MAE 4353 - Fall 2014 - Module 3 Part 1

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    MAE 4353 Mechanical Design IIDr James A. Kidd

    Module 3, Part 1: 8/25/14

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    Statistics & Fatigue Statistics Review

    Fatigue Fatigue in Metals Fatigue Failures Fatigue Life Methods ( Stress-Life, Strain-Life, Linear-Elastic Fracture Mechanics) Endurance Limit Fatigue Strength Modifying Factors Stress Concentration and Notch Sensitivity Fluctuating Stress Characterization Fatigue Failure Criteria Loading Mode Combinations Fluctuating Stresses and Cumulative Fatigue Damage Problems

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    Probability Distribution - Normal

    Normal (Gaussian) Probability Density Function (PDF)

    Shorthand:

    Probability Distribution: Measure of uncertainty of a given quantity or measurement

    Fatigue life and component wear data are noisy and must be treated accordingly forgood design and analysis

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    Probability Distribution Normal, cont

    Transforming into standardvariable z permits use CPD tables:

    No closed form for Cumulative ProbabilityDistribution (CPD) for Gaussian:

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    Empirical Distribution Rule

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    Weibull DistributionVariable shape; Highly useful for reliability estimates based on experimental or field data

    3-Parameter Weibull Distribution:

    x 0 is the minimum guaranteed valued of x

    Characteristic Value of x below which lie 63.2%

    of observations

    Shape parameter b >0Controls skew(large to right, small to left)

    Reliability is complement to CPD:

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    Weibull Distribution, cont

    Solving for x:

    x - Value at which specified reliability could be expected(given distribution defined by x0 , and b )

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    Error Propagation

    =Coefficient of Variation:

    Table 20-6

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    Error Propagation ExampleGiven force and area measurements of a rod under tension with normalprobability distributions and means of F = 20,000 psi and A = 0.5 in 2 andcoefficients of variation of CF = 0.05 and CA = 0.05, determine the mean andstandard deviation of the resulting direct stress. If the material has a yield stressallowable of 43,000 psi, comment on the implications of the results.

    Going further: What are the implications of material property statistical variation?MMPS Handbook properties:

    A Basis 99% samples exceed value to 95% confidenceB Basis 90% samples exceed value to 95% confidence

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    Fatigue

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    Fatigue in MetalsFailure - Under varying load

    - Well below ultimate strength

    - Possible with little structural deformation, i.e., suddenly

    Cracks typically begin at discontinuities, for example:Rapid cross section changesKeywaysStress concentration pointsTool marks, scratches, etc.

    Surface pits from contact or corrosionMaterial flaws

    General fatigue classifications:Low Cycle: N10 3 cyclesHigh Cycle: N>10 3 cycles

    Progression:Stage I: Micro-crack initiation and initial growthStage II: Micro-crack to macro-crack, beach mark bandsStage III: Rapid growth to failure

    http:// youtu.be/DykiHVrVkKgTWI Fatigue Testing

    http:// youtu.be/GPYw8hRkyVAFatigue Crack Propagation

    http://youtu.be/DykiHVrVkKghttp://youtu.be/DykiHVrVkKghttp://youtu.be/GPYw8hRkyVAhttp://youtu.be/GPYw8hRkyVAhttp://youtu.be/GPYw8hRkyVAhttp://youtu.be/DykiHVrVkKg
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    Fatigue-Life Methods - Introduction Stress-Life Method

    Most traditional and represents high-cycle fatigue adequately Least accurate for low-cycle fatigue Strain-Life Method

    More detailed analysis of localized plastic deformations Better for low-cycle fatigue estimates Multiple compounding idealizations so significant

    uncertainties Discuss due to insight into nature of fatigue

    Linear-Elastic Fracture Mechanics (LEFM)

    Fracture mechanics crack growth as function of stressintensity Typically implemented via computer codes

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    Stress-Life Method Fatigue strength from test data Widely used method:

    Moores rotating beam for pure bending ofclose tolerance, highly polished specimens

    Note statistical nature of the results

    Testing of material andcomponents may berequired

    Example with endurancelimit, S e

    If no clear endurance limit,

    S e must include number ofcycles (say 10 8)

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    Endurance Limit Strength

    Simplified relationship

    for endurance limitstrength in steels:

    For test specimen NOT actual component!

    Fig 6-17

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    Endurance Limit Modifying Factors

    Marin Equation:

    Endurance strength in real life can (will!) differ from lab test data using carefullyprepared specimens in controlled environments

    Real effects include: Material, manufacturing, environment, design,

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    Factors, cont.Surface Factor k a : Test specimens are highly machined, highly polished and in a protected environment Real components may have a variety of finishes (ground, machined, etc.)

    Finish a, kpsi bGround 1.34 -0.085

    Machined or cold-drawn 2.70 -0.265

    Hot-Rolled 14.4 -0.718

    As-Forged 39.9 -0.995

    Sut , kpsi150

    k a

    0.875

    0.7160.394

    0.273

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    Factors, cont.Size Factor k b : Real components vary in size from the test specimens

    For bending and torsion:

    For axial loading (no effect):

    Equivalent diameters:For non-rotating cylinders:

    For rectangular cross-sections:

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    Factors, cont.Loading Factor k c : Accounts for differences in component loading vs. test loading When torsion is combined with bending or axial, use k c=1

    Temperature Factor k d : For reduced temperatures, brittle fracture is a higher risk For elevated temperatures a model for a steel is:

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    Factors, cont.Reliability Factor k e : Fatigue strength values usually expressed as means

    Data indicates an 8% typical standard deviationReliabilty, % z a k e

    50 0 1

    90 1.288 0.897

    95 1.645 0.868

    99 2.326 0.814

    99.9 3.091 0.753

    99.99 3.719 0.702

    99.999 4.265 0.659

    99.9999 4.753 0.620Miscellaneous Effects Factor k f : For anything else, like

    Corrosion, coatings,

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    Endurance Strength ExampleWhat is the endurance strength of the machined shaft given below if a 99.99%reliability is desired?

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    Assignments Friday (8/22) by 2200:

    Complete and submit Resume Slide Assignment to D2L Dropbox By class time Monday (8/25):

    Read Shigley Chapters 20 (stats) and 6 (Fatigue) Complete online Stats & Fatigue Quiz Download Stats/Fatigue Problem set (conditional on quiz) Upload Problem Set #1 (Elasticity)

    Wednesday (8/27): Fatigue, continued + guest Speaker

    Friday (8/29): Jet Engine Cutaway Assessment at DML 3 groups: 0900, 0945, 1030 sign up Wednesday

    Monday (9/1): Labor Day No Class! Wednesday (9/3): Finish Fatigue, Introduce Project Phase I By class time Friday (9/5):

    Review brainstorming videos on D2L project Phase I folder

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