SlideShare a Scribd company logo
Acceleration Factor Calculation Using
             Norris-Landzberg Equation

Using Accelerated Life Testing the specified Thermal Cycles can be reduced.
Accelerated Tests are performed using stresses beyond normal life cycle or usage
conditions. Accelerated tests are performed primarily to (a) identify or conform marginal
design or manufacturing areas or (b) estimate product life. Prior to initiating accelerated
testing, weak links should be investigated and potential failure modes eliminated

Reference Qualification Test Plan for the Controller, the specified Durability Thermal
Cycles for the “Flight Lifetime” are 6242 and Durability Thermal Cycles for the “
Maintenance Lifetime” are 6970


The most widely used model is the modified Coffin-Manson (Norris-Landzberg)
Equation. This can be used to determine a Acceleration Factor for the thermal test
condition and product environment. It uses: (1) an Arrhenius Term; (2) Temperature
Cycling Frequency; (3) Maximum Temperature reached in a Cycle; (4) Temperature
Range during a Cycle.

The modified Coffin-Manson (Norris-Landzberg) Equation and a worked example using
arbitrarily chosen values is shown in Page 2


Recommendation

Use appropriate Parameter (f1; f2; ∆T1; ∆T2; m; n; T1; T2; Ea ) Values for the modified
Coffin-Manson (Norris-Landzberg) Equation to suit the Controller Design and Durability
Test Requirements. Calculate Acceleration Factors for the Flight Lifetime and
Maintenance Life Time and determine the Durability Flight & Maintenance Cycles


Benefit
Durability Thermal Cycles determined using the modified Coffin-Manson (Norris-
Landzberg) Equation will be lower than using Coffin-Manson Equation, hence reduction
in Test Time and a Cost Saving




Hilaire Ananda Perera       http://www.linkedin.com/in/hilaireperera
Long Term Quality Assurance
Modified Coffin-Manson Equation for
                          Acceleration Factor Calculations
 For solder joint failure under thermal fatigue (temperature and frequency are
 key factors), the most widely used model is the modified Coffin-Manson
 equation and is given in the following forms."1" represents test environment
 and the "2" represents the actual operating environment. m = 1/3, n = 1.9 ~ 2

 Coffin-Manson Exponent (n)
 n = 1 to 3 for Ductile Metal (e.g. solder)
 n = 3 to 5 for Hard Metal Alloys / Intermetallics (e.g. Al-Au)
 n = 6 to 9 for Brittle Fracture (e.g. Si & Dielectrics: SiO                                               2   , Si 3 N4 )




        1
 m                       n         2.5                f1           10           f2    4       ∆ T1   140         ∆ T2        125   T1   373   T2   344
        3
 Ea     .7                                    Activation Energy (eV) for the failure mechanism

       8.625 . 10
                             5
 k                                            Boltzmann's Constant (eV/deg.K)

                                              Ea . 1                1
                 m                  n                                                     Modified Coffin-Manson (Norris-Landzberg) Equation
            f2           ∆ T1                 k       T            T
AF                   .                   .e                2           1
            f1           ∆ T2

AF = 6.124                                                     < -------- Acceleration Factor with Modified Coffin-Manson


 When ----->                        m             0                 and          Ea       0

                                                  Ea . 1                1
                     m                   n
             f2                  ∆ T1             k        T            T
 AF                      .                   .e                2            1
             f1                  ∆ T2


 AF = 1.328                                                    < --------- Acceleration Factor with Coffin-Manson


 In the above equation;
 f = Temperature cycling frequency (In Cycles per 24 Hour Day)
 T = Maximum Temperature in Kelvins reached in a cycle
 ∆ T = Temperature range (in deg. C) during a cycle
                                                                                                                                                   AP , 24Mar03


      Hilaire Ananda Perera       http://www.linkedin.com/in/hilaireperera
      Long Term Quality Assurance

