σ: surface tension, h_fg: latent heat
μ_l: liquid viscosity, K: wick permeability
A_w: wick cross-section, r_eff: capillary radius
Select working fluid, wick type, operating temperature, and pipe dimensions to compute capillary limit, effective thermal conductance, and max heat flux. Compare all four fluids side by side.
σ: surface tension, h_fg: latent heat
μ_l: liquid viscosity, K: wick permeability
A_w: wick cross-section, r_eff: capillary radius
The core performance metric is the capillary limit, which determines the maximum heat transfer rate before dryout. It balances the capillary pumping pressure against the sum of viscous pressure drops in the liquid and vapor flows. The most common simplified form for the capillary limit is:
$$Q_{\max}= \frac{2\sigma h_{fg}}{\mu_l r_{\rm eff}}\cdot \frac{\rho_l K A_w}{L}$$Where:
$Q_{\max}$ = Maximum heat transfer (W)
$\sigma$ = Liquid surface tension (N/m)
$h_{fg}$ = Latent heat of vaporization (J/kg)
$\mu_l$ = Liquid dynamic viscosity (Pa·s)
$r_{\rm eff}$ = Effective pore radius of the wick (m)
$\rho_l$ = Liquid density (kg/m³)
$K$ = Wick permeability (m²)
$A_w$ = Cross-sectional area of the wick (m²)
$L$ = Total heat pipe length (m) – the "Pipe length L" in the simulator.
The effective pore radius ($r_{\rm eff}$) and permeability ($K$) are determined by the wick structure. This is why the simulator's "Wick type" parameter is so critical. For a simple screen wick, these can be approximated from the mesh size and wire diameter.
$$K \approx \frac{d_w^2 \varepsilon^3}{122(1-\varepsilon)^2}, \quad r_{\rm eff}\approx \frac{1}{2}\left( \frac{1}{N} - d_w \right)$$Where:
$d_w$ = Wire diameter (m)
$\varepsilon$ = Wick porosity
$N$ = Mesh number (lines per meter)
This shows how the fine geometry you choose for the wick directly scales the maximum heat the pipe can handle.
Spacecraft Thermal Control: Heat pipes are vital in satellites, where they move heat from electronics to radiators without moving parts. Ammonia heat pipes are common for their wide temperature range and high performance in zero-gravity, where capillary action is the only reliable pumping mechanism. Engineers use calculations like this to size pipes for instrument panels.
High-Performance Electronics Cooling: From gaming PCs to data center servers, heat pipes efficiently transport heat from a hot CPU to a large finned heatsink. Copper-water heat pipes with sintered powder wicks are typical here, chosen for their high capillary limit at near-room temperature, which you can test in the simulator.
Energy Recovery & HVAC: Heat pipe heat exchangers pre-cool incoming fresh air in buildings by transferring heat to the exhaust air stream. Arrays of moderate-temperature heat pipes (using methanol or acetone) are used. Their design relies on knowing the capillary limit to ensure each pipe operates reliably over decades.
Nuclear Reactor Cooling: In some advanced reactor designs, heat pipes are proposed as a passive, fail-safe cooling system for the core. Liquid metal heat pipes (e.g., sodium or potassium) operating at very high temperatures would be used, where accurately predicting the capillary limit is a critical safety calculation.
When you start using this tool, there are a few common pitfalls to watch out for. First, understand that "the calculation results are ideal values". The capillary limit provided by the tool is a theoretical maximum. Actual performance can be 10-30% lower due to wick uniformity, impurities, or tilt (gravity effects). For instance, even if the calculation shows 100W, the practical wisdom is to set your design heat load to 70W for a safety margin.
Next, pay attention to the "Temperature" parameter setting. You should input the intended 'operating' average temperature *after* the heat pipe has started functioning as designed, not the temperature of the heat source itself. For example, if you're designing a CPU cooler to operate at 80°C, evaluate the working fluid properties around 80°C. Calculating with properties at 0°C is meaningless.
Finally, be mindful of the interpretation of "Effective Thermal Conductivity". The value shown by the tool is an apparent value assuming the entire heat pipe is a "homogeneous solid". So, don't get overly excited about "1000 times that of copper!" and try to use that value in conventional thermal conduction calculations. Use it strictly as a guideline for incorporating the heat pipe as a "component with minimal thermal resistance" into your system.