Transport phenomena - shell balance

In summary, the task is to derive the equation for the two-dimensional temperature distribution, u, in a circular disk using the shell balance method in a polar coordinate system. The equation takes into account the possibility of differing thermal conductivities in the r and theta directions and assumes a steady state with no generation of heat. The resulting equation is kr(du/dr) + ktheta(du/dtheta) = 0, where kr and ktheta are thermal conductivities and u is the temperature distribution.
  • #1
Anabelle37
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0

Homework Statement



Use a shell balance method to derive the equation governing the two dimensional temperature distribution,u, in a circular disk in polar coordinate system(r,theta). allow for the possibility of differing thermal conductivities in the r and theta directions.

Homework Equations



fouriers law in the theta direction of a cylinderical coordinate system is qtheta=-ktheta*(1/r)*(du/dtheta)

The Attempt at a Solution



I know I have to begin with a shell balance: heat in - heat out + generation = accumulation

I have assumed that its steady state with no generation of heat.

shell balance: (rate of heat flow in at r) - (rate of heat flow out at dr) + (rate of heat flow in at theta) - (rate of heat flow out at rdtheta) = 0

does this seem right so far??

so when i actually write equations for the rate of heat flow = area x heat flow, q
what is the area since is only a circular disk? Can i not use surface area?
 
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  • #2
qin at r = kr(Tin-Tout)/drqout at dr = kr(Tout-Tdout)/drqin at theta = ktheta(Tin-Tout)/dthetaqout at dtheta = ktheta(Tout-Tdout)/dthetawhere Tin, Tout, Tdout are all temperaturessubstituting these equations into the shell balance equation:kr(Tin-Tout)/dr - kr(Tout-Tdout)/dr + ktheta(Tin-Tout)/dtheta - ktheta(Tout-Tdout)/dtheta = 0simplifying:kr(Tin-2Tout+Tdout)/dr + ktheta(Tin-2Tout+Tdout)/dtheta = 0which is the same as: kr(du/dr) + ktheta(du/dtheta) = 0so is this the equation governing the two dimensional temperature distribution?
 

What is transport phenomena?

Transport phenomena is a branch of science that deals with the study of the movement of mass, energy, and momentum in various physical systems. It involves understanding the principles that govern the transfer of these quantities and their effects on different materials and processes.

What is the shell balance method?

The shell balance method is a mathematical approach used in transport phenomena to analyze the behavior of a system by dividing it into thin layers or shells. This method involves applying conservation laws, such as mass, energy, and momentum, to each individual shell and then integrating them to obtain an overall description of the system's behavior.

What are the applications of shell balance in transport phenomena?

The shell balance method is commonly used in various engineering and scientific fields, such as chemical engineering, mechanical engineering, and environmental science. It is particularly useful in analyzing heat transfer, mass transfer, and fluid flow in different systems, including industrial processes, biological systems, and environmental systems.

What are the limitations of the shell balance method?

While the shell balance method is a useful tool for analyzing transport phenomena, it has some limitations. It assumes that the system is in a steady state and does not account for transient behavior. It also assumes that the system is homogeneous, which may not always be the case in real-world scenarios. Therefore, it is essential to carefully consider these assumptions when applying the shell balance method.

How does the shell balance method relate to other concepts in transport phenomena?

The shell balance method is closely related to other concepts in transport phenomena, such as the macroscopic balance equations and the differential balance equations. These concepts all describe the behavior of a system by applying conservation laws, but they differ in their level of detail and complexity. The shell balance method is a simplified approach that is often used as a first step in analyzing a system before moving on to more complex methods.

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