More Related Content

What's hot

Robust and Reliable Thin-Film OLED Encapsulation
Robust and Reliable Thin-Film OLED EncapsulationRobust and Reliable Thin-Film OLED Encapsulation
Robust and Reliable Thin-Film OLED Encapsulation
Beneq
 
Basis corrosion coating &CP system for pipeline in Oil & Gas Sector
Basis corrosion coating &CP system for pipeline in Oil & Gas SectorBasis corrosion coating &CP system for pipeline in Oil & Gas Sector
Basis corrosion coating &CP system for pipeline in Oil & Gas Sector
Quan Phan Hong
 
The metal-insulator transition of VO2 revisited
The metal-insulator transition of VO2revisitedThe metal-insulator transition of VO2revisited
The metal-insulator transition of VO2 revisited
ABDERRAHMANE REGGAD
 
Api 570 course material
Api 570 course materialApi 570 course material
Api 570 course material
TASSIO DOURADO
 
Asset Integrity Management
Asset Integrity Management Asset Integrity Management
Asset Integrity Management
Advisian
 
Magnetron sputtering equipment simulation
Magnetron sputtering equipment simulationMagnetron sputtering equipment simulation
Magnetron sputtering equipment simulation
Sherkin Technologies Ltd.
 
Ut procedure general
Ut procedure generalUt procedure general
Ut procedure general
naiduvs
 
Infineon DPS310 Capacitive Pressure Sensor
Infineon DPS310 Capacitive Pressure SensorInfineon DPS310 Capacitive Pressure Sensor
Infineon DPS310 Capacitive Pressure Sensor
Yole Developpement
 
Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...
Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...
Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...
Yole Developpement
 
Saes a-206-pmi
Saes a-206-pmiSaes a-206-pmi
Saes a-206-pmi
abhi10apr
 
Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...
Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...
Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...
Yole Developpement
 
Packing density
Packing densityPacking density
Packing density
Gulfam Hussain
 
BGA-Void-Last-Will
BGA-Void-Last-WillBGA-Void-Last-Will
BGA-Void-Last-Will
John Travis
 
MOCVD半導體製程即時監控系統
MOCVD半導體製程即時監控系統MOCVD半導體製程即時監控系統
MOCVD半導體製程即時監控系統
CHENHuiMei
 
Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...
Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...
Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...
Yole Developpement
 
Saudi aramco standards
Saudi aramco standardsSaudi aramco standards
Saudi aramco standards
Jithu John
 
API 570 Piping and Pipeline Inspectors Preparatory Course
API 570 Piping and Pipeline Inspectors Preparatory CourseAPI 570 Piping and Pipeline Inspectors Preparatory Course
API 570 Piping and Pipeline Inspectors Preparatory Course
petroEDGE
 
Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...
Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...
Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...
Olympus IMS
 
Aramco inspection handbook
Aramco inspection handbookAramco inspection handbook
Aramco inspection handbook
ram111eg
 
GaN RF Market: Applications, Players, Technology and Substrates 2020
GaN RF Market: Applications, Players, Technology and Substrates 2020GaN RF Market: Applications, Players, Technology and Substrates 2020
GaN RF Market: Applications, Players, Technology and Substrates 2020
Yole Developpement
 

What's hot (20)

Robust and Reliable Thin-Film OLED Encapsulation
Robust and Reliable Thin-Film OLED EncapsulationRobust and Reliable Thin-Film OLED Encapsulation
Robust and Reliable Thin-Film OLED Encapsulation
 
Basis corrosion coating &CP system for pipeline in Oil & Gas Sector
Basis corrosion coating &CP system for pipeline in Oil & Gas SectorBasis corrosion coating &CP system for pipeline in Oil & Gas Sector
Basis corrosion coating &CP system for pipeline in Oil & Gas Sector
 
The metal-insulator transition of VO2 revisited
The metal-insulator transition of VO2revisitedThe metal-insulator transition of VO2revisited
The metal-insulator transition of VO2 revisited
 
Api 570 course material
Api 570 course materialApi 570 course material
Api 570 course material
 
