Solve $\frac{d^2\theta}{dx^2}- m^2\theta = 0$ ($m = \sqrt{hP/kA}$) and visualise the fin temperature distribution and fin efficiency in real time. Experience the design of CPU heat sinks and radiators.
A fin (cooling fin) is a projection that enlarges the heat-transfer area to promote heat dissipation. With base temperature $T_b$ and ambient temperature $T_\infty$, the distribution of the excess temperature $\theta = T-T_\infty$ follows from the one-dimensional fin equation. The key parameter is the fin parameter $m$ .
$m = \sqrt{\dfrac{hP}{k A_c}}, \qquad \theta(x)=\theta_b\dfrac{\cosh m(L-x)}{\cosh mL}\ \text{(adiabatic tip)}$
Here $h$ is the convection heat-transfer coefficient, $P$ the perimeter of the fin cross-section, $k$ the thermal conductivity and $A_c$ the cross-sectional area. For an adiabatic tip the heat rate from the whole fin is as follows.
$Q_{fin}=\sqrt{hPkA_c}\;\theta_b\tanh(mL)$
The larger $mL$, the more the temperature falls towards the tip, and lengthening the fin brings diminishing returns ($\tanh\to1$). As a rule, $mL\approx 0.5\sim1.5$ ($\eta\approx 0.9\sim0.6$) is a practical range.
Fin performance is judged by two dimensionless quantities.
| Measure | Formula | Meaning |
|---|---|---|
| Fin efficiency $\eta_f$ | $\dfrac{Q_{fin}}{h A_{fin}\theta_b}=\dfrac{\tanh mL}{mL}$ (adiabatic tip) | actual heat rate ÷ maximum heat rate if the whole surface were at the base temperature |
| Fin effectiveness $\varepsilon_f$ | $\dfrac{Q_{fin}}{h A_c\theta_b}$ | with fin ÷ without fin; $\ge 2$ makes the fin worth adding |
Fin efficiency approaches 1 the smaller $mL$ is (short fin, good conduction, weak convection). Making the fin too long brings the tip close to ambient and lowers the efficiency. The design guideline is to use a material of high conductivity $k$ (aluminium, copper), to gain area with thin fins in greater numbers, and to keep a spacing at which convection between the fins is not obstructed. In this simulator you can vary fin length, thickness, number and material and check the trade-off between heat rate and efficiency.
Cooling of electronics: CPU and GPU heat sinks are the most familiar example. As heat loads grow, combined cooling, an aluminium rectangular-fin array with forced convection from a fan, has become standard. The design of the fin spacing decides the performance.
Automotive radiators: They dump the heat of the engine coolant into the air. Fins are provided on both the water side and the air side (finned tubes), greatly enlarging the heat-transfer area. Different materials and fin shapes are sometimes used on the hot and cold sides.
Home appliances: Fins are used widely to cool locally hot parts such as the inside of induction cookers and the area around projector lamps. The challenge is to adopt an efficient fin shape under tight design and cost constraints.
Industrial heat exchangers: In large heat exchangers used in chemical plants and power stations, annular fins (fins running around the circumference) are welded to the outside of the tubes to improve heat-transfer performance. Material selection must also consider resistance to corrosive environments.
There are several points beginners tend to stumble over when starting simulations. First, the assumption that "the larger the convection coefficient h, the better". Raising h does increase the heat rate (the fin efficiency η itself falls because m grows), but in reality raising h (a higher fan speed, say) costs fan power and noise. Raising h from 10 W/m²K to 50 W/m²K increases the heat rate a lot, yet the fan required may not fit in the enclosure. Always keep the cost-performance trade-off in mind.
Next, "judging a design by the fin efficiency η alone". A high η means nothing if the absolute heat rate Q is insufficient. A large fin array with η=0.7 usually dissipates far more in total than a single small fin with η=0.9. Get into the habit of checking the "enhancement ratio" in this simulator. Finally, over-trusting the thermal conductivity k of the material. Copper (k≈400 W/mK) conducts about twice as well as aluminium (k≈200 W/mK) but is heavy and expensive, and most practical heat sinks are made of cost-effective aluminium alloys. The optimum is not "the best material" but "the cheapest and lightest material that meets the required performance".
For an aluminium rectangular fin 2 mm thick, 80 mm long and 50 mm wide (preset k=200 W/m·K), base temperature 150°C, ambient 25°C, natural convection h=15 W/m²·K and N=8: m=√(hP/kA)≈8.8 m⁻¹, mL≈0.71, fin efficiency η≈86%, heat rate per fin ≈13.4 W, tip temperature ≈124°C, array total ≈107 W and enhancement ratio ≈72. Switching to the triangular shape with the same dimensions gives η≈82% and 12.3 W; lengthening to 150 mm gives mL≈1.33, η drops to ≈66% while the heat rate rises to 19.2 W. This shows the trade-off between length and efficiency: a longer fin has lower η but a heat rate that keeps rising, ever more slowly.