Sentient Science’s Computational Tribologist, ElonTerrell, PhD, for a discussion on comparing bearing performance and failure rates within the new DigitalClone computational testing solution. We compared the performance of 3 unidentified bearing OEMs and display the weibull comparisons. DigitalClone can be used to compare bearings, gears, gearboxes, and drive trains within a software environment to accelerate testing and get new products to market faster. We will examine the different failure modes and look at potential changes to improve component life.
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Comparing Bearing and Gear Options: How to Buy Bearings Based on Life, Not Just Price
1.
2. • What is the #1 failure component in rotating equipment?
• Do you trust your bearings?
• Do you trust you bearing provider?
• Did the life your bearing provider told you actually happen?
• Do they tell you that they make perfect bearings and the reason their
bearings did not last is that you destroy them in your assets?
• Are you able to test bearings in your asset, product or design with the real
loading conditions unique to every fielded asset?
• What is the effect of different oil and additives on your bearings?
• Have you considered Chinese or Indian bearings but were afraid of quality
or counterfeit?
• Does bearing performance anxiety keep you up at night? Look at the clock -
do you know how your fielded bearings are degrading right now and what
that will that cost tomorrow, next month and for the next 20 years?
Why Focus on Bearings?
9/30/2015
How to Buy on Life, Not Just Price
3. 1. How many of my bearings need to be replaced but what cost, life
and size this year and over the next 10-20?
2. Can I negotiate a win-win long term supply contract and warranty
based on my newly gained knowledge on life?
3. How are bearings of the same part number different between
vendors and assets?
4. How much more should I pay my vendor to to provide 2X life?
5. Should I use my current supplier of lubricant and additives or
should that be customized mix to the specific needs of a particular
asset, location and duty cycle?
The Demand for Better Bearings is Forcing OEMS &
Operators to ask Themselves Many Tough Questions
Which Require Bearing Comparisons
9/30/2015
How to Buy on Life, Not Just Price
4. DigitalClone Live UI
Site 1
Site 2
Site 3
Site 4
Site 5
Site 6
Site 7
Site 8
Fleet 1
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How to Buy on Life, Not Just Price
6. Gearbox Bearing Performance Comparison
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How to Buy on Life, Not Just Price
“As Is”
Quantify Impact of: Lubrication change, auto-lubrication systems, uptower change, etc.
Prognostics allows you to quantify “what-if” scenarios to extend RUL.
“To Be”
Years Until Gearbox FailureYears Until Gearbox Failure
7. How to Buy on Life, Not Just Price
GE 1.5MW GEARBOX
Trade-Off Studies Asset/Customer specific trade-off option to confidently
predict impact on life/ROI (e.g. gearbox replacements)
ROI Optimization
All trade-offs based
on ROI at the
individual asset
level/group,
maximizing ROI for
the fleet.
Gearbox Bearing
Configuration Option
September 30, 2015
OEM Configuration
Gearbox w/ OEM 1
Gearbox w/ OEM 2
Gearbox w/ OEM 3
8. 1. The conventional approach to bearing selection is based solely on
bearing engineer experience with limited test data, which can lead to
unexpected performance in the field
2. The same bearing model from different vendors will behave differently in
the field. Sentient provides the ability to understand life and
performance of bearings from multiple vendors, with different lubricants
and additives in your specific asset or system, without physical testing
3. Sentient's computational modeling approach provides the ability to
"virtually test" the effect of operation and maintenance (O&M) changes,
and determine an optimum O&M strategy for life extension and asset
management
3 Key Points
9/30/2015
How to Buy on Life, Not Just Price
9. Challenge of Machinery OEMs
in Bearing Selection
9/30/2015
How to Buy on Life, Not Just Price
Selecting bearings that meet design specifications while balancing
performance and cost
Standard selection criteria include
• Dimensional constraints: inner bore, outer bore, and width
• Tolerance: dimensional accuracy and operating tolerances
• Rigidity: Elastic deformation occurs along the contact surfaces of a bearing’s
rolling elements and raceway surfaces
• Load capacity
10. Conventional Approach to Life Rating
9/30/2015
How to Buy on Life, Not Just Price
Static load rating, C, is defined as the static load which the bearing can
carry for 1,000,000 revolutions with 10% probability of fatigue failure
Bearing life, in millions of revolutions with 10% probability of fatigue
failure:
p
P
C
L
10
P = equivalent bearing load, kN
p = 3 for ball bearings
10/3 for roller bearings
11. Empirical Adjustments to Life Ratings
9/30/2015
How to Buy on Life, Not Just Price
Adjustments are made to life ratings based upon materials and operating conditions
aM = Adjustment for material
- Factor of 1.0 for vacuum-degassed steels