Asset Integrity Management
Asset Integrity Management Asset Integrity Management
Asset Integrity Management
 
Magnetron sputtering equipment simulation
Magnetron sputtering equipment simulationMagnetron sputtering equipment simulation
Magnetron sputtering equipment simulation
 
Ut procedure general
Ut procedure generalUt procedure general
Ut procedure general
 
Infineon DPS310 Capacitive Pressure Sensor
Infineon DPS310 Capacitive Pressure SensorInfineon DPS310 Capacitive Pressure Sensor
Infineon DPS310 Capacitive Pressure Sensor
 
Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...
Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...
Permanent Wafer Bonding for Semiconductor: Application Trends & Technology 20...
 
Saes a-206-pmi
Saes a-206-pmiSaes a-206-pmi
Saes a-206-pmi
 
Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...
Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...
Continental MFC430T and ZF-TRW S-Cam 3 and Bosch–MPC2 reports - teardown reve...
 
Packing density
Packing densityPacking density
Packing density
 
BGA-Void-Last-Will
BGA-Void-Last-WillBGA-Void-Last-Will
BGA-Void-Last-Will
 
MOCVD半導體製程即時監控系統
MOCVD半導體製程即時監控系統MOCVD半導體製程即時監控系統
MOCVD半導體製程即時監控系統
 
Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...
Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...
Maxim Integrated MAX21000 3-Axis MEMS Gyroscope teardown reverse costing repo...
 
Saudi aramco standards
Saudi aramco standardsSaudi aramco standards
Saudi aramco standards
 
API 570 Piping and Pipeline Inspectors Preparatory Course
API 570 Piping and Pipeline Inspectors Preparatory CourseAPI 570 Piping and Pipeline Inspectors Preparatory Course
API 570 Piping and Pipeline Inspectors Preparatory Course
 
Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...
Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...
Improved Inspection of Composite Wind Turbine Blades with Accessible, Advanc...
 
Aramco inspection handbook
Aramco inspection handbookAramco inspection handbook
Aramco inspection handbook
 
GaN RF Market: Applications, Players, Technology and Substrates 2020
GaN RF Market: Applications, Players, Technology and Substrates 2020GaN RF Market: Applications, Players, Technology and Substrates 2020
GaN RF Market: Applications, Players, Technology and Substrates 2020
 

Viewers also liked

Introdution to POF reliability methods
Introdution to POF reliability methodsIntrodution to POF reliability methods
Introdution to POF reliability methods
ASQ Reliability Division
 
Reliability Growth Testing (RGT) Plan
Reliability Growth Testing (RGT) Plan Reliability Growth Testing (RGT) Plan
Reliability Growth Testing (RGT) Plan
Hilaire (Ananda) Perera P.Eng.
 
ESS and HASS: Concerns with the Practices and Standards
ESS and HASS:  Concerns with the Practices and StandardsESS and HASS:  Concerns with the Practices and Standards
ESS and HASS: Concerns with the Practices and Standards
Hilaire (Ananda) Perera P.Eng.
 
Use of Failure Mechanisms enhance FMEA and FMECA
Use of Failure Mechanisms enhance FMEA and FMECAUse of Failure Mechanisms enhance FMEA and FMECA
Use of Failure Mechanisms enhance FMEA and FMECA
Hilaire (Ananda) Perera P.Eng.
 
Thermal cycling screen development
Thermal cycling screen developmentThermal cycling screen development
Thermal cycling screen development
Hilaire (Ananda) Perera P.Eng.
 
