Failure Fatigue and Creep

Tonya Coffey
16 Jun 201729:09

Summary

TLDRThis script discusses mechanical failures due to fatigue and creep in engineering materials. Fatigue, responsible for 90% of mechanical part failures, is a sudden failure under fluctuating stress, often initiated from surface defects. Creep is the continuous deformation at elevated temperatures under constant stress, progressing through primary, secondary, and tertiary stages. The lecture includes examples of fatigue testing, the significance of stress amplitude and mean stress, and the use of Larson-Miller parameters for estimating rupture times at different temperatures. It emphasizes the importance of understanding these phenomena for predicting material performance and preventing failures.

Takeaways

  • 🔩 Fatigue is a type of failure caused by fluctuating stress on structures, such as a bridge with cars driving over it, and can lead to sudden failure without warning.
  • 📉 Fatigue can occur even when the maximum stress experienced by a part is less than its yield stress, and it's responsible for about 90% of mechanical engineering failures.
  • 🔍 A study by Sherry Labs showed that improperly installed bolts on a mining truck led to sudden wheel detachment, illustrating the real-world consequences of fatigue.
  • 🛠️ Fatigue testing machines simulate the dynamic stress on parts to predict their performance and lifespan under cyclic stress conditions.
  • 📊 Fatigue behavior is often plotted on a graph with stress amplitude on the y-axis and the number of cycles to failure on the x-axis, showing different behaviors for steels and non-ferrous alloys.
  • 🛑 For many steels, there's a 'safe' stress level below which parts won't fail due to fatigue, while non-ferrous alloys often have no fatigue limit and require a specified fatigue strength.
  • 🔬 Fractography of failed parts can reveal brittle fracture surfaces and 'beachmarks', which are indicative of fatigue failure and provide insight into the failure process.
  • 🛡️ Surface treatments like shot peening and material modifications can enhance a part's resistance to fatigue by reducing stress concentrators and improving surface strength.
  • 📈 Creep is the deformation of materials under constant load and elevated temperature, occurring in three stages: primary, secondary, and tertiary creep, with secondary being the most critical for long-term performance.
  • ⏱️ The Larson-Miller parameter is a useful tool for estimating rupture times at different temperatures and stresses, allowing for faster testing and extrapolation to service conditions.

Q & A

  • What is fatigue in the context of mechanical engineering?

    -Fatigue is a form of failure that occurs in structures subjected to dynamic and fluctuating stress. It can lead to part failure even if the maximum stress is much less than the yield stress measured in tensile testing.

  • Why is fatigue failure particularly dangerous?

    -Fatigue failure is dangerous because it can occur suddenly and without warning, similar to a brittle fracture. The fracture surface, when examined, often appears brittle, which can be deceiving about the nature of the failure.

  • What role does the installation of parts play in fatigue failure?

    -The installation of parts plays a significant role in fatigue failure. Incorrect installation, as seen in the case of the mining truck wheel studs, can lead to premature failure even when the parts themselves are suitable for the service they are put to.

  • How can fatigue be simulated to test a part's performance?

    -Fatigue can be simulated using specialized testing apparatuses that flex the part back and forth, rotating it through multiple directions and subjecting it to sinusoidal stress cycles. The stress parameters such as mean stress, stress amplitude, and frequency can be adjusted to simulate real-world conditions.

  • What are the two common types of fatigue behavior seen in materials?

    -The two common types of fatigue behavior are one seen in many steels, where there is a safe stress level below which the part will not fail, and the other seen in non-ferrous alloys, where there is no fatigue limit and the material will eventually fail given enough cycles.

  • How is fatigue life defined in materials science?

    -Fatigue life is defined as the number of cycles it takes to cause failure at a specified stress level. It helps predict how long a part will last before needing replacement under cyclic stress.

  • What are the three stages of fatigue failure?

    -The three stages of fatigue failure are: 1) crack initiation, where a crack forms at a surface defect, 2) crack propagation, where the crack advances incrementally with each stress cycle, and 3) final failure, which occurs suddenly when the crack reaches a critical size.

  • What is creep, and how does it differ from fatigue?

    -Creep is the deformation of a material under constant stress and temperature over time, often occurring in load-bearing parts at elevated temperatures. It differs from fatigue in that it involves continuous deformation rather than cyclic stress leading to sudden failure.

  • What are the three stages of creep?

    -The three stages of creep are: 1) primary creep, with an initial instantaneous deformation followed by decreasing strain rate, 2) secondary creep, where the strain rate reaches a steady state, and 3) tertiary creep, where the strain rate increases leading to rupture.

  • How can the Larson-Miller parameter be used to estimate rupture times?

    -The Larson-Miller parameter is used to estimate rupture times by plotting it against stress on a graph. By determining the parameter at a high temperature and then extrapolating to the service temperature, one can estimate the time to rupture at that temperature.

