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October 2006 | Page 1Reliability Presentation – SAE Meeting, Reno, NV
Failure Mode BasedOptimization of Durability and Reliability Validation Programs
SAE Ground Vehicle Reliability Committee Presentation
Dr. Klaus Denkmayr
Reno, October 23rd, 2006
October 2006 | Page 2Reliability Presentation – SAE Meeting, Reno, NV
Content
AVL‘s Reliability Engineering Process
The Load Matrix – Failure Mode based Optimizationof Validation Programs
Conclusions
October 2006 | Page 3Reliability Presentation – SAE Meeting, Reno, NV
Content
AVL‘s Reliability Engineering Process
The Load Matrix – Failure Mode based Optimizationof Validation Programs
Conclusions
October 2006 | Page 4Reliability Presentation – SAE Meeting, Reno, NV
Who is AVL?
Privately owned company
(Owner: Prof List and family)
Turnover:1984: ~40 million €
2006: ~500 million €
Staff:1984: ~560
2006: ~3500
Average R&D spending10 % of turnover
AVL AdvancedSimulation Technologies
AVLInstrumentationand Test Systems
AVLPowertrain Engineering
Engineering
Simulation
Testing
October 2006 | Page 5Reliability Presentation – SAE Meeting, Reno, NV
AustriaAustria (HQ)(HQ)
CroatiaCroatia
CzechCzech RepublicRepublic
FranceFrance
GermanyGermany
SloveniaSlovenia
SpainSpain
SwedenSweden
United KingdomUnited Kingdom
HungaryHungaryPolandPoland
BelgiumBelgium
SwitzerlandSwitzerland
TurkeyTurkeyItalyItaly
BrazilBrazil
ArgentinaArgentina
MexicoMexico
CaliforniaCalifornia
MichiganMichigan
AVL Establishments
ChinaChina
JapanJapan
KoreaKorea
RussiaRussia
ThailandThailand IndonesiaIndonesiaMalaysiaMalaysia
TaiwanTaiwanIndiaIndia
IranIran
October 2006 | Page 6Reliability Presentation – SAE Meeting, Reno, NV
A Reliability Engineering Approach for Powertrain Development
Reliability Engineering
CustomerService
Design & Development
Testing
ProductionEngineering
QualityAssurance
AVL’s Reliability Engineering ...
Is focused on failure-free products in the field
Includes a range of methods,
Risk management
Field and test data analysis
Statistical methods
Validation optimisation
Is a comprehensive process throughout product development
October 2006 | Page 7Reliability Presentation – SAE Meeting, Reno, NV
The Reliability Engineering ProcessThe Reliability Engineering Process
RA & FMEA
Reliability Charts
Warranty Cost Prediction
StatisticalAnalysis
Reliability Allocation
ConceptPhase
Production ValidationPreproduction Development (Gen 2)
Prototype Development (Gen 1)
Development time
Volume Prod.
Concern System
Load Matrix
DoE / Robustness
May 2006 | Page 8
Project Risk Assessment
Prepara-tion
RA Main
Session
RA Minutes /Report
Work withRA
Document
RAReview
RAReviewMinutes
To get a quick, clear and unbiased view on project risksTo be able to act upon critical risks in an appropriate way
How?The risks not to reach the project targets are rated.Assessment is done similar to FMEA. Scoring system, facilitator, interdisciplinary team.Technical, organisational, financial, and legal / contractualrisks are covered.Generation of an action plan.
October 2006 | Page 9Reliability Presentation – SAE Meeting, Reno, NV
Robustness / DoE Techniques
Benefits
Optimized, robust design and testingReduction of test effortInsight into „load space“ and damaging parameters
Application of DoE (Design of Experiments) and relatedstatistical methods
Definition of variants of reference duty cycles
Derivation of load variations for especially critical components / failure modes
problem definition test plan conduction of tests analysis
October 2006 | Page 10Reliability Presentation – SAE Meeting, Reno, NV
Reliability Allocation
Benefits
Gives an instant overview of the whole system and on reliability-criticalparts
Provides reliability targets for as an input for supplier technical specs
Serves as a basis for life cycle cost models
The system is modelled reliability-wise as a block diagram
Reliability values (eg, B10 and RF) areallocated to each subsystem
Values are derived from similarprojects, prototypes, FMEAs and fielddata.