DFR a case study using a physics of failure
DFR a case study using a physics of failure DFR a case study using a physics of failure
DFR a case study using a physics of failure
ASQ Reliability Division
 

Viewers also liked (6)

Introdution to POF reliability methods
Introdution to POF reliability methodsIntrodution to POF reliability methods
Introdution to POF reliability methods
 
Reliability Growth Testing (RGT) Plan
Reliability Growth Testing (RGT) Plan Reliability Growth Testing (RGT) Plan
Reliability Growth Testing (RGT) Plan
 
ESS and HASS: Concerns with the Practices and Standards
ESS and HASS:  Concerns with the Practices and StandardsESS and HASS:  Concerns with the Practices and Standards
ESS and HASS: Concerns with the Practices and Standards
 
Use of Failure Mechanisms enhance FMEA and FMECA
Use of Failure Mechanisms enhance FMEA and FMECAUse of Failure Mechanisms enhance FMEA and FMECA
Use of Failure Mechanisms enhance FMEA and FMECA
 
Thermal cycling screen development
Thermal cycling screen developmentThermal cycling screen development
Thermal cycling screen development
 
DFR a case study using a physics of failure
DFR a case study using a physics of failure DFR a case study using a physics of failure
DFR a case study using a physics of failure
 

Similar to Acceleration Factor using norris landzberg equation

2nd Year Undergraduate Practical
2nd Year Undergraduate Practical2nd Year Undergraduate Practical
2nd Year Undergraduate Practical
James McAssey
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
IJERD Editor
 
03C -Chapter 3 - Sec 3.6.ppt
03C -Chapter 3 - Sec 3.6.ppt03C -Chapter 3 - Sec 3.6.ppt
03C -Chapter 3 - Sec 3.6.ppt
somnathmahapatra6
 
Nernst Equation 3.ppt
Nernst Equation 3.pptNernst Equation 3.ppt
Nernst Equation 3.ppt
TenzinNamgayNidrup
 
IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...
IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...
IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...
Lawrence kok
 
Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)
Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)
Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)
Syed Ali Afzal
 
11.a new mechanism of sodium zirconate formation
11.a new mechanism of sodium zirconate formation11.a new mechanism of sodium zirconate formation
11.a new mechanism of sodium zirconate formation
Alexander Decker
 
ECNG 3015 Power System Protection
ECNG 3015    Power System ProtectionECNG 3015    Power System Protection
ECNG 3015 Power System Protection
Chandrabhan Sharma
 
6th ed solution manual---fundamentals-of-heat-and-mass-transfer
6th ed solution manual---fundamentals-of-heat-and-mass-transfer6th ed solution manual---fundamentals-of-heat-and-mass-transfer
6th ed solution manual---fundamentals-of-heat-and-mass-transfer
Ronald Tenesaca
 
IA on effect of zinc concentration on voltage using nernst equation
IA on effect of zinc concentration on voltage using nernst equationIA on effect of zinc concentration on voltage using nernst equation
IA on effect of zinc concentration on voltage using nernst equation
Lawrence kok
 
Heat exchanger
Heat exchangerHeat exchanger
Heat exchanger
jahangir sadiq
 
CH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 Solutions
CH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 SolutionsCH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 Solutions
CH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 Solutions
semihypocrite
 
0210varo
0210varo0210varo
0210varo
saranika
 
Chapter 5 Fundamentals of Refrigeration
Chapter 5  Fundamentals of RefrigerationChapter 5  Fundamentals of Refrigeration
Chapter 5 Fundamentals of Refrigeration
ANIKET SURYAWANSHI
 
Heat transfer(HT) lab manual
Heat transfer(HT) lab manualHeat transfer(HT) lab manual
Heat transfer(HT) lab manual
nmahi96
 
Reaction Kinetics
Reaction KineticsReaction Kinetics
Reaction Kinetics
miss j
 
Master Thesis Total Oxidation Over Cu Based Catalysts
Master Thesis  Total Oxidation Over Cu Based CatalystsMaster Thesis  Total Oxidation Over Cu Based Catalysts
Master Thesis Total Oxidation Over Cu Based Catalysts
albotamor
 
Krkk tugas
Krkk tugasKrkk tugas
Krkk tugas
Hazima Asni
 
Chem140alecture3.ppt
Chem140alecture3.pptChem140alecture3.ppt
Chem140alecture3.ppt
Sc Pattar
 