- Factor for premium steels is 0.6-1.0
aL = Adjustment for lubrication conditions
- Determined by lubricant
film parameter, Λ = h/Rq
12. Limitations of Conventional Approach
9/30/2015
How to Buy on Life, Not Just Price
Lack of accounting of varying operating conditions
• Operating temperature
• Misalignment
Lack of accounting of internal features
• Surface finish (roughness, skewness, kurtosis)
• Surface coatings
• Roller crowning
Lack of accounting of material characteristics
• Grain size distribution
• Presence of inclusions and defects
• Residual stress distribution
100X - Case-Core Transition
13. Parameter Conventional Sentient DigitalClone
Varying Load Yes Yes
Varying Speed No Yes
Lubricant No Yes
Surface Finish No Yes
Microgeometry No Yes
Material Quality No Yes
Sentient vs. Conventional Approach
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How to Buy on Life, Not Just Price
14. Sentient’s Technical Approach
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How to Buy on Life, Not Just Price
Tribological Analysis
and Failure Prediction
Material and Surface
Characterization
Component-Level
Analysis
System-Level Analysis
15. Sentient’s Technical Approach
9/30/2015
How to Buy on Life, Not Just Price
Tribological Analysis
and Failure Prediction
Material and Surface
Characterization
System-Level Analysis
Component-Level Analysis
16. Sentient’s Technical Approach
9/30/2015
How to Buy on Life, Not Just Price
Tribological Analysis
and Failure Prediction
Component-Level
Analysis
System-Level Analysis
-700
-600
-500
-400
-300
-200
-100
0
100
200
0 50 100 150
ResidualStress,MPa
Subsurface Depth, µm
Residual Stress
Material Quality
Surface Roughness
100X
Non-metallic
Inclusion
Material and Surface
Characterization
17. Subsurface Crack Network
Interfacial Contact Pressure and Subsurface Stress
Sentient’s Technical Approach
9/30/2015
How to Buy on Life, Not Just Price
Material and Surface
Characterization
Component-Level
Analysis
System-Level Analysis
Tribological Analysis and
Failure Prediction
18. All Bearings are NOT Created Equal…
9/30/2015
How to Buy on Life, Not Just Price
Bearing material microstructure, surface finish, and material quality impact life…depending upon location
and stresses experienced
Here’s how some of these factors can influence life for a wind turbine gearbox bearing
Stress / Life Curve
Bearing
Supplier
Hardness (Ra)
Range 0 to
4500 um
depth
Microstructure
Inclusions
Microstructure
Quality
Supplier
1
60–58 HRC
Supplier
2
60-53 HRC
(Design
requirement >58
HRC)
DigitalClone®Simulation
HSS Bearing DigitalClone Comparison
BEST BEST BEST
Stress / Life Curve
Cycles to Damage (L66)
MaxContactPressure(MPa)
Stress – Life Curve
Supplier 2
Better Life
BetterStressPerformance
BEST
Supplier 1
19. New Prognostic Solution to Predict Failures
• Prognostics vs. Diagnostics
• Data Model versus Material Science Model - Compatible
• Calculates Remaining Useful Life (RUL) and Recommends Options to Extend Life.
• Simulates “what if” scenarios to optimize performance.
• Enables efficient Asset Management.
• Reduces the Time and Cost of Physical Design Testing
How to Buy on Life, Not Just Price
9/30/2015
20. Bearing Selection: Model Designators
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How to Buy on Life, Not Just Price
Cylindrical roller bearing
Lips on outer ring
Width series 0
Diameter series 3
70 mm bore (14x5)
N U 2 143
Bearing models have standard designators that are universal to all
major manufacturers
[code for bearing type][code for bearing cross section][code for bore size]
21. Case Study: Tapered Roller Bearings in Industrial
Application
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How to Buy on Life, Not Just Price
FEA Analysis
0
500
1000
1500
2000
2500
3000
3500
IR OR
DB_Inboard
Equivalent Crown R
KOYO NTN TIM
Microgeometry Measurements
Supplier A Supplier B Supplier C
EquivalentCrown
Radius(mm)
Bearing-Shaft Assembly
22. Material Model Development
• Industrial bearing was used for microstructure residual stress, chemical and micro-
hardness analysis
• Optical zoom microscopy, scanning electron microscopy (SEM), Inverted microscopy,
optical profilometry, and micro-hardness testing are used for characterization
• Goal is to identify key microstructural features, input to DigitalClone fatigue damage
simulation, based on ASM standards
9/30/2015
How to Buy on Life, Not Just Price
As-Received EDM
Sectioned
23. Supplier A Supplier B Supplier C
Surface Roughness Measurement
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How to Buy on Life, Not Just Price
25. 9/30/2015
How to Buy on Life, Not Just Price
40
45
50
55
60
65
0 500 1000 1500 2000
RockwellHardness
Subsurface Depth (µm)
Supplier A
Supplier B
Supplier C
-1000
-800
-600
-400
-200
0
200
0 20 40 60 80 100 120 140 160 180 200
ResidualStress(MPa)
Subsurface Depth (µm)
Supplier A
Supplier B
Supplier C
Subsurface Hardness and Residual Stress
26. Deterministic Mixed-EHL
How to Buy on Life, Not Just Price
Physics-based modeling of
interfacial surface contact,
frictional heating, and lubrication
Contact Pressure
