Thermal Conductivity Heat Flow Calculator

Calculate heat flow rate through a material using thermal conductivity, thickness, area, and temperature difference.
Useful for insulation and building design.

Heat Flow Rate

Thermal Conductivity and Heat Flow

Thermal conductivity