Ch.17
Ch.17Ch.17

Similar to Acceleration Factor using norris landzberg equation (20)

2nd Year Undergraduate Practical
2nd Year Undergraduate Practical2nd Year Undergraduate Practical
2nd Year Undergraduate Practical
 
International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)International Journal of Engineering Research and Development (IJERD)
International Journal of Engineering Research and Development (IJERD)
 
03C -Chapter 3 - Sec 3.6.ppt
03C -Chapter 3 - Sec 3.6.ppt03C -Chapter 3 - Sec 3.6.ppt
03C -Chapter 3 - Sec 3.6.ppt
 
Nernst Equation 3.ppt
Nernst Equation 3.pptNernst Equation 3.ppt
Nernst Equation 3.ppt
 
IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...
IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...
IA on effectiveness of different types of catalysts MnO2 vs Fe(NO3)3 on the r...
 
Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)
Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)
Characterization of Single crystal KNN Ceramics (K0.5Na0.5NbO3)
 
11.a new mechanism of sodium zirconate formation
11.a new mechanism of sodium zirconate formation11.a new mechanism of sodium zirconate formation
11.a new mechanism of sodium zirconate formation
 
ECNG 3015 Power System Protection
ECNG 3015    Power System ProtectionECNG 3015    Power System Protection
ECNG 3015 Power System Protection
 
6th ed solution manual---fundamentals-of-heat-and-mass-transfer
6th ed solution manual---fundamentals-of-heat-and-mass-transfer6th ed solution manual---fundamentals-of-heat-and-mass-transfer
6th ed solution manual---fundamentals-of-heat-and-mass-transfer
 
IA on effect of zinc concentration on voltage using nernst equation
IA on effect of zinc concentration on voltage using nernst equationIA on effect of zinc concentration on voltage using nernst equation
IA on effect of zinc concentration on voltage using nernst equation
 
Heat exchanger
Heat exchangerHeat exchanger
Heat exchanger
 
CH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 Solutions
CH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 SolutionsCH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 Solutions
CH EN 3453 Heat Transfer 2014 Fall Utah Homework HW 05 Solutions
 
0210varo
0210varo0210varo
0210varo
 
Chapter 5 Fundamentals of Refrigeration
Chapter 5  Fundamentals of RefrigerationChapter 5  Fundamentals of Refrigeration
Chapter 5 Fundamentals of Refrigeration
 
Heat transfer(HT) lab manual
Heat transfer(HT) lab manualHeat transfer(HT) lab manual
Heat transfer(HT) lab manual
 
Reaction Kinetics
Reaction KineticsReaction Kinetics
Reaction Kinetics
 
Master Thesis Total Oxidation Over Cu Based Catalysts
Master Thesis  Total Oxidation Over Cu Based CatalystsMaster Thesis  Total Oxidation Over Cu Based Catalysts
Master Thesis Total Oxidation Over Cu Based Catalysts
 
Krkk tugas
Krkk tugasKrkk tugas
Krkk tugas
 
Chem140alecture3.ppt
Chem140alecture3.pptChem140alecture3.ppt
Chem140alecture3.ppt
 
Ch.17
Ch.17Ch.17
Ch.17
 

More from Hilaire (Ananda) Perera P.Eng.

CALCE Test Services and Failure Analysis (TSFA) Laboratory
CALCE Test Services and Failure Analysis (TSFA) LaboratoryCALCE Test Services and Failure Analysis (TSFA) Laboratory
CALCE Test Services and Failure Analysis (TSFA) Laboratory
Hilaire (Ananda) Perera P.Eng.
 
IEEE 1633 Recommended Practice on Software Reliability
IEEE 1633 Recommended Practice on Software ReliabilityIEEE 1633 Recommended Practice on Software Reliability
IEEE 1633 Recommended Practice on Software Reliability
Hilaire (Ananda) Perera P.Eng.
 