Outlines

00:00

🔧 Introduction to Fatigue and Creep

The script begins by defining fatigue as a type of failure in structures under fluctuating stress, such as a bridge with cars driving over it. Fatigue can lead to sudden failure even if the stress is below the material's yield stress. It's responsible for about 90% of mechanical engineering failures and often results in brittle fractures. An example is provided of a failure study by Sherry Labs on mining truck wheel bolts that failed due to incorrect installation. The importance of fatigue testing is emphasized, with machines simulating sinusoidal stress to predict part performance under cyclic stress. The script also introduces the concept of fatigue life and the two types of fatigue behavior observed in materials: one with a fatigue limit and one without.

05:01

📈 Fatigue Behavior and Testing

This section discusses the fatigue behavior of steels and non-ferrous alloys, highlighting that steels have a fatigue limit below which they won't fail, while non-ferrous alloys do not. The concept of fatigue strength is introduced as the stress level for failure at a specified number of cycles. The script also explains the importance of considering probability curves for fatigue life predictions. Fatigue life is described as the number of cycles to cause failure at a specified stress level. The three stages of fatigue failure are outlined: crack initiation, crack propagation, and final failure. The use of fractography to analyze failed parts is discussed, including the identification of beachmarks and striations as indicators of fatigue.

10:01

🌡️ Creep and Its Impact on Materials

The script shifts focus to creep, which affects parts under constant load and elevated temperatures. Creep occurs in three stages: primary, secondary, and tertiary, with the secondary stage being the most critical as it represents the majority of a part's service life. The secondary creep rate is emphasized as a key parameter, and the temperature dependence of creep is discussed, noting that creep becomes significant at temperatures above 40% of a material's melting point. Methods to strengthen materials against creep, such as shot peening and modifying surface conditions, are suggested.

15:02

⏱️ Analyzing Creep Data and Estimations

This part of the script delves into analyzing creep data, with an example problem involving a steel alloy subjected to a tensile stress at a specific temperature. The concept of steady-state creep rate is introduced, and a method to calculate elongation after a given time is demonstrated. The script also covers how to determine the stress exponent 'n' from log-log plots of creep rate versus stress. An example calculation of the activation energy for creep using stress data at different temperatures is provided, illustrating how to use this information to estimate creep rates under different conditions.

20:03

🔬 Advanced Creep Analysis and Extrapolation

The script discusses advanced creep analysis, including the use of Larson Miller parameters and plots to estimate rupture times at different temperatures and stresses. The process of extrapolating creep data from high-temperature tests to predict performance at service temperatures is explained. The importance of understanding material flaws and their impact on failure is reiterated, with a summary of how temperature, stress, and material properties affect failure modes such as fracture, fatigue, and creep.

25:05

📚 Summary of Engineering Materials and Failure Theories

The final part of the script summarizes the key points about engineering materials and failure theories. It emphasizes that materials often fail at stresses lower than predicted due to inherent flaws, which act as stress concentrators. The script outlines how failure types are influenced by temperature, stress, and loading rates, with a brief overview of the factors affecting fracture, fatigue, and creep failures. The summary concludes with a reminder of the importance of understanding these concepts for designing reliable and safe engineering components.

Mindmap

Keywords

💡Fatigue

Fatigue in the context of the video refers to the failure of materials or structures under cyclic or fluctuating stress, even when the stress is below the material's yield stress. This is a critical concept in mechanical engineering, as it explains why parts can suddenly fail without warning. The video emphasizes that fatigue is responsible for approximately 90% of mechanical engineering failures. An example given is a bridge that experiences varying loads from cars, which can lead to fatigue failure over time.

💡Creep

Creep is defined as the gradual deformation of a material under constant stress and temperature over time. Unlike fatigue, creep involves a constant load rather than cyclic loading. The video explains that creep is particularly significant at elevated temperatures, such as those experienced in jet engines. The three stages of creep—primary, secondary, and tertiary—are detailed, with the secondary stage being the most critical as it represents the majority of a material's service life before failure.

💡Stress

Stress is the force applied to a material, and in the video, it's discussed in the context of both fatigue and creep. It's the driving force behind material deformation and failure. The video clarifies that stress amplitude and mean stress are parameters that can be adjusted in fatigue testing to simulate real-world conditions and study a material's response to cyclic loading.

💡Yield Stress

Yield stress is the point at which a material begins to deform plastically under stress. The video script explains that fatigue can lead to failure even when the maximum stress experienced by a part is much less than its yield stress, highlighting the difference between theoretical material strength and real-world performance.

💡Fatigue Life

Fatigue life is the number of cycles a material can endure before failure under cyclic loading. The video discusses how fatigue life is an important parameter in designing parts that are expected to perform reliably over a certain period. It's determined by testing materials under controlled conditions to predict their service life.

💡Fractography

Fractography is the study of fracture surfaces to understand the mechanisms and causes of material failure. The video mentions that fractography can reveal whether a failure was due to fatigue, as the fracture surface often exhibits a brittle appearance even when the failure was due to repeated stress.

