Predicting temp. at which defects will set in

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In summary, the speaker is discussing the calculation of surface energies for different types of defects in a bulk solid and is seeking guidance on how to determine the temperature at which a significant number of these defects would be present. They mention the concept of energy per mode in classical thermodynamics but are unsure how this applies to surface defects in a bulk crystal. The speaker also notes that there is no known statistical mechanical model for predicting the equilibrium number of extended defects at a given temperature.
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sam_bell
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Hi,

I am calculating surface energies for different kinds of defects in a bulk solid (e.g. twins, anti-phase boundaries, etc.) Let's say I get something like (just making this up) 1.0 meV/Angstrom^2. How would I calculate the temperature at which an appreciable number of said defect would be present in the sample? Classically, you have something like k_B T energy available per mode. But I get confused thinking about what might constitute a mode when talking about surface defects forming in a bulk crystal.

Thanks for suggestions,
Sam
 
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I'm not aware of any statistical mechanical model that gives "equilibrium" number of "extended" defects (anything different than point defects) at a given temperature. Even the word "equilibrium" may not be appropriate here.
 

1. What factors affect the prediction of the temperature at which defects will set in?

The prediction of the temperature at which defects will set in is affected by various factors such as the material properties, processing conditions, and environmental factors. Material properties include the type of material, its composition, and microstructure. Processing conditions refer to the temperature, pressure, and cooling rate during manufacturing. Environmental factors include exposure to corrosive substances or radiation.

2. How is the temperature at which defects will set in predicted?

The temperature at which defects will set in can be predicted through various methods such as theoretical calculations, empirical models, and experimental techniques. Theoretical calculations involve using mathematical equations to estimate the temperature at which a material will fail. Empirical models are developed based on experimental data and can provide more accurate predictions. Experimental techniques involve directly testing the material under various conditions to determine its failure temperature.

3. Can the prediction of the temperature at which defects will set in be 100% accurate?

No, the prediction of the temperature at which defects will set in is not 100% accurate. There are many factors that can affect the prediction, and it is challenging to account for all of them. Additionally, materials can behave differently under different conditions, making it difficult to accurately predict their failure temperature.

4. Why is it important to predict the temperature at which defects will set in?

Predicting the temperature at which defects will set in is crucial for ensuring the safety and reliability of materials and structures. It allows engineers and scientists to design and manufacture materials that can withstand the expected operating conditions, preventing unexpected failures and accidents. It also helps in determining the lifespan of a material and enables effective maintenance and repair strategies.

5. Can the prediction of the temperature at which defects will set in be applied to all materials?

No, the prediction of the temperature at which defects will set in is not applicable to all materials. Different materials have different properties and failure mechanisms, so the methods used for predicting the temperature at which defects will set in may not be suitable for all materials. The prediction methods need to be tailored to the specific material and its intended use.

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