BIOMASS Based Power ( Electrical & Thermal )
BIOMASS Based Power ( Electrical & Thermal )BIOMASS Based Power ( Electrical & Thermal )
BIOMASS Based Power ( Electrical & Thermal )
Hilaire (Ananda) Perera P.Eng.
 
Statistical Confidence Level
Statistical Confidence LevelStatistical Confidence Level
Statistical Confidence Level
Hilaire (Ananda) Perera P.Eng.
 
Reliability if "m" of "n" Must be Working
Reliability if "m" of "n" Must be WorkingReliability if "m" of "n" Must be Working
Reliability if "m" of "n" Must be Working
Hilaire (Ananda) Perera P.Eng.
 
Outgoing Reliability Assurance of 'End-Units'
Outgoing Reliability Assurance of 'End-Units'Outgoing Reliability Assurance of 'End-Units'
Outgoing Reliability Assurance of 'End-Units'
Hilaire (Ananda) Perera P.Eng.
 
Transient Suppressors
Transient SuppressorsTransient Suppressors
Transient Suppressors
Hilaire (Ananda) Perera P.Eng.
 
Reliability Prediction Procedure for Mechanical Components
Reliability Prediction Procedure for Mechanical ComponentsReliability Prediction Procedure for Mechanical Components
Reliability Prediction Procedure for Mechanical Components
Hilaire (Ananda) Perera P.Eng.
 
Software Reliability
Software ReliabilitySoftware Reliability
Software Reliability
Hilaire (Ananda) Perera P.Eng.
 
Virtual Qualification
Virtual QualificationVirtual Qualification
Virtual Qualification
Hilaire (Ananda) Perera P.Eng.
 
Availability
AvailabilityAvailability
Testability
TestabilityTestability
Accelerated Stress Testing
Accelerated Stress TestingAccelerated Stress Testing
Accelerated Stress Testing
Hilaire (Ananda) Perera P.Eng.
 
Early Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor ComponentsEarly Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor Components
Hilaire (Ananda) Perera P.Eng.
 
Basic Design Considerations for Surface Mount Technology
Basic Design Considerations for Surface Mount TechnologyBasic Design Considerations for Surface Mount Technology
Basic Design Considerations for Surface Mount Technology
Hilaire (Ananda) Perera P.Eng.
 
Design For Reliability
Design For ReliabilityDesign For Reliability
Design For Reliability
Hilaire (Ananda) Perera P.Eng.
 
Rating & uprating handbook
Rating & uprating handbookRating & uprating handbook
Rating & uprating handbook
Hilaire (Ananda) Perera P.Eng.
 
Vibration before thermal cycling in ESS
Vibration before thermal cycling in ESSVibration before thermal cycling in ESS
Vibration before thermal cycling in ESS
Hilaire (Ananda) Perera P.Eng.
 
Mechanical component reliability
Mechanical component reliabilityMechanical component reliability
Mechanical component reliability
Hilaire (Ananda) Perera P.Eng.
 

More from Hilaire (Ananda) Perera P.Eng. (20)

CALCE Test Services and Failure Analysis (TSFA) Laboratory
CALCE Test Services and Failure Analysis (TSFA) LaboratoryCALCE Test Services and Failure Analysis (TSFA) Laboratory
CALCE Test Services and Failure Analysis (TSFA) Laboratory
 
IEEE 1633 Recommended Practice on Software Reliability
IEEE 1633 Recommended Practice on Software ReliabilityIEEE 1633 Recommended Practice on Software Reliability
IEEE 1633 Recommended Practice on Software Reliability
 
BIOMASS Based Power ( Electrical & Thermal )
BIOMASS Based Power ( Electrical & Thermal )BIOMASS Based Power ( Electrical & Thermal )
BIOMASS Based Power ( Electrical & Thermal )
 
Statistical Confidence Level
Statistical Confidence LevelStatistical Confidence Level
Statistical Confidence Level
 
