Understanding the Heat Equation and its Practical Applications

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SUMMARY

The discussion centers on the heat equation, specifically the interpretation of the second spatial derivative, \(\partial_{xx}u\), in the context of temperature distribution. Participants clarify that \(\partial_{xx}u\) represents the rate of change of the temperature gradient, indicating how heat accumulates at a point. The equation \(\partial_t u = K \partial_{xx} u\) is established, where \(K\) is a constant that can be set to 1 under suitable units. The conversation emphasizes the importance of convexity in the spatial distribution of temperature for heat flow.

PREREQUISITES
  • Understanding of partial differential equations, specifically the heat equation.
  • Familiarity with concepts of temperature gradients and heat flow.
  • Knowledge of physical interpretations of mathematical derivatives.
  • Basic grasp of thermal diffusivity and its role in heat transfer.
NEXT STEPS
  • Study the derivation of the heat equation from first principles.
  • Explore the concept of thermal diffusivity and its calculation.
  • Learn about the physical implications of convexity in temperature distributions.
  • Investigate numerical methods for solving partial differential equations, such as finite difference methods.
USEFUL FOR

Students of physics and engineering, researchers in heat transfer, and professionals involved in thermal analysis will benefit from this discussion.

member 428835
given the heat equation \frac{\partial u}{\partial x}=\frac{\partial^2 u}{\partial x^2}
what does \frac{\partial^2 u}{\partial x^2} represent on a practical, physical level? I am confused because this is not time-space acceleration, but rather a temperature-spacial derivative.

thanks all!
 
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you're missing a time derivative,

\partial_tu=\partial_{xx}u.

We have the second partial of temperature in the spatial direction. One way to see this is, consider a local maximum in temperature in a spatial distribution of temp. Then all points nearby are warmer, so as time proceeds, the temp should increase. In other words, \partial_tu>0.

if you can understand this, i think you'll have a decent understanding of the idea behind the heat equation.
 
algebrat said:
you're missing a time derivative,

\partial_tu=\partial_{xx}u.
thanks! i definitely meant to put a t not x on the lhs

algebrat said:
We have the second partial of temperature in the spatial direction. One way to see this is, consider a local maximum in temperature in a spatial distribution of temp. Then all points nearby are warmer, so as time proceeds, the temp should increase.
as time proceeds...i meant what does \partial_{xx}u mean itself. i feel i don't understand this physical interpretation. i recognize \partial_{t}u represents how temp changes as we change time and \partial_{x}u is stating how temp changes if we change only the position, but holding time constant, what does the double partial \partial_{xx}u represnt?
 
The rate of heat flow along x is proportional to the temperature gradient along x, which is ##\partial_x u##.

##\partial_{xx} u## measures the rate of change of the temperature gradient along x, which is the rate at which heat "accumulates" at a point (because more heat is floiwing towards the point from one side than is flowing away from the other side).

The rate at which the heat "accumulates" also measures the rate of change of temperature at the point, or ##\partial_t u##.

So the differential equation for the system is ##\partial_t u = K \partial_{xx} u## for some constant ##K##, and if you measure length and time in suitable units, you can make ##K = 1##.
 
joshmccraney said:
thanks! i definitely meant to put a t not x on the lhsas time proceeds...i meant what does \partial_{xx}u mean itself. i feel i don't understand this physical interpretation. i recognize \partial_{t}u represents how temp changes as we change time and \partial_{x}u is stating how temp changes if we change only the position, but holding time constant, what does the double partial \partial_{xx}u represnt?

Convexity. Heat flows in a region only if there is convexity in the spatial distribution of temp. Convexity is the second derivative, or in this case, convexity in the spatial direction is the second partial with respect to x.
 
I would associate it with the shape of the distribution. It is the second derivative, so what does this mean for a sine function? A quadratic equation? A straight line?

Are you okay on what u_xx means as far as the shape of u(t,x)? And the shape I correlate strongly with the idea that spatial convexity in the temperature leads to heat, that is, a changing temp in time.

I'm not sure where exactly your question is, please let us know.
 
As alephzero points out, this is one of the (rate of flow in) minus (rate of flow out) equals (rate of accumulation) balances. The rate that heat is flowing in the x-direction (the heat flux q) is given by q(x)=-k\frac{\partial T}{\partial x}
If you consider a small element of the material lying along the the x-direction between x and x + Δx, then the rate of heat flow into the element at x is -k(\frac{\partial T}{\partial x})_x; the rate of heat flow leaving the element at x + Δx is -k(\frac{\partial T}{\partial x})_{x+\Delta x}. The rate of heat entering minus the rate of mass leaving is -k(\frac{\partial T}{\partial x})_x+k(\frac{\partial T}{\partial x})_{x+\Delta x}. This is equal to the rate of heat accumulation within the element. An expression for the rate of heat accumulation within the element is related to the rate at which the temperature is rising:

rate\ of\ accumulation=\Delta x \rho C_p\frac{\partial T}{\partial t}

where ρ is the material density and Cp is the heat capacity. If we set the rate of accumulation equal to the rate of heat flow in minus the rate of heat flow out, we obtain:
\Delta x \rho C_p\frac{\partial T}{\partial t}=-k(\frac{\partial T}{\partial x})_x+k(\frac{\partial T}{\partial x})_{x+\Delta x}

Taking the limit as Δx approaches zero gives:

\frac{\partial T}{\partial t}=\kappa \frac{\partial^2 T}{\partial x^2}

where \kappa is called the thermal diffusivity.
 
algebrat said:
you're missing a time derivative,

One way to see this is, consider a local maximum in temperature in a spatial distribution of temp. Then all points nearby are warmer,

Nitpicking but you mean "cooler"?
 

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