exhaust systemRF target = 0.05
cylinder head assemblyRF target = 0.04
crank trainRF target = 0.01
crank caseRF target = 0.01
injection systemRF target = 0.05
add-on partsRF target = 0.04
engineRF target = 0.2
(simplified model)
October 2006 | Page 11Reliability Presentation – SAE Meeting, Reno, NV
Reliability Charts -Reliability Improvement Monitoring
BenefitsShows current and historic values of reliability indices
Illustrates the rate of improvement of these indices
Provides a basis for prediction of the indices in the future
Monitoring technique - shows the durability and reliability status of an engine / powertrain / vehicle during product development
One chart is made for the system lifetime, another one for RepairFrequency or MTBF value (classical Reliability Growth Testing)
B10 Life
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
1.Q.1999
2.Q.1999
3.Q.1999
4.Q.1999
1.Q.2000
2.Q.2000
3.Q.2000
4.Q.2000
1.Q.2001
2.Q.2001
3.Q.2001
4.Q.2001
actual B10 value(calculated)
prediction
hours
Repair Frequency (RF)
0,0
2,0
4,0
6,0
8,010,0
12,0
14,0
16,0
18,0
20,0
Q11999
Q21999
Q31999
Q41999
Q12000
Q22000
Q32000
Q4 2000
Q12001
Q22001
Q32001
Q42001
actual RF values
predicton
Remark.1) 3rd and 4th quarter 2000 reflect pilot and seriesproduction, respectively
target
target
October 2006 | Page 12Reliability Presentation – SAE Meeting, Reno, NV
Warranty Cost Models
Benefits
make the costs of un-reliability transparentshow the SOP riskcan be used as a basis for life cycle cost prediction
Warranty Cost Models
illustrate in which way warranty costs depend on the B10 and theMTBF/RF values of the product
reflect 100%-repair campaigns due to serial defects
require as input repaircosts and subsystemfailure distributions (fromfield data or esti-mated from protos)
109
87
65
43
21
1000 20003000 4000
50006000 7000
80009000
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
cost
s(m
illio
ncu
rren
cyun
its)
RF
B10
30,0-35,025,0-30,020,0-25,015,0-20,010,0-15,05,0-10,00,0-5,0
2 yrs to SOP:RF = 10
B10 = 2000 h
SOPRF = 2,5B10 = 6500 h
millioncurrency
units
1 yr to SOP:RF = 7,5B10 = 4500 h
October 2006 | Page 13Reliability Presentation – SAE Meeting, Reno, NV
The Reliability Engineering ProcessThe Reliability Engineering Process
RA & FMEA
Reliability Charts
Warranty Cost Prediction
StatisticalAnalysis
Reliability Allocation
ConceptPhase
Production ValidationPreproduction Development (Gen 2)
Prototype Development (Gen 1)
Development time
Volume Prod.
Concern System
Load Matrix
DoE / Robustness
October 2006 | Page 14Reliability Presentation – SAE Meeting, Reno, NV
Content
AVL‘s Reliability Engineering Process
The Load Matrix – Failure Mode based Optimizationof Validation Programs
Conclusions
October 2006 | Page 15Reliability Presentation – SAE Meeting, Reno, NV
The Load Matrix
The Load Matrix is ...
a methodology to optimise test & validationprograms systematically
The Load Matrix is applied to ...
optimise existing „traditio-nal“ durability & reliability validation programs
design optimal validationprograms for newsystems (eg, DPF)
October 2006 | Page 16Reliability Presentation – SAE Meeting, Reno, NV
Load Matrix Details
The Load Matrix ...is based on component and failure mode specific test acceleration factors
uses these specific acceleration factors as weightingfactors to compare test efficiency and life coverage
uses damage models tocalculate acceleration
The Load Matrix is used for ...minimising validation costs without jeopardizingproduct durability & reliability
October 2006 | Page 17Reliability Presentation – SAE Meeting, Reno, NV
Load Matrix Process
Selection of critical components and failuremodes (basis: FMEA, field data, etc.)