Reliability if "m" of "n" Must be Working
Reliability if "m" of "n" Must be WorkingReliability if "m" of "n" Must be Working
Reliability if "m" of "n" Must be Working
 
Outgoing Reliability Assurance of 'End-Units'
Outgoing Reliability Assurance of 'End-Units'Outgoing Reliability Assurance of 'End-Units'
Outgoing Reliability Assurance of 'End-Units'
 
Transient Suppressors
Transient SuppressorsTransient Suppressors
Transient Suppressors
 
Reliability Prediction Procedure for Mechanical Components
Reliability Prediction Procedure for Mechanical ComponentsReliability Prediction Procedure for Mechanical Components
Reliability Prediction Procedure for Mechanical Components
 
Software Reliability
Software ReliabilitySoftware Reliability
Software Reliability
 
Virtual Qualification
Virtual QualificationVirtual Qualification
Virtual Qualification
 
Availability
AvailabilityAvailability
Availability
 
Testability
TestabilityTestability
Testability
 
Accelerated Stress Testing
Accelerated Stress TestingAccelerated Stress Testing
Accelerated Stress Testing
 
Early Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor ComponentsEarly Life Failure Rate Calculation Procedure for Semiconductor Components
Early Life Failure Rate Calculation Procedure for Semiconductor Components
 
Basic Design Considerations for Surface Mount Technology
Basic Design Considerations for Surface Mount TechnologyBasic Design Considerations for Surface Mount Technology
Basic Design Considerations for Surface Mount Technology
 
Design For Reliability
Design For ReliabilityDesign For Reliability
Design For Reliability
 
Rating & uprating handbook
Rating & uprating handbookRating & uprating handbook
Rating & uprating handbook
 
Junction Temperature in a Pulse Power Application
Junction Temperature in a Pulse Power ApplicationJunction Temperature in a Pulse Power Application
Junction Temperature in a Pulse Power Application
 
Vibration before thermal cycling in ESS
Vibration before thermal cycling in ESSVibration before thermal cycling in ESS
Vibration before thermal cycling in ESS
 
Mechanical component reliability
Mechanical component reliabilityMechanical component reliability
Mechanical component reliability
 

Recently uploaded

Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
Zilliz
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
Tatiana Kojar
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
panagenda
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
Jason Packer
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
Ivanti
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
Hiroshi SHIBATA
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
Mariano Tinti
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
panagenda
 
OpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - AuthorizationOpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - Authorization
David Brossard
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
shyamraj55
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
IndexBug
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying AheadDigital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Wask
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
名前 です男
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Alpen-Adria-Universität
 
Project Management Semester Long Project - Acuity
Project Management Semester Long Project - AcuityProject Management Semester Long Project - Acuity
Project Management Semester Long Project - Acuity
jpupo2018
 

Recently uploaded (20)

Building Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and MilvusBuilding Production Ready Search Pipelines with Spark and Milvus
Building Production Ready Search Pipelines with Spark and Milvus
 
Skybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoptionSkybuffer SAM4U tool for SAP license adoption
Skybuffer SAM4U tool for SAP license adoption
 
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUHCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
 
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays - June 2024
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
June Patch Tuesday
June Patch TuesdayJune Patch Tuesday
June Patch Tuesday
 
Introduction of Cybersecurity with OSS at Code Europe 2024
Introduction of Cybersecurity with OSS  at Code Europe 2024Introduction of Cybersecurity with OSS  at Code Europe 2024
Introduction of Cybersecurity with OSS at Code Europe 2024
 
Mariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceXMariano G Tinti - Decoding SpaceX
Mariano G Tinti - Decoding SpaceX
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
HCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAUHCL Notes and Domino License Cost Reduction in the World of DLAU
HCL Notes and Domino License Cost Reduction in the World of DLAU
 
OpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - AuthorizationOpenID AuthZEN Interop Read Out - Authorization
OpenID AuthZEN Interop Read Out - Authorization
 