💡Shot Peening

Shot peening is a process mentioned in the video as a way to enhance the fatigue life of materials by introducing a compressive residual surface layer. This process can help in reducing the initiation and propagation of cracks, thereby increasing the material's resistance to fatigue.

💡Stress Concentrators

Stress concentrators are features such as notches, grooves, or sudden changes in cross-section that can cause local stress to exceed the average stress on a part. The video explains that these can lead to premature failure due to fatigue, as they are points where cracks are likely to initiate and propagate.

💡Strain Hardening

Strain hardening, also known as work hardening, is a process where a material becomes stronger and less ductile after enduring plastic deformation. In the context of creep, the video describes how strain hardening occurs during the primary creep stage, where the material's resistance to deformation increases over time.

💡Larson-Miller Parameter

The Larson-Miller parameter is a useful tool for extrapolating creep rupture data from short-term tests at high temperatures to longer-term performance at service temperatures. The video explains how this parameter can be used to predict the life of a material under specific stress and temperature conditions, which is crucial for materials expected to last for extended periods.

Highlights

Fatigue is defined as failure due to dynamic and fluctuating stress.

Fatigue can cause failure even if the stress is below the material's yield stress.

Fatigue is responsible for about 90% of mechanical engineering failures.

Fatigue fractures are sudden and can resemble brittle fractures.

A case study from Sherry Labs is mentioned, detailing a failure in mining truck wheel bolts.

Incorrect installation can lead to fatigue failure, as seen in the mining truck wheel case.

Fatigue testing machines simulate dynamic stress to predict part performance.

Fatigue tests can adjust mean stress, stress amplitude, and frequency.

Fatigue life is the number of cycles to failure at a specified stress level.

Fatigue behavior in steels shows a safe stress level below which failure doesn't occur.

Non-ferrous alloys may not have a fatigue limit, requiring a specified fatigue strength instead.

Fatigue life can be plotted on a logarithmic scale with cycles to failure on the x-axis.

Fatigue failure occurs in three stages: initiation, propagation, and final fracture.

Beachmarks or striations on fracture surfaces are indicative of fatigue failure.

Surface treatments like shot peening can improve resistance to fatigue.

Creep is the deformation that occurs under constant load and elevated temperature.

Creep occurs in three stages: primary, secondary, and tertiary, with secondary being the most critical.

The steady-state creep rate is crucial as parts spend most of their life in secondary creep.

Creep rate is influenced by temperature, stress, and material constants.

Larson Miller parameters can be used to estimate rupture times at different temperatures and stresses.

Engineering materials can fail at stresses lower than theoretical predictions due to inherent flaws.

Stress concentrators, such as sharp corners, can lead to premature failure and should be avoided in design.

Transcripts

play00:04

hi so we're going to talk about fatigue

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and creep and failure due to these

play00:09

mechanisms today so first to Define

play00:12

fatigue fatigue is defined as a form of

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failure that occurs in structures that

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are sub subjected to a dynamic and

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fluctuating stress so you might imagine

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um a bridge with cars driving repeatedly

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over it so the number of cars on the

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bridge at any given time might vary it

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might be bouncy a little bit if it's a

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flexible Bridge so you can imagine

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something like that the thing about

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fatigue is that Parts can fail even

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though the maximum stress that the part

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might be subjected to is much less than

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the yield stress that you might measure

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in a tensil testing machine um it's

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actually responsible for about 90% of uh

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life failures mechanical engineering

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failures of parts and the bad part is

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that it can occur suddenly and with and

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without warning just like a a brittle

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fracture um in fact the fracture is

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brittle in nature if you examine it

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using fractography you can see that the

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surface looks like a brittle fracture

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surface for for part of the surface at

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least um so here in this picture there

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was an interesting failure study done by

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Sherry Labs the link is given below if

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you'd like to read the full study but

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the gist of it is these studs are bolts

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were used to hold on the Wheel to a big

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mining truck and of course the wheel

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just fell straight off

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um one day after the parts had been in

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service for a long time they wanted to

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know what went on it turns out that the

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the bolts that they were using were okay

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for the service that they were being put

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to but they were in installed

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incorrectly and that's why they failed

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um but they failed after a certain

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amount of use um and just all of a

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sudden without warning so they were

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interested in doing the failure study

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you can see here if you look at the

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bolts and remember what it looked like

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when we did those tensile tests um these

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do look a lot like brittle fracture so

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you see these abrupt kind of um Parts

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where you you have little to no necking

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and when we zoom in and look at the

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parts later we'll see what the fracture

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surface actually looks like um but a lot

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of it will look like a brittle brittle

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surface now you can simulate fatigue of

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course if you know that your part is

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going to be subjected to fatigue you

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would like to test the part and see how

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it's going to perform in service and so

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they've designed many machines um uh

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fatigue testing apparatuses that um Can

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can do this for you so a schematic of it

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is shown here basically you have

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something that flexes the part back and

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forth and rotates the part through so

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that it gets flexed in multiple

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directions um and then it can do that

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for as many cycles as you like um

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basically what they do is they subject

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it to this sort of beautiful sinusoidal

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stress now in reality in service the

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stress might not be that beautiful in

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sinos soidal it might be much more

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erratic um but machines do the best they

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can to simulate that stress and what

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they do is they set this stress

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parameter here you can change the mean

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or average stress and you can change the

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stress amplitude you can change the

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frequency of the um oscillations of the

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stress and then you just run it to

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failure you wait until the part breaks

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and you do that for multiple scenarios

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on the same type of material so that you

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can get a feel for how that part will

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perform under a cyclic applied

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stress of course you want to replicate

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the actual conditions of service as

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closely as possible here's some images

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of Some Testing apparatus that I found

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online um basically the tester will

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subject a specimen to a stress amplitude

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that's on the order of 2third of the

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tensile strength and then what you do is

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plot the number of Cycles to failure

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versus the stress so here's a a couple

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images of those plots so here um what's

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plotted in this case is the stress

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amplitude you could change it you could

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change it to the mean stress you could

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plot whatever parameter you're

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interested in regarding the stress on

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the y axis and then on the x- axis you

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plot n which is the number of Cycles to

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failure

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okay and so this is a logarithmic plot

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with Cycles to failure here um there's

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basically two types of fatigue behavior

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that are seen commonly one type of

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fatigue behavior is seen for many

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different Steels that's the one up here

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at top with this curve and then on the

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bottom curve you see that for a lot of

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non feris Alloys um and we'll talk about

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those two scenarios so for these two

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different scenarios here well for both

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of them actually higher stress is

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actually going to give a lower number of

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Cycles to failure that's why the curve

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goes up as it approaches and equals uh

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low numbers okay it goes up there it

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with your stress amplitude Okay so the

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part will fail at a lower number of

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Cycles if you subject it to a higher

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stress not really surprising there okay

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so um next what you see with some Steels

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with many Steels is that for for these

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Steels as long as you keep the stress

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below what's termed a safe level the

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part won't fail on you okay um so you

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have to keep it at a low stress and then

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what you are is you're in this safe

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region here if because the Curve will

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flatten out um as it approaches high

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high numbers of Cycles so as long as you

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keep it below that stress amplitude then

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the part will perform um well okay

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that's a Steel type Behavior but for

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some materials um there is no fatigue

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limit when you approach that limit that

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flat out uh that flattening part of the

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curve there that's called the fatigue

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limit but for some materials non- feris

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Alloys there is no fatigue um limit in

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those cases they often specify a fatigue

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strength instead and the fatigue stress

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uh strength is the stress level for

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failure at a specified number of Cycles

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so you say well I would like my part to

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perform for X number of years before I

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recommend replacement so what's my

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fatigue strength at that and then you

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design your part um so that it will have

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the specified fatigue strength that you

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want for the number of Cycles to failure

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that you want

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okay okay now you have to be really

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careful because those curves that I

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showed were actually average curves and

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statistically what that means is that

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half of them are going to fail below

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that level if you if that's your mean

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curve then half of them are going to

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fail below that a more appropriate

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treatment might be a series of

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probability curves um and so if you go

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on and you become a materials engineer

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material scientist I would hope that you

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would do this sort of thing okay and

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plot plot uh a a parameter and then stay

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in the safe limit even for the low

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probabilities of failure

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now um another important parameter that

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sometimes gets cited is the fatigue life

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and the fatigue life is the number of

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Cycles to cause failure at a specified

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stress level so you specify the stress

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level and then you see how long it is

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till the person has to change that part

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out basically um fatigue when it starts

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it happens in three stages it usually

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starts off with a crack or a scratch or

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something like that so you have a a

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defect in your surface it could be the

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threading on your bolt it could be dent

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in your surface a scratch a rusted spot

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whatever and then at that point at that

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defect a crack will form okay and this

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usually happens at the surface and then

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in the second stage that crack that's

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formed will advance incrementally with

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each stress cycle so every stress cycle

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the crack will move a little further and

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a little further and a little further

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when it's reached a certain point some

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critical size then the final failure

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will happen like that and that's why we

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say that you know fatigue failure

play08:00

happens without warning because if you

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don't know the crack is there all of a

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sudden the part will just fail one day

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and you've got yourself what looks like

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a brittle fracture

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failure now there's people that do these

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analyses like the um example that we

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showed earlier and then you can look at

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the fracture surface and see what's

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going on there's certain characteristic

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things that they see um in these fatigue

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parts so first of all this is an image

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of one of those bolts that failed on

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that we showed on that very first slide

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and it's exhibiting something called a

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beachmark it's also sometimes called

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growth rings or uh clam shells um but

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anyway it shows this kind of

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characteristic layering look kind of

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like a tree ring or a go growth ring um

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and what happens there is the crack is

play08:49

advancing but then um and it's being

play08:52

subjected to stress but then the part is

play08:55

taken out of service for some time maybe

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everybody goes home for the night or

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maybe maybe the part is on a bridge and

play09:02

um there's not too many cars in the

play09:03

bridge that late at night or whatever

play09:05

okay so it's allowed to relax a little

play09:08

bit and then it's subjected to the

play09:09

stress again allowed to relax a little

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bit subjective relax and this forms a uh

play09:15

very distinct looking pattern that

play09:18

people have learned to recognize as

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being a sign of fatigue

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failure um they're bigger they're

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visible to the naked eye or with just a

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simple little handheld lens now there's

play09:28

also if you look at the part under an

play09:31

electron microscope or a high power M

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microscope you can see what are known as

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striations inside these Beach marks and

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the striations are microscopic and it

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shows you the advance of the crack front

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during just one stress cycle and looks

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like little ripples all right now down

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here in the lower right hand corner is a

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um a part from a totally different

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website that I've cited here and what

play09:56

that looks like it'll show you the crack

play09:58

formed it initiated down here at the

play10:01

bottom and then you have your kind of

play10:02

beachmark looking pattern down here

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until the crack Advanced far enough the

play10:08

flaw Advanced far enough that boom

play10:11

you've got your brittle fracture failure

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and this is what that surface looks like

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okay so um so you can figure out a lot

play10:20

from that

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fractography now since most of these um

play10:26

defects the cracks start at the surface

play10:29

anything that you can do to strengthen

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the surface is a good thing okay so you

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can do what's called shot peening which

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introduces um uh defects at the surface

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um hardening strain hardening um you can

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caror it you can alloy it in other words

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alloing will strengthen apart and you

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can also remove those stress

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concentrators um if you have very small

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radi of curvature very sharp corners or

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anything like that on your part then

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your fatigue will want to set in there

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so anything that you can do to make the

play11:01

radius of curvature larger would be good

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um so that's also a good thing to think

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about okay so that's fatigue and fatigue

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life now let's talk about creep there's

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some parts that aren't necessarily

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subjected to cyclic loads with a stress

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that varies in time but there may be a

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loadbearing type thing they're supposed

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to hold a long tense ESS for a long time

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and it's not cyclic in nature just

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really heavy all the time for example

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those parts are subjected to creep okay

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oftentimes these parts um say for

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example if it's in a jet engine or

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something like that this also happens at

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elevated temperatures the part gets

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really hot in service so if you have

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kind of a constant load over time at an

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elevated temperature your part is

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subjected to creep okay so there's

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there's three stages of creep first of

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all when you first place the part in

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service

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um the very first day or whatever first

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few days this is called primary creep

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and in that you have first of all an

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instantaneous deformation the part will

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deform the instant that you put it in

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service by some amount it'll get all

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stretched out and then um the slope here

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this instantaneous deformation the slope

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will decrease with time until it reaches

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the steady state which is the secondary

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part they believe that this DEC decrease

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in the slope with time of the strain on

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the part which is called The Creep

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strain that decrease in the slope is due

play12:32

to strain hardening so the part the

play12:35

metal is actually getting tougher in

play12:37

service then it reaches a plateau where

play12:41

the strained hardening is actually

play12:43

battling with the recovery phase for the

play12:45

part because remember the part is being

play12:47

subjected to heat and then you have what

play12:50

looks pretty much like a flat straight

play12:52

slope there okay um and then that stage

play12:56

is called secondary creep the um the

play12:59

slope of that here we're plotting creep

play13:01

strain versus time of service okay so

play13:05

the slope of the secondary curve is

play13:07

really important because the part spends

play13:10

most of its life in that secondary um

play13:14

time frame it spends most of that time

play13:15

in the secondary stage the primary stage

play13:18

doesn't take very long and neither does

play13:19

the tertiary maybe just a few days for

play13:21

each of them the secondary strain um

play13:23

rate curve can can last for years so

play13:26

that slope right there is very important

play13:29

and we'll talk more about that and then

play13:31

finally it exits the secondary creep and

play13:34

enters the tertiary creep phase and then

play13:36

the slope actually increases with time

play13:38

until the part finally ruptures um so

play13:42

you want to stay away from

play13:44

that creep as you can imagine has a

play13:46

temperature dependence the hotter your

play13:48

part the more um the more your creep

play13:51

strain rate will be um the faster the

play13:53

creep will occur for Metals it becomes

play13:57

important mostly at G than 40% of the

play14:00

melting temperature then it really takes

play14:02

off okay so that's something to bear in

play14:06

mind okay so let's talk more about that

play14:09

secondary creep regime okay your steady

play14:12

state creep rate is actually constant at

play14:15

a given temperature and stress you're at

play14:18

that point where the strain hardening is

play14:20

balanced by recovery and you've got that

play14:22

constant looking slope okay so given a

play14:26

temperature okay your your exponential

play14:28

dependenc of your temperature is here so

play14:30

you have the activation energy for the

play14:32

creep and as long as that temperature is

play14:34

held constant this exponential term here

play14:37

is constant it's e to the minus Q over

play14:40

RT um and that's the activation energy

play14:43

for the creep there that q and then

play14:44

there's your temperature okay now um

play14:48

your strain rate is the strain which

play14:51

remember is the change in length over

play14:52

the length so that's the definition of

play14:54

strain and a strain rate is how much

play14:57

strain happens per per unit time okay so

play15:02

that's your strain rate Epsilon dot then

play15:04

you have a material constant in here of

play15:06

course it's going to be bit different

play15:08

depending on what your material is and

play15:10

then you have your applied stress um

play15:13

times raised to the power of n your

play15:15

stress exponent

play15:17

okay now if you do a log plot of these

play15:21

things then they look like straight

play15:22

lines okay um so your strain rate

play15:26

increases with increasing temperature

play15:28

and increasing stress don't worry too

play15:30

much about the units on K they're really

play15:33

strange okay um but it's basically just

play15:36

a fit parameter that you would you would

play15:37

get from the fit for a particular

play15:39

material that you would

play15:44

have okay so let me do an example

play15:47

problem for you so that you can see what

play15:48

some of these creep problems look like I

play15:50

actually have about three examples here

play15:52

to go through so this is um a steel

play15:55

alloy okay s590 alloy and it 750 mm long

play16:01

initially and it's exposed to a tensile

play16:03

stress of 80 megapascals at 815 de

play16:07

Celsius and so using this these plots

play16:10

what we're going to do is determine the

play16:12

elongation after 5,000 hours um assuming

play16:16

that the instantaneous and primary creep

play16:19

um elongation is 1.5 millimeters so

play16:22

these curves here show the secondary

play16:24

creep um Behavior and the instantaneous

play16:27

and primary creep El a are given to you

play16:30

basically as 1.5 mm so you just need to

play16:32

figure out the secondary part and add it

play16:34

onto the

play16:35

primary all right so what we can do is

play16:38

we know that the part was subjected to

play16:41

80 megapascals at 815 C so I can look at

play16:45

um my plot here and read off for 80

play16:49

megapascals um from the 815 C curve

play16:52

which is that red curve here and see

play16:55

what the um the the creep rate is at

play16:59

that value So reading that off the plot

play17:01

I get 4 * 10- 6 inverse hours again the

play17:05

units are a little strange on these

play17:06

things um just Just Go With It okay so

play17:10

here's my steady stra um steady state

play17:12

creep rate that's my Epsilon Dot and

play17:14

then what I can do is it asks me for

play17:17

5,000 hours so I can multiply my creep

play17:20

rate by my time so I have 5,000 times 4

play17:23

* 10- 6 and I get

play17:25

0.02 okay so that's my creep rate uh so

play17:29

that'll give me my creep If I multiply

play17:31

my creep rate by my time I get my creep

play17:33

and that's equal to remember the uh

play17:36

strain which is the change in length

play17:38

over the length which is the change in

play17:40

length over the initial length of 750

play17:43

millimeters okay so that means I can

play17:45

solve for my elongation and it's 15

play17:47

millimeters and that's for my secondary

play17:50

stage if I add that to the primary creep

play17:52

I get 16.5 millimeters of elongation of

play17:55

that part hopefully that helps

play17:59

okay here's another question all right

play18:03

these are all taken from your book if

play18:05

the log of the creep rate is plotted

play18:07

versus the log of the stress um as it

play18:09

was previously a straight line should

play18:11

result with a slope of n okay so using

play18:14

the figure determine n for the s59 Alloy

play18:18

at 925 Dees C that's shown here in the

play18:21

orange curve okay so we're assuming that

play18:25

the temperature is held constant so that

play18:27

exponential term eus Q RT that's a

play18:29

constant value okay so for this this

play18:32

curve it's just shown here and it's some

play18:34

value and so we're assuming here that

play18:37

Epsilon dot is equal to K Sigma to the N

play18:40

okay so um what I'm going to do is I'm

play18:43

just going to choose two data points off

play18:45

this line and figure out my slope of

play18:48

that line and from that I can figure out

play18:50

what my value of n is so the two data

play18:53

points that I chose are the ones that

play18:55

kind of crossed over one of these grid

play18:57

Lanes two cross grid l lines here um and

play19:00

so the two data points that I chose were

play19:02

10 Theus 4 and 60 megap pascals it

play19:04

looked like it intersected there and one

play19:08

inverse hour or one hour and 200

play19:10

megapascals so I chose those two data

play19:12

points now if you look at what the log

play19:15

log plot would be if I take the log of

play19:17

both sides of this equation I get log of

play19:19

my creep rate equals log of K plus n log

play19:23

Sigma and then what's plotted here

play19:26

though is the stress on the y a axis

play19:29

okay so my slope then would not be n it

play19:32

would be one over N I rearranged my

play19:34

equation here to show that so I have 1

play19:37

over n log of my creep rate equals minus

play19:39

one over n log of K this just becomes my

play19:42

intercept so it's unimportant to me for

play19:44

my slope calculation and then that's

play19:46

equal to the log of Sigma okay so if I

play19:50

want to solve for just my slope that'll

play19:52

give me my value of one over n here so I

play19:55

plug in for my two data points my change

play19:58

and my y y would be log of 200 minus log

play20:00

of 60 and then the change in the X would

play20:03

be the log of 1 minus the log of 10us 4

play20:07

well if it's a log base 10 then the log

play20:10

of one is just one right and then I have

play20:14

minus minus 4 okay because the log of

play20:17

10us 4 is minus 4 and then when I do

play20:20

that I get

play20:22

0146 and that's equal to one over N I

play20:24

solve for n i get 9.6 so it's basically

play20:27

10 right

play20:32

okay so here um next question estimate

play20:37

the activation energy for creep for the

play20:39

s590 alloy using the stress data at 300

play20:43

megap pascals and temperatures of 650c

play20:45

and 730c assume n is independent of

play20:49

temperature okay so in my example here

play20:53

I've got my equation for my creep rate

play20:55

Epsilon dot is equal to K Sig VN e minus

play20:58

Q over RT so that's my assumption

play21:02

there and yet again what I'm going to do

play21:05

is I'm going to use my two data points

play21:07

um and here my two data points are for

play21:10

the 300 megapascal data okay so I have

play21:12

two data points 300 megap pascals and if

play21:15

I look at that um my creep rates um for

play21:19

those 200 Mega 300 megap pascals if I

play21:22

look at that that intersection of the

play21:24

data then I get creep rates of 10us 4

play21:27

inverse hours and - 2 inverse hours for

play21:30

650 and 730 C which were the temperature

play21:33

cited now K andn are those constant

play21:36

those material constants that don't

play21:38

change because this is for the same

play21:39

material all these curves are for the

play21:41

same material the s590 alloy so those

play21:44

can be assumed to be the same and sigma

play21:46

is given as 300 megap pascals for both

play21:49

so from this I've got basically two

play21:52

equations and two unknowns right um I

play21:55

know my um my values my creep rate I

play22:00

know my values of my temperature I don't

play22:02

know my K Sigma to the n Bits but since

play22:05

I have two equations I can just subtract

play22:08

those two equations and then that

play22:10

constant drops out so I end up with the

play22:13

log a natural log of 10- 4us the natural

play22:16

log of 10- 2 = q r * 1 over 13 - 1 923

play22:22

okay and I solve this equation and I get

play22:25

my Q there um plugging in for the known

play22:27

value of my gas constant are 8. 314 Jew

play22:31

per mole Kelvin now it's really

play22:33

important that you realize that this

play22:35

here in order to get rid of this

play22:36

exponent I took a natural log okay so

play22:38

that's not a log base 10 so my natural

play22:42

log of 10us 4 isn't going to give me

play22:44

minus four anymore you have to actually

play22:45

plug it into the calculator okay make

play22:47

sure that you check me out on that make

play22:49

sure I did my math

play22:52

right okay now sometimes you want creep

play22:55

data but it would take a really super

play22:57

long time to obtain because the life of

play23:00

the part you expect it to be years for

play23:03

example but you know that creep happens

play23:05

at faster at higher temperatures so if

play23:07

you want to do a test and you want it to

play23:09

take a reasonable amount of time maybe

play23:11

you heat the part up to a temperature

play23:13

far above its service um temperature

play23:16

that you know far above the temperature

play23:18

you would expect it to have in service

play23:19

and then you can extrapolate back for

play23:22

the temperatures that it would actually

play23:24

encounter in service and figure it out

play23:26

that way okay so you just do the test

play23:28

higher temperature and then figure out

play23:30

what it would happen at a normal

play23:31

temperature okay so we can use what are

play23:35

called Larsson Miller parameters and

play23:37

lson Miller plots to figure this out now

play23:40

your lson Miller parameter just comes

play23:41

from the same old equation that we've

play23:43

been using this creep rate is equal to K

play23:46

the n eus q over RT and you just apply a

play23:49

bit of algebra to it so here's that bit

play23:51

of algebra if you remember that your

play23:53

creep rate is just your creep strain or

play23:56

strain over a Time T then you can

play24:00

rewrite your equation to look like this

play24:02

okay so that your time is equal to your