Definition of reliability targets for thesecritical parts / failure modes
Collection of validation steps, test durations, determination of test acceleration factors
Evaluation of validation program withrespect to reliability & durability,
weak point analysis
October 2006 | Page 18Reliability Presentation – SAE Meeting, Reno, NV
Selection of critical components & failure modes
FMEAs and FP sheets of new subsystems
Result: List of criticalcomponents and failure modes
Existing reliability field data(e.g, from previous engine)
October 2006 | Page 19Reliability Presentation – SAE Meeting, Reno, NV
An Important Tool: The FP Sheet
Identificationof damageparameters
Priorisation of critical failure
modes
Selection of damage model
FP (Failure Mode - Parameter) Sheet
= Extended FMEA with emphasis on parameters relevant for damaging and critical operating conditions
FMEA, Risk Analysis, Field Data, Experience
October 2006 | Page 20Reliability Presentation – SAE Meeting, Reno, NV
Example of an FP Sheet (shortened)
October 2006 | Page 21Reliability Presentation – SAE Meeting, Reno, NV
Example. Load Matrix Single Sheet for Cylinder Head High Cycle Fatigue
testsaccelerationfactors
equivalentmileage
number and duration
October 2006 | Page 22Reliability Presentation – SAE Meeting, Reno, NV
Example. Load Matrix Summary Sheet
Highlights existing durability risks of the validation program
Indicates to what extent the test program is adequate to demonstrate the target reliabilities
Derived actions to reduce risks include higher acceleration, new test procedure, calculation (e.g., FEM analysis), longer test time / mileage, customer fleets)
October 2006 | Page 23Reliability Presentation – SAE Meeting, Reno, NV
Calculation of Acceleration Factor (simplified)
engine speed
h1(v)
h2(v) h3
(v)
h4(v)
h5(v)
Freq
uenc
y(o
rpro
babi
lity)
Test: Cyclic Load Test Vehicle (duty cycle)
engine speed
h1(c)
h2(c)
h3(c)
h4(c)
h5(c)
Freq
uenc
y(o
rpro
babi
lity)
Frequency Plot resultingfrom test procedure Frequency Plot resulting
from statistics and in-vehicle measurements
engine speed
d1
d2d3
d4
d5
rela
tive
dam
age
Damage profileresulting fromdamage modelcalculation
Relative damage per hour in CyclicLoad Test: DR
(c) = Σ hi(c) di
Relative damage per hour in vehicle(duty cycle): DR
(v) = Σ hi(v) di
identical
Acceleration Factor = DR(c) / DR
(v)
engine speed
d1
d2d3
d4
d5
rela
tive
dam
age
Damage profileresulting fromdamage modelcalculation
October 2006 | Page 24Reliability Presentation – SAE Meeting, Reno, NV
time
Data Processing w.r.t. to Damage
vehicleoperation
dataprocessing
acquisitionof damage
relatedparameters
October 2006 | Page 25Reliability Presentation – SAE Meeting, Reno, NV
Example of Damage Calculation (Matlab-based)
October 2006 | Page 26Reliability Presentation – SAE Meeting, Reno, NV
Classes of Damage Models
Class Method Example
A empirical model based damage is proportional to the on general experience number of actuations
B simplified physical model L = (C/P)m
for the lifetime of a ball bearing
C full physical model FE-Analysis + Damage Accumulation Modell Hypothesis + Actual material data
October 2006 | Page 27Reliability Presentation – SAE Meeting, Reno, NV
Example. Optimization of an Exhaust Aftertreatment System Validation Plan
Optimization
Reliability Durability
Ori-ginalPlan
Plan afterOptimi-zation
October 2006 | Page 28Reliability Presentation – SAE Meeting, Reno, NV
Risk analysis / System FMEA
Detailed FMEAs
Hardware
Detailed FMEAs
Software
DVP
for HardwareFunctional
Checks
FP Sheets for Hardware
Durability & Reliability
SVP
Software Validation
Plan
Software Reliability
Methodology
Load Matrix Test Program Optimisation
(test bed, components and vehicle durability & reliability tests)
Software Function Tests(SIL, HIL, vehicle
testing, etc.)
Hardware Functional
Tests
CONCEPT PHASE DESIGN / DEVELOPMENT PHASE
Load Matrix Monitoring, Reliability Growth,
Reliability Analysis and Prediction, Corrective
Actions
TEST / VALIDATION PHASE PRODUCTION
Warranty Data
Analysis, Early
Warning System
Load Matrix as Key Element of an Overall Risk Mimimisation Process
October 2006 | Page 29Reliability Presentation – SAE Meeting, Reno, NV
Content
AVL‘s Reliability Engineering Process
The Load Matrix – Failure Mode based Optimizationof Validation Programs
Conclusions
October 2006 | Page 30Reliability Presentation – SAE Meeting, Reno, NV
Load Matrix Benefits
Failure mode based optimization of validation ...
Generates complete and balanced validation plans, including analysis, component testing, test bed tests, vehicle tests.
Shows how far durability and reliability targets can be demonstrated.
Helps to avoid unnecessary testing.
Supports the exchange and proper use of key information from allinvolved partners, including suppliers.
Supports optimised assessment procedures to make full use of allavailable information.
Helps in deciding on the benefits of additional validation steps.
October 2006 | Page 31Reliability Presentation – SAE Meeting, Reno, NV
Customer System TasksEuropean OEM HD Diesel Engine Setup of a warranty cost prediction model
Assessment of Validation ProgramEuropean OEM HD Diesel Engine Determination of sub-system specific acceleration
factors Validation program optimisation
Supplier Diesel Particle Filter Definition of a test program Definition of the LOAD MATRIX for Substrate, Mat
and CanningEuropean OEM DENOX System Definition and optimisation of a test programJapanese OEM SUV and LCV
TCI Diesel Engine Determination of the effect of a different vehicle
application (LCV instead of SUV) on engine life Definition of a durability test program
European OEM Rear Axle Setup of Load Matrix Assessment of current test program
European OEM Pass Car Gasoline Engine Comparison of two different validation programsEuropean OEM LCV and HD TCI Diesel
Engine Assessment of validation program for a DPF
application
A Selection of Recent Projects
October 2006 | Page 32Reliability Presentation – SAE Meeting, Reno, NV
Thank you for your attention!