Calculations: Creep of Metals and the Life of a Rod

Click For Summary
SUMMARY

The discussion focuses on solving a problem related to the creep of metals, specifically analyzing a steel rod subjected to a stress of 8000 psi at 1000ºF. The key equations involved include the steady-state creep rate expressed as $$ε = B|∂|^n exp (-Q/kT)$$. Corrections emphasized the importance of not using the middle line in Figure P3.6 and highlighted the need to plot ln(eps-dot) + Q/kT against ln(Sigma) to derive constants n and B. The final calculations yielded B as approximately 5.124 * 10^{10} and n as 348.16.

PREREQUISITES
  • Understanding of creep mechanics and material science
  • Familiarity with the Arrhenius equation and its application in material behavior
  • Proficiency in using LaTeX for mathematical expressions
  • Basic knowledge of stress-strain relationships in materials
NEXT STEPS
  • Study the application of the Arrhenius equation in materials science
  • Learn how to derive and interpret creep curves for different materials
  • Explore the use of LaTeX for typesetting complex equations
  • Investigate temperature dependence in material properties and its implications
USEFUL FOR

Material scientists, mechanical engineers, and students studying the mechanical properties of materials, particularly those focused on creep behavior and its calculations.

Nadia
Messages
4
Reaction score
2
TL;DR
Exercise about estimating the life of a rod given a graph and an equation to work with. (Ex. 3.6 from Inelastic Deformation of Metals: Models, Mechanical Properties, and Metallurgy from D. C. Stouffer and L. Thomas Dame)
I'm sorry I'm uploading lots of images because I don't know how to write equations here.

PROBLEM DESCRIPTION

I have to solve this problem:

1673261486756.png

Figure P3.6:
1673261515670.png

MY SOLUTION

I did this:

1673261607364.png


THE CORRECTION

I got this as a correction:

- Don't use the middle line in figure P3.6 in my calculations.
- Start finding Q/k but for the top and bottom line, if they are not identical, deal with it.
- You will now have the temperature dependance.
- Plot ln(eps-dot)+Q/kT as a function of ln(Sigma)
- You get two points from which you can calculate n and B

SOLUTION AFTER THE CORRECTION

1673261884009.png


I've now done this part but I think it's wrong and I also don't know how to keep going with the plot.
 
Last edited:
Engineering news on Phys.org
FEAnalyst said:
It's hard to read those hand notes. It would certainly help if you rewrote the equations using LaTeX: https://www.physicsforums.com/help/latexhelp/
Okay! Thanks, I didn't see this. I'm gonna give it a try
 
In this thread, the problem is presented using images:

https://www.physicsforums.com/threads/creep-of-metals.1048878/

PROBLEM DESCRIPTION

I have to solve this problem:

3.6 A steel rod supporting a stress of 8000 psi at 1000ºF is not to exceed 5% creep strain. Knowing that the steady-state creep rate can be expressed by an equation of the form
$$ε = B|∂|^n exp (-Q/kT)$$,

where Q is the creep activation energy, determine the constants from the data for the steel in Figure P3.6 and estimate the life of the rod. (ºR = ºF - 460).

Figure P3.6:
1673261515670-png.png


MY SOLUTION
##y = ax+b##, ##a=\frac {\Delta y} {\Delta x} = \frac {y_2-y_1} {ln(\frac {x_2} {x_1})}##
$$ε = B|∂|^n exp (-Q/kT),$$

##1/T=m ln ε + n##

##lnε=lnB+nln|∂|-Q/(kT) \rightarrow lnε -b = \frac {-Q} {k} · \frac {1} {T}##
## \rightarrow \frac {-k} {Q} · \{ lnε - lnb \} = \frac {1} {T}##
## \rightarrow \frac {k} {Q} lnb - \frac {k} {Q} lnε = \frac {1} {T}##
## \rightarrow a = \frac {k} {Q} = \frac {\frac {1} {R_2} - \frac {1} {R_1}} {ln (\frac {ε_2} {ε_1}) }##

Using points from the graph:

##a = \frac {k} {Q} = \frac {\frac {1} {6.5*10^{-4}} - \frac {1} {6.85*10^{-4}}} {ln (\frac {0.006} {0.0008}) }=3.901*10^{-7}##

##\rightarrow ln0.0008 · lnB+n ln 8000 - \frac {1} {3.901*10^{-7}} · \frac {1} {811} ##

##\rightarrow ln0.0008 + \frac {1} {3.901*10^{-7}} · \frac {1} {811} -n ln8000 = lnB##

##ln0.0003=lnB + n ln5000 - \frac {1} {3.901*10^{-7}} · \frac {1} {T_2}##,

where ##\frac {1} {R} = 6.5*10^{-4} \rightarrow F = 1078,46 \rightarrow T_2 = 855K##

##ln0.0003=lnB + n ln5000 - \frac {1} {3.901*10^{-7}} · \frac {1} {855}##

##ln0.0003+\frac {1} {3.901*10^{-7}} · \frac {1} {855}-n ln5000=lnB##

##ln0.0008+\frac {1} {3.901*10^{-7} · 811} -n ln8000=ln0.0003+\frac {1} {3.901*10^{-7}} · \frac {1} {855}-n ln5000##

##3153.71-n ln8000 = 2990.07-n ln5000##

##163.64 = n ln8000 - n ln5000= n (ln8000-ln5000) = n 0.47##

##n = \frac {163.64} {0.47} = 348.16##

##-> ln0.0003 + \frac {1} {3.901*10^{-7} · 855} - 348.16 · ln5000 = lnB \rightarrow 24,6598 = lnB##

##e^{24.6598} = e^{lnB} = B \rightarrow B = 5.124 * 10^{10}##

From the relationship between strain rate and time:
##ln t = lnε + \frac {Q} {kT} - n ln∂ - lnB = 0.064##

##\rightarrow t=e^{0.064} = 1.067##

THE CORRECTION

I got this as a correction:

- Don't use the middle line in figure P3.6 in my calculations.
- Start finding Q/k but for the top and bottom line, if they are not identical, deal with it.
- You will now have the temperature dependance.
- Plot ln(eps-dot)+Q/kT as a function of ln(Sigma)
- You get two points from which you can calculate n and B

SOLUTION AFTER THE CORRECTION
From the first document:

## a_T = \frac {k} {Q} = \frac {\frac {1} {R_2} - \frac {1} {R_1}} {ln (\frac {ε_2} {ε_1})} = \frac {\frac {1} {7.2*10^{-4}} - \frac {1} {8*10^{-4}}} {ln (\frac {0.01} {1*10^{-6}}) } = 15.08 ##

##a_B = \frac {k} {Q} = \frac {\frac {1} {R_2} - \frac {1} {R_1}} {ln (\frac {ε_2} {ε_1})} = \frac {\frac {1} {6.2*10^{-4}} - \frac {1} {7*10^{-4}}} {ln (\frac {0.01} {1*10^{-6}}) } = 20.01##

They are not identical, so we interpolate:

##\frac {15000-5000} {8000-5000} = \frac {20.01-15.08} {x-15.08}##

From where ##x = 16.559##
##\frac {k} {Q} = 16.559## temperature dependance -> ##ln(ε) + \frac {Q} {kT} -> ln(ε) + 0.0604/T##
 
Last edited:
  • Like
Likes   Reactions: berkeman

Similar threads

  • · Replies 10 ·
Replies
10
Views
6K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
1
Views
1K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 28 ·
Replies
28
Views
2K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 10 ·
Replies
10
Views
7K
  • · Replies 5 ·
Replies
5
Views
3K
Replies
3
Views
3K