).

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SLIDE 26

(2016) TL invested 25k to support student developing model for hydrodynamic thrust bearings. Current state of effort follows

26

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SLIDE 27

THERMO-HYDRODYNAMIC (THD) COMPUTATIONAL ANALYSIS OF TILTING PAD THRUST BEARINGS

Rasool Koosha

Graduate research assistant

Luis San Andrés

Mast-Childs Chair Professor TRC-B&C-05-17

May 2017

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SLIDE 28

Introduction

To develop a thermohydrodynamic (THD) predictive tool for thrust bearings.

Goal in 2016

 Pressure generation

  • pressure induced pad and

pivot deformations  Axial force coefficients (K,C)

  • Frequency reduced model

 3D fluid film temperature

  • Viscosity varies across film

 3D pad temperature

  • Thermally induced pad

deformations (not yet included) 28

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SLIDE 29

Status of current model

29

  • Identical pads geometry
  • 2D pressure field, and 3D

temperature distribution in fluid film and pads.

  • Cross film viscosity variation

and turbulence flow.

  • Conventional thermal mixing

model in a feed port.

  • Non linear pivot stiffness model
  • Prediction of film thickness due

to applied load and frequency reduced axial stiffness and damping.

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SLIDE 30

Example: six-pad TPTB

Almqvest et al. (1999) Glavatskih (2002)

 OD 228 mm  ISO VG46 oil 30-40-60 ˚C supply T  measured power loss.  0.5-2.0 MPa applied load  1500-3000 rpm

Almqvist, T., et al., 1999, J. Tribol.; Glavatskih. S. B., 2002, J. Tribol.

Measurement accuracy Pad sub-surface temperature ±1 K Fluid film pressure ±4 % Fluid film thickness ±1.5 µm Power loss ±1 %

30

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SLIDE 31

Pressure field: prediction vs. measurement

1.5 MPa specific load 1.8 kRPM rotor speed 50 ˚C oil supply temperature 31 Pressure transducers Pc 25 and Pc 75 (Pad 4)

TEST DATA: Almqvist, T., et al., 1999, J. Tribol.; Glavatskih. S. B., 2002, J. Tribol.

  • Pressure field is not

symmetric

  • Film peak pressure

moves towards pad’s trailing edge as the applied load increases.

  • Prediction and test peak

pressure differ at most by 8%.

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SLIDE 32

Pad temperature vs. applied load and speed

32 40 ˚C oil supply temperature Thermocouple Tp3 75/75 (Pad 3)

TEST DATA: Almqvist, T., et al., 1999, J. Tribol.; Glavatskih. S. B., 2002, J. Tribol.

  • Peak temperature is at

corner of pad trailing edge / outer diameter.

  • Pad temperature raises

with an increase in applied load and/or rotor speed.

  • Difference between test

and prediction (max 17%) increases with load and rotor speed.

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SLIDE 33
  • Min. film thickness vs. speed and applied load

33 40 ˚C oil supply temperature Displacement sensor (Pad 5)

TEST DATA: Almqvist, T., et al., 1999, J. Tribol.; Glavatskih. S. B., 2002, J. Tribol.

  • Ratio max/min film

thickness increases as applied load increases or rotor speed decreases

  • Pad tilt increases as

rotor speed increases.

  • Difference test and

prediction (max 20%)

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SLIDE 34

Power loss

34

3 krpm rotor speed

  • vs. applied load at two oil inlet temperature

Power loss increases with speed and load. Increase in oil supply temperature increases power loss. Difference test and prediction max 8% at 3krpm and 2.0 MPa.

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SLIDE 35

Proposed Work 2017-2018

Objective: Produce up-to-date predictive computational tool for the analysis of TPTB performance. Tasks:

(a) Account for pads’ elastic deformations due to pressure and

temperature deliver a thermoelastohydrodynamic (TEHD) model. (b) Include thrust collar tilts to quantify TB reaction moments and moment/tilt coefficients. (c) Upgrade Graphical User Interface for XLTRC2

35

Budget

Support for graduate student (20 h/week) × $2,400 ×12 months $ 28,800 Fringe benefits (2.5%) and medical insurance $ 4,995 Travel to (US) technical conference $ 1,200 Tuition & allowable fees $ 9,600 Total Cost:

$44,595

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SLIDE 36

Questions?

Learn more at http://rotorlab.tamu.edu

Thanks Turbomachinery Lab : Dr. Childs