Asperity Contacts
Lubricant
Pressurization
Surface
Deflection
Piezoviscosity
Asperity
Contact
30. Operating Condition 1: Low Gear, Left Misalignment
DigitalClone Prediction of Bearing Life
Supplier A
Supplier C
Supplier B
9/30/2015
How to Buy on Life, Not Just Price
31. Supplier A
Supplier B
Supplier C
DigitalClone Prediction of Bearing Life
Operating Condition 2: High Gear, Right Misalignment
9/30/2015
How to Buy on Life, Not Just Price
32. 1. The conventional approach to bearing selection is based solely on
bearing engineer experience with limited test data, which can lead to
unexpected performance in the field
2. The same bearing model from different vendors will behave differently in
the field. Sentient provides the ability to understand life and
performance of bearings from multiple vendors, with different lubricants
and additives in your specific asset or system, without physical testing
3. Sentient's computational modeling approach provides the ability to
"virtually test" the effect of operation and maintenance (O&M) changes,
and determine an optimum O&M strategy for life extension and asset
management
3 Key Points
9/30/2015
How to Buy on Life, Not Just Price
Editor's Notes
Should I simply change the bearing material to a super material and request a specific surface treatments such as carburization, super-finish, coatings or textures?
7. Could this mix of materials and surface treatments be my unique competitive advantage lowering my cost per hour to maintain equipment?
8. Should I add a torque damper to control loads?
9. Can I solve for White Etching and other specific failure modes?
10. Can I easily change these bearings in the field or do I wait for the re-manufacturing step?
11. How far ahead should I plan my bearing buys? Will the suppliers have inventory available for me if other operators needs those bearings at the same time?
12. How much should I pay for a full wrap warranty from my OEM compared to doing it myself?
13. Given this new information is available, should I change the bonus income for my team based on 1 year and multi-year targets.
14. Should I setup a meeting with my team to open discussion and ask them some of these questions.
Take off NextEra
Make Site 1, 2, 3
Replace with GE
It’s a PhD in the application.
Sophisticated technology that runs the simulations. Technical differentiaton.
But you don’t need to be a PhD or engineer to make decisions based on this. Easy to use.
Ultimately, marry the life (engineering information) with ROI (financial information)
Add polling slide after each point
1-What are the typical problems with the classical approach?
2-Are these operating conditions important to you?
3-If we are able to help you determine bearing differences, would you be interested in taking a closer look?
Key 1: Based on experiments in nature and assumptions are often made
Classic -> conventional
Conventional – on some parameters, the detail is limited
Remove bearing supplier names
Possibly include statistical summary…Ra, Rq, Sk, Ku
Combine 30 and 32 or 31 and 32
Combine 31 and 33
Supplier A - Micrograph’s illustrating size and morphology of non-metallic inclusions. Dual phase inclusions were observed close to the contact surface.
Inclusion Size=14.15um; Area Fraction=0.36%
Supplier C - Micrograph’s illustrating size and morphology of non-metallic inclusions in NTN Inner race. Presence of large amount of inclusions was noticed close to the contact surface
Supplier A: Micro-hardness meets design specifications
Case and core hardness was 60HRC and 44 HRC, respectively
Case depth: 800.00 m
Supplier B: Micro-hardness meets design specifications
Through hardened Koyo bearing, 61-60 HRC
Supplier C: Micro-hardness is slightly below the spec
Case and core hardness was 57HRC and 45 HRC, respectively
Case depth: 912.00 m
Compared to Suppliers B and C, Supplier A’s bearing had higher surface and slightly subsurface compressive stresses – improves fatigue performance
Show crack animations for each of the three bearings
Show crack animations for each of the three bearings
Show crack animations for each of the three bearings
Operational Conditions: Low gear, normal loading, left misalignment
For this case, Supplier B bearing fatigue performance is superior compared to Suppliers A and C
Supplier C bearing has higher contact stress
Supplier A: Pmax = 3293.7 MPa
Supplier B: Pmax = 3350.7 MPa
Supplier C: Pmax = 3532.6 MPa
Supplier B bearing fatigue life scatter is relatively higher due to lower inclusion size density, less probability of having inclusions at subsurface maximum shear stress location
Operational Conditions: High gear, worst loading, right misalignment
Supplier C bearing has higher contact stress
Supplier A: Pmax = 3315.1 MPa
Supplier B: Pmax = 3364.1 MPa
Supplier C: Pmax = 3534.1 MPa
Add polling slide after each point
1-What are the typical problems with the classical approach?
2-Are these operating conditions important to you?
3-If we are able to help you determine bearing differences, would you be interested in taking a closer look?
Key 1: Based on experiments in nature and assumptions are often made