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with SlackLet's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slack
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceAI 101: An Introduction to the Basics and Impact of Artificial Intelligence
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying AheadDigital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
 
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
みなさんこんにちはこれ何文字まで入るの?40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの?えこ...
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
 
Project Management Semester Long Project - Acuity
Project Management Semester Long Project - AcuityProject Management Semester Long Project - Acuity
Project Management Semester Long Project - Acuity
 

Acceleration Factor using norris landzberg equation

  • 1. Acceleration Factor Calculation Using Norris-Landzberg Equation Using Accelerated Life Testing the specified Thermal Cycles can be reduced. Accelerated Tests are performed using stresses beyond normal life cycle or usage conditions. Accelerated tests are performed primarily to (a) identify or conform marginal design or manufacturing areas or (b) estimate product life. Prior to initiating accelerated testing, weak links should be investigated and potential failure modes eliminated Reference Qualification Test Plan for the Controller, the specified Durability Thermal Cycles for the “Flight Lifetime” are 6242 and Durability Thermal Cycles for the “ Maintenance Lifetime” are 6970 The most widely used model is the modified Coffin-Manson (Norris-Landzberg) Equation. This can be used to determine a Acceleration Factor for the thermal test condition and product environment. It uses: (1) an Arrhenius Term; (2) Temperature Cycling Frequency; (3) Maximum Temperature reached in a Cycle; (4) Temperature Range during a Cycle. The modified Coffin-Manson (Norris-Landzberg) Equation and a worked example using arbitrarily chosen values is shown in Page 2 Recommendation Use appropriate Parameter (f1; f2; ∆T1; ∆T2; m; n; T1; T2; Ea ) Values for the modified Coffin-Manson (Norris-Landzberg) Equation to suit the Controller Design and Durability Test Requirements. Calculate Acceleration Factors for the Flight Lifetime and Maintenance Life Time and determine the Durability Flight & Maintenance Cycles Benefit Durability Thermal Cycles determined using the modified Coffin-Manson (Norris- Landzberg) Equation will be lower than using Coffin-Manson Equation, hence reduction in Test Time and a Cost Saving Hilaire Ananda Perera http://www.linkedin.com/in/hilaireperera Long Term Quality Assurance
  • 2. Modified Coffin-Manson Equation for Acceleration Factor Calculations For solder joint failure under thermal fatigue (temperature and frequency are key factors), the most widely used model is the modified Coffin-Manson equation and is given in the following forms."1" represents test environment and the "2" represents the actual operating environment. m = 1/3, n = 1.9 ~ 2 Coffin-Manson Exponent (n) n = 1 to 3 for Ductile Metal (e.g. solder) n = 3 to 5 for Hard Metal Alloys / Intermetallics (e.g. Al-Au) n = 6 to 9 for Brittle Fracture (e.g. Si & Dielectrics: SiO 2 , Si 3 N4 ) 1 m n 2.5 f1 10 f2 4 ∆ T1 140 ∆ T2 125 T1 373 T2 344 3 Ea .7 Activation Energy (eV) for the failure mechanism 8.625 . 10 5 k Boltzmann's Constant (eV/deg.K) Ea . 1 1 m n Modified Coffin-Manson (Norris-Landzberg) Equation f2 ∆ T1 k T T AF . .e 2 1 f1 ∆ T2 AF = 6.124 < -------- Acceleration Factor with Modified Coffin-Manson When -----> m 0 and Ea 0 Ea . 1 1 m n f2 ∆ T1 k T T AF . .e 2 1 f1 ∆ T2 AF = 1.328 < --------- Acceleration Factor with Coffin-Manson In the above equation; f = Temperature cycling frequency (In Cycles per 24 Hour Day) T = Maximum Temperature in Kelvins reached in a cycle ∆ T = Temperature range (in deg. C) during a cycle AP , 24Mar03 Hilaire Ananda Perera http://www.linkedin.com/in/hilaireperera Long Term Quality Assurance