Calculating the coefficient of thermal expansion from density

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Discussion Overview

The discussion revolves around deriving a relation for the coefficient of linear thermal expansion (CLTE) based on density correlations, specifically in the context of a Uranium-Molybdenum metallic alloy. Participants explore the mathematical derivation, compare it with experimental data, and address discrepancies between their results and established correlations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant proposes a relation for CLTE derived from density ratios, suggesting that mass conservation leads to a formula involving density at two temperatures.
  • Another participant points out that the initial derivation uses a first-order Taylor Series approximation, questioning its validity in the context of the observed discrepancies.
  • A later reply emphasizes that the average CLTE, denoted as ##\bar{\alpha}##, varies depending on the integration limits, which could affect the results.
  • Some participants discuss whether treating CLTE as a constant over a temperature range is appropriate, suggesting that it may not accurately reflect the behavior of materials.
  • There is mention of a potential sign error in the density correlation, which one participant acknowledges as a typo but claims to have corrected in their calculations.
  • Several participants engage in a discussion about the mean value theorem and its implications for integrating functions over a range, relating it to the derivation of CLTE.
  • One participant expresses frustration with the lack of resolution and suggests seeking input from another member of the forum.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the validity of the derivations or the reasons for the discrepancies with the INL correlation. Multiple competing views and interpretations of the mathematical treatment of CLTE remain unresolved.

Contextual Notes

Participants acknowledge limitations in their approaches, including the dependence on the definitions of CLTE and the assumptions made in the derivations. There are unresolved mathematical steps and differing interpretations of the integration process.

mark_bose
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TL;DR
Derivation of the coefficient of thermal expansion from density correlation and discrepancy with other experimental correlations.
Hi all,

I am trying to derive a relation (as function of temperature) for the coefficient of linear thermal expansion (CLTE) strating from a correlation for the density. But I'm getting a huge discrepancy from the experimental data.

I'll start telling you some reasoning I did to get a relation for the CLTE:

Let's say that ##\alpha(T)## is the linear coefficient of thermal expansion. Than, the generic length in one dimension should vary as
$$L=L_0(1+\alpha(T)\times (T−T_0))$$
Let's now consider a cube of volume ##V_0=L_0^3##. Accordingly to the previous equation, and supposing a isotropic expansion, the new volume should be:
$$V=L^3=L_0^3(1+α(T)\times(T−T_0))^3=V_0(1+\alpha(T)\times (T−T_0))^3$$
Since mass is conserved, one can derive the density ratio ##\rho(T_0)/\rho(T)=V/V_0##. Therefore, if I'm not mistaken, the relation for the CLTE is straightforward:
$$\alpha(T)=\frac{(\rho(T_0)/\rho(T))^{1/3}−1}{T−T_0}$$
Now, I tried to apply this approach to the specific case of Uranium-Molybdenum metallic alloy. The paper from Idaho National Laboratory (Thermophysical Propertiesof U-10Mo Alloy D. E. BurkesG. S. MickumD. M. Wachs) provides a correlation for both the density and the CLTE. The problem is shown in the figure below: if i use the density correlation provided by INL (##\rho(T)=17.15+8.63\times 10^{−4}(T[°C]+20)##) and I derive the CLTE from it (blue line), it is different from their correlation (orange line) for CLTE (##\alpha(T)=11.2+8.07\times 10^{−3}T##)

I suspect I made some naive mistake in the derivation of CLTE correlation or I'm looking at two different definition of the CLTE. Any idea?

1735668968556.png
 
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Do you know you are using a first order Taylor Series approximation of the solution for the ODE (1):

$$ \alpha(T) dT = \frac{dL}{L} \tag{Eq.1}$$

?
 
erobz said:
Do you know you are using a first order Taylor Series approximation of the solution for the ODE (1):

$$ \alpha(T) dT = \frac{dL}{L} \tag{Eq.1}$$

?
Thanks for your answer. You are right, it is a first order approximation, but I do not think that this is the problem: If so, the first order approximation and the INL correlation should at least agree at low ##\Delta T## but it is not the case. However, to be sure I can derive the real relation.

Let's start from your equation and integrate it in the range ##(T_0,T_1)##:
$$ \int_{L_0}^{L_{1}} \frac{dL}{L} = \int_{T_0}^{T_1} \alpha(T)dT $$
It becomes:
$$ ln\left (\frac{L_1}{L_0} \right) = \bar \alpha (T_1 - T_0) $$
Where ##\bar \alpha## is the average value in the aforementioned range. Let us multiply by 3 both side and exploit the logarithm rule: ##a ln(x) = ln(x^a)##. It follows:
$$ ln\left ( \left( \frac{L_1}{L_0} \right)^3 \right) = ln \left( \frac{V_1}{V_0}\right) = 3 \bar \alpha (T_1 - T_0) $$
Finally we can introduce the density ratio ## \rho_1/\rho_0 = V_0/V_1## and derive a relation for the average CLTE:
$$ \bar \alpha = \frac{ln(\rho_0/\rho_1)}{3(T_1-T_0)}$$
You can see from the figure that the first order relation and the complete one agree quite well at low temperature (as it should be). However, both are different from the INL correlation.
1735677812937.png

Any other idea?
 
