| name | fins |
| description | Extended surface (fin) heat transfer — fin efficiency, fin effectiveness, optimal fin dimensions, annular fins, spine fins, fin arrays, overall surface efficiency for heat exchangers. |
| metadata | {"priority":6,"promptSignals":{"phrases":["fin","extended surface","fin efficiency","heat sink","fin array","fin effectiveness"],"minScore":4}} |
Fins / Extended Surfaces — Complete Skill
Why Fins?
Fins increase surface area to enhance convection when h is small (natural convection in air, h=5-25 W/m²K).
Not beneficial when h is large (nucleate boiling, h=5000-25000 W/m²K — fin resistance dominates).
Governing Equation (Straight Fin, Constant Cross-Section)
d²θ/dx² - m²θ = 0
θ(x) = T(x) - T_∞ [excess temperature]
m = √(hP/kA_c) [fin parameter, m⁻¹]
P = fin perimeter, A_c = fin cross-section area
Solution: Adiabatic tip (most common assumption):
θ(x)/θ_b = cosh(m(L-x))/cosh(mL)
q_fin = M × tanh(mL) where M = √(hPkA_c) × θ_b
Corrected length for convecting tip:
L_c = L + t/2 (rectangular fin), L_c = L + D/4 (cylindrical spine)
Use L_c in adiabatic formulas → accounts for tip convection
Fin Efficiency η_f
η_f = q_fin / q_max = q_fin / (h×A_f×θ_b)
where A_f = total fin surface area (perimeter × length for straight fin)
Straight rectangular fin (adiabatic tip):
η_f = tanh(mL)/(mL) → depends only on mL
mL values and efficiency:
mL = 0.5: η_f = 0.924
mL = 1.0: η_f = 0.762
mL = 1.5: η_f = 0.627
mL = 2.0: η_f = 0.482
mL = 3.0: η_f = 0.350
Rule of thumb: keep mL < 1.5 for η_f > 0.60 (diminishing returns above)
Fin Effectiveness ε_f
ε_f = q_fin / (h×A_c,b×θ_b) [ratio vs. unfinned area at base]
ε_f = √(kP/(hA_c)) × tanh(mL) (for adiabatic tip)
ε_f > 2 → fin is effective; if ε_f < 2 → fin not worth adding
When fins are effective: high k, low h, thin fins (high P/A_c)
Optimal Fin Dimensions (Maximum q for Fixed Volume)
Rectangular fin (optimal profile for minimum material):
Optimal: h(t/2)^(1/3) / k^(2/3) = 1.4192 (Stuart number)
Optimal tip temperature: T_tip - T_∞ ≈ 0.36(T_b - T_∞)
Parabolic fin: theoretically optimal (mass-per-heat same as optimal rectangular)
Triangular fin: 80% of mass savings of parabolic, easier to manufacture
Annular (Circular) Fin
A_c = 2π(r₂-r₁)×t [fin cross section approximation for thin fin]
P = 2×2πr (perimeter, both sides)
m = √(2h/(k×t)) [for thin annular fin, t = thickness]
Efficiency from chart: η_f = f(m×L_c, r₂c/r₁) where r₂c = r₂ + t/2
For corrected outer radius r₂c:
η_f from graph or: η_f = C₂/C₁ × K₁(m×r₁)I₁(m×r₂c) - I₁(m×r₁)K₁(m×r₂c) / (I₀(m×r₁)K₁(m×r₂c) + K₀(m×r₁)I₁(m×r₂c))
(I, K = modified Bessel functions of 0th and 1st order)
Simplified for engineering use: Use efficiency chart from Incropera Table 3.19 or Fig. 3.19
Overall Surface Efficiency (Fin Array)
For surface with fins AND unfinned base area:
η_o = 1 - N×A_f/A_total × (1-η_f)
A_total = N×A_f + A_b (N fins + unfinned base)
Total heat transfer:
q_total = η_o × h × A_total × θ_b
Heat exchanger with fins:
R_surface,finned = 1/(η_o×h×A_total)
Heat Sink Design (Electronics Cooling)
Thermal resistance: R_hs = (T_base - T_air) / P_dissipated [°C/W or K/W]
R_hs = 1/(η_o × h × A_total)
Target: R_hs ≤ (T_junction,max - T_ambient - P×R_case-ambient) / P
R_junction-ambient = R_junction-case + R_case-heatsink + R_heatsink-ambient
Fin spacing optimization:
Too dense: high pressure drop, poor h (developing flow, low Re)
Too sparse: low A_total
Optimal spacing (natural convection, vertical fins):
S_opt ≈ 2.67 × (L/(Ra_L^0.25)) where Ra based on fin height
Common Fin Materials
Aluminum 6061: k=167 W/mK, lightweight, good machinability → heat sinks
Copper: k=401 W/mK, heavy, expensive → high-performance heat pipes
Steel: k=50 W/mK, poor fin material but often used with tube coils
Output
Provide: m [m⁻¹], mL, η_f, ε_f, q_fin [W], η_o for array, R_hs [°C/W], optimal fin dimensions if designing.