Viscous Dissipation

Category: Fluid Analysis (CFD) | Integrated 2026-04-06
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Viscous Dissipation

Viscous Dissipation: Theoretical Foundations

What is Viscous Dissipation?

๐Ÿง‘โ€๐ŸŽ“

Professor, I have a vague image that viscous dissipation is "heat generation due to viscosity," but what exactly is this phenomenon?


๐ŸŽ“

It's a phenomenon where the kinetic energy of a fluid is irreversibly converted into internal energy (heat) by the action of viscous forces. At the molecular level, it's the dissipation of kinetic energy due to molecular friction accompanying shear between fluid layers.


๐ŸŽ“

To give some everyday examples:

  • Tire rubber heating up during driving (deformation dissipation of a viscoelastic body)
  • High temperatures during Space Shuttle atmospheric re-entry (viscous dissipation inside the shock wave)
  • Localized heating at the gate in polymer injection molding
  • Slight temperature rise of water in a dam spillway

๐Ÿง‘โ€๐ŸŽ“

The water temperature rises even from a dam's falling water!


๐ŸŽ“

Theoretically, yes. If all the potential energy of water falling from a height $h = 100\,\text{m}$ were converted to heat:


$$ \Delta T = \frac{gh}{c_p} = \frac{9.81 \times 100}{4186} \approx 0.23\,\text{K} $$

This almost matches the value Joule measured experimentally in the 19th century.


Derivation of the Viscous Dissipation Function

๐ŸŽ“

Writing the viscous dissipation term in the energy equation accurately:


$$ \Phi = \tau_{ij}\frac{\partial u_i}{\partial x_j} $$

For incompressible Newtonian fluids, this becomes:


$$ \Phi = \mu \left[ 2\left(\frac{\partial u}{\partial x}\right)^2 + 2\left(\frac{\partial v}{\partial y}\right)^2 + 2\left(\frac{\partial w}{\partial z}\right)^2 + \left(\frac{\partial u}{\partial y} + \frac{\partial v}{\partial x}\right)^2 + \left(\frac{\partial v}{\partial z} + \frac{\partial w}{\partial y}\right)^2 + \left(\frac{\partial w}{\partial x} + \frac{\partial u}{\partial z}\right)^2 \right] $$

In tensor notation:


$$ \Phi = 2\mu\, \mathbf{D}:\mathbf{D} = 2\mu\, D_{ij}D_{ij} $$

๐ŸŽ“

The important point here is that $\Phi \geq 0$ always holds. This is a requirement of the second law of thermodynamics; viscous dissipation is a one-way process that always converts kinetic energy into heat.


๐Ÿง‘โ€๐ŸŽ“

So it's an "irreversible process."


Brinkman Number โ€” An Indicator of Viscous Dissipation Importance

๐ŸŽ“

The dimensionless number used to judge whether viscous dissipation can be neglected is the Brinkman number.


$$ \text{Br} = \frac{\mu U^2}{k \Delta T} $$

$\mu$ is viscosity, $U$ is characteristic velocity, $k$ is thermal conductivity, $\Delta T$ is characteristic temperature difference.


Br ValueInterpretationExample
$\text{Br} \ll 1$Viscous dissipation negligibleNormal water flow in a pipe
$\text{Br} \sim O(1)$Viscous dissipation should be consideredPolymer processing, lubricant films
$\text{Br} \gg 1$Viscous dissipation dominantHigh-speed flow, atmospheric re-entry vehicles
๐Ÿง‘โ€๐ŸŽ“

So we only need to include the dissipation term in the energy equation when the Br number is large, right?


๐ŸŽ“

Exactly. Unnecessarily including the dissipation term increases computational cost and worsens convergence, so prior judgment using the Br number is important.


Coffee Break Trivia

Discovery History of Viscous Dissipation โ€” From Joule Heating to Fluid Friction Heat (Stokes' Contribution)

The person who formulated viscous dissipation in fluids (the phenomenon where flow energy is converted to heat) hydrodynamically was George Gabriel Stokes (G.G. Stokes). In his 1845 paper "On the Theories of the Internal Friction of Fluids in Motion," he mathematically described the relationship between the viscous stress tensor and energy dissipation, clarifying the physical meaning of the viscous term in the N-S equations. Before this, Joule (1843) had demonstrated electrical-to-heat conversion (Joule heating) in solid resistors, and fluid friction heat can be positioned as its fluid dynamics counterpart. Aerodynamic heating in high-speed projectiles (ballistic missiles, spacecraft re-entry) originates from this viscous dissipation, and Stokes' 150-year-old theory is directly connected to the design of the Apollo capsule's heat shield.