Is ##\alpha## a function of temperature ##T## or not? Treating it as a constant ##\bar{\alpha}##, if its a function of temperature ##T## seems hand wavy.
 
Last edited:
mark_bose said:
TL;DR Summary: Derivation of the coefficient of thermal expansion from density correlation and discrepancy with other experimental correlations.

...Now, I tried to apply this approach to the specific case of Uranium-Molybdenum metallic alloy. The paper from Idaho National Laboratory (Thermophysical Propertiesof U-10Mo Alloy D. E. BurkesG. S. MickumD. M. Wachs) provides a correlation for both the density and the CLTE. The problem is shown in the figure below: if i use the density correlation provided by INL (##\rho(T)=17.15+8.63\times 10^{−4}(T[°C]+20)##) and I derive the CLTE from it (blue line), it is different from their correlation (orange line) for CLTE (##\alpha(T)=11.2+8.07\times 10^{−3}T##)......

##\rho(T)=17.15-8.63\times 10^{−4}(T[°C]+20)## !!
 
erobz said:
Is ##\alpha## a function of temperature ##T## or not? Treating it as a constant ##\bar{\alpha}##, if its a function of temperature ##T## seems hand wavy.
##\bar \alpha## is function of the integration extremes ##T_1## and ##T_0##. While ##T_0## is usually taken as environmental temperature, ##T_1## can be arbitrary selected. The meaning of ##\bar \alpha## is the "average CLTE" in the range ##(T_0,T_1)##, its value varies if the extremes vary as well. In the graph i wrote T, while probably I should have wrote ##T_1##. If you look at the reference from INL, they printed the avg. CLTE as function of the extreme ##T_1## keeping constant ##T_0 = 20 °C##. I did in my graphs.

1735743653415.png
 
mark_bose said:
##\bar \alpha## is function of the integration extremes ##T_1## and ##T_0##. While ##T_0## is usually taken as environmental temperature, ##T_1## can be arbitrary selected. The meaning of ##\bar \alpha## is the "average CLTE" in the range ##(T_0,T_1)##, its value varies if the extremes vary as well. In the graph i wrote T, while probably I should have wrote ##T_1##. If you look at the reference from INL, they printed the avg. CLTE as function of the extreme ##T_1## keeping constant ##T_0 = 20 °C##. I did in my graphs.

View attachment 355164
But if the average ##\bar{\alpha}## is increasing over sub ranges of ##T##, then ##\alpha## ( an apparently increasing function in ##T##) cannot be extracted from the integral involving ## \text{Eq.1}##, as though it were actually constant over the full range of ##T##.
 
Isn't it the mean value theroem (Wikipedia)?

By definition, the average value of a function ##f(x) ## in the range ##(a,b)## is ##\bar f = \frac{1}{b-a}\int_a^bf(x)dx##, consequently:
$$\int_a^b f(x)dx = \bar f (b-a)$$
 
mark_bose said:
Isn't it the mean value theroem (Wikipedia)?

By definition, the average value of a function ##f(x) ## in the range ##(a,b)## is ##\bar f = \frac{1}{b-a}\int_a^bf(x)dx##, consequently:
$$\int_a^b f(x)dx = \bar f (b-a)$$
I see what you are saying because of the linearity of ##\alpha## you can skirt the integration.
 
  • #10
  • #11
Yes, it was a typo in the post (btw, thanks @Lord Jestocost for pointing that out). However, I wrote it correctly in the python script:

Python:
import numpy as np
import matplotlib.pyplot as plt
#INL correlation for density
rho_umo = lambda T: 17.15 - 8.63e-4 * (T + 20)
#Theroetical derivation
clte_umo = lambda T: np.log(rho_umo(20)/rho_umo(T))/3/(T-20)*1e6
#INL correlation for CLTE
clte_umo_inl = lambda T: 11.2 + 8.07e-3*T
#PLOT
TT = np.linspace(20,800,1000)
plt.plot(TT,clte_umo(TT),label="my derivation")
plt.plot(TT,clte_umo_inl(TT),label = "INL correlation")
plt.ylabel("CLTE $\\times 10^6$ (1/°C)")
plt.xlabel("Temperature (°C)")
plt.legend()
 
  • #12
Last edited:

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