play24:04

strain over K Over Sigma to the * e q

play24:08

over RT so basically I just flip the

play24:10

equation and multiply um divide it

play24:12

through by my um

play24:14

string multipli through by my string now

play24:16

I'm taking all this stuff out front

play24:18

because I don't really care too much

play24:19

about it I'm just going to call it a for

play24:21

some constant right um and then I take

play24:23

the natural log of both sides and I get

play24:26

log of um natural log of T equals

play24:28

natural log of a plus Q RT move things

play24:31

over to the other side subtract it off

play24:34

multiply through by my temperature and

play24:36

then I get this relationship my

play24:38

temperature times the log natural log of

play24:40

my time minus that natural log of my

play24:42

constant now this is equal to Q overr

play24:45

okay now we can switch this over to a

play24:47

log base 10 plot so that it more closely

play24:50

matches your book and all that would do

play24:52

is just introduce a proportionality

play24:54

constant that we don't care too much

play24:55

about anyway and maybe change what this

play24:57

constant is here inside

play24:59

okay that's all that would do and then

play25:01

that is our lson Miller parameter l so

play25:04

our lson Miller parameter L is the

play25:06

temperature times the log of the time to

play25:09

rupture plus some constant C and your

play25:12

book says it tells you that this

play25:14

constant C varies a bit but it's about

play25:17

20 um I'm sure if you went through and

play25:19

did the math you could figure out why

play25:21

it's about

play25:22

20 the repture lifetime is usually cited

play25:25

in hours and it varies with the stress

play25:27

so Larson Miller plots look like this

play25:30

okay here you have your lson Miller plot

play25:33

Larson Miller parameter times 10 the 3

play25:36

so this is 12 * 10 3 16 * 10 3 so on and

play25:39

so forth okay this is yet again for that

play25:41

s590 iron that we've been citing a lot

play25:44

and then that's plotted versus the

play25:45

stress on the Y AIS so if you're an

play25:48

American material scientist engineer you

play25:50

have to get used to English units this

play25:52

is PSI okay not MEAP pascals but PSI so

play25:56

there it is um on that part of the plot

play25:58

you can see the uh the SI units in your

play26:01

book if you choose to do so okay and so

play26:04

what this does is it shows you the

play26:05

average of a set of Curves for these

play26:07

Larson Miller parameters um and uh what

play26:11

you can do you can use this to estimate

play26:13

rupture times so you gather the data at

play26:16

this high temperature yourself and then

play26:18

you use your um your Larson Miller

play26:21

parameter here which should be equal to

play26:22

a constant right that constant Q over R

play26:25

it should be equal to that constant and

play26:27

then you can figure out

play26:28

what the um the value is at the

play26:32

temperature that you're interested in so

play26:34

for example here let's estimate the

play26:36

rupture time for a component made of

play26:38

s590 iron at 173 Kelvin and a stress of

play26:42

20,000 PSI okay so if you go to the

play26:46

stress you're looking at which is 20,000

play26:48

PSI and you go over to your curve then

play26:51

you can read off what's your lar sillar

play26:53

parameter is there and it's 24 * 10 3

play26:57

okay so then you plug in 24 * 10 3 for

play27:01

your Larson Miller parameter you plug in

play27:04

your temperature there on the left hand

play27:05

side and then you solve for that log of

play27:07

the time to rupture um and the time to

play27:10

rupture once you get rid of that log is

play27:13

233 hours so you can um check that out

play27:17

but that would be how you would maybe

play27:18

extrapolate data when you don't want to

play27:21

run the data at uh for for super long

play27:25

time you just run it at a higher

play27:27

temperature for or a shorter amount of

play27:29

time okay that finishes off um what I

play27:32

wanted to say about chapter eight in

play27:35

summary engineering materials are not as

play27:38

strong as predicted by the theory that

play27:40

you might get from a ttile stress okay

play27:43

they can uh fail at stress is much lower

play27:47

than their yield stress um or their

play27:49

tensile stress and the reason for that

play27:52

is first of all because materials are

play27:53

flawed they have a lot of flaws in them

play27:56

um and those flaws the scratch as the

play27:58

dings the dents um or even just voids

play28:01

inside the part that might not be

play28:03

visible to the naked eye they act to

play28:05

stress concentrators and those stress

play28:07

concentrators can cause failure as

play28:09

stress is much lower than theoretical

play28:11

values if you have a sharp corner in

play28:13

your plot in your part you definitely

play28:15

want to get rid of that you don't want

play28:16

that included in your design because

play28:18

that's a large stress concentration

play28:20

right there that can help out with

play28:21

premature failure which is totally

play28:23

undesirable your failure type is going

play28:26

to depend upon your temperature and your

play28:28

stress okay um if you have a simple

play28:31

fracture like it's

play28:33

non-cyclic your stress is non- cyclic

play28:35

and your temperatures are relatively low

play28:38

then your failure stress is going to

play28:40

decrease with increased maximum flaw

play28:43

size decreased temperature and increased

play28:45

rate of loading if you have a fatigue

play28:48

situation with a cyclic stress then the

play28:51

Cycles to fail is going to decrease as

play28:53

your amplitude of stress

play28:55

increases and the creep for creep the

play28:59

time to rupture is going to decrease as

play29:01

your stress or your temperature

play29:02

increases so that's kind of a summary

play29:05

all right um see you in class

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Fatigue FailureCreep MechanismMaterial ScienceEngineering StressStructural IntegrityMechanical TestingFracture AnalysisSafety ConcernsDesign OptimizationMaterial Behavior
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