Computational Methods for Viscous Dissipation

Incorporating Viscous Dissipation into the Energy Equation

๐Ÿง‘โ€๐ŸŽ“

When calculating viscous dissipation in CFD, which equations do you modify and how?


๐ŸŽ“

Add the viscous dissipation function $\Phi$ as a source term to the energy equation.


$$ \rho c_p \left(\frac{\partial T}{\partial t} + \mathbf{u} \cdot \nabla T\right) = k \nabla^2 T + \Phi $$

๐ŸŽ“

In finite volume method discretization, $\Phi$ is evaluated as an integral over the cell volume:


$$ S_\Phi = \int_V \Phi \, dV \approx \Phi_P \cdot V_P $$

Calculate the shear rate from the velocity gradient at each cell center, evaluate $\Phi = \mu |\dot{\gamma}|^2$, and add it as a source term to the energy equation.


๐Ÿง‘โ€๐ŸŽ“

Don't we need to modify the momentum equations?


๐ŸŽ“

Basically, no. However, if the temperature rise due to viscous dissipation affects viscosity (temperature-dependent viscosity), then feedback occurs to the momentum equations as well. In this case, the energy and momentum equations need to be solved coupled.


Viscous Dissipation in Turbulent Fields

๐ŸŽ“

In turbulent fields, the treatment of viscous dissipation differs from laminar flow. In the RANS (Reynolds-averaged) framework:


$$ \overline{\Phi} = \overline{\Phi}_{\text{mean}} + \varepsilon $$

$\overline{\Phi}_{\text{mean}}$ is dissipation from the mean velocity field, $\varepsilon$ is the turbulent kinetic energy dissipation rate (the very $\varepsilon$ from the $k$-$\varepsilon$ model).


๐ŸŽ“

In fact, $\varepsilon$ is automatically considered as a source term in the energy equation for most turbulent problems. The dissipation term in the turbulent kinetic energy equation is exactly this:


$$ \frac{\partial k}{\partial t} + \mathbf{U} \cdot \nabla k = P_k - \varepsilon + \text{(diffusion term)} $$

$P_k$ is the turbulent kinetic energy production term, $\varepsilon$ is the dissipation rate. This $\varepsilon$ ultimately becomes heat.


๐Ÿง‘โ€๐ŸŽ“

So the $\varepsilon$ in the $k$-$\varepsilon$ model is directly connected to viscous dissipation!


๐ŸŽ“

Exactly right. The final stage of the turbulent kinetic energy cascade is viscous dissipation ($\varepsilon$). In Kolmogorov scaling, the smallest scale where dissipation occurs is:


$$ \eta_K = \left(\frac{\nu^3}{\varepsilon}\right)^{1/4} $$

Notes on Numerical Accuracy

๐ŸŽ“

Let's summarize points to note in the numerical calculation of viscous dissipation.


ItemPoints to NoteCountermeasures
Velocity gradient accuracy$\Phi$ is proportional to the square of the velocity gradient, so gradient accuracy directly affects itUse second-order or higher schemes
Mesh resolutionRegions where wall shear is maximumMake wall mesh sufficiently fine
Distinguishing from numerical dissipationNumerical viscosity from upwind differencing also generates non-physical dissipationReduce numerical dissipation with high-order schemes
Non-Newtonian fluid$\Phi = \eta(\dot{\gamma})\dot{\gamma}^2$ is model-dependentVerify implementation of ฮฆ consistent with viscosity model
๐Ÿง‘โ€๐ŸŽ“

We need to be careful not to confuse numerical dissipation with physical viscous dissipation.


๐ŸŽ“

Especially in LES (Large Eddy Simulation), the SGS (Sub-Grid Scale) model introduces additional dissipation. Separating physical dissipation from model dissipation directly affects accuracy.


Coffee Break Trivia

Numerical Treatment of Viscous Dissipation โ€” Ensuring Energy Conservation Accuracy in High-Speed Flows

In high Mach number flow or high viscosity fluid analysis, accurately solving the "viscous dissipation term ฮฆ=ฯ„:โˆ‡u" (where heat is generated from velocity gradients) in the energy equation is important. This term is proportional to the square of velocity, so it increases rapidly in high-velocity regions. The numerical problem is that in regions with coarse mesh, velocity gradients are underestimated, leading to underestimation of dissipation and breaking energy conservation. Practically, evaluate the importance of dissipation beforehand using the "Brinkman number Br=ฮผUยฒ/(kฮ”T)", and if Br>0.1, always enable dissipation. Also, in calculations including the dissipation term, temperature and velocity residuals influence each other, so convergence criteria (residual below 1e-6) need to be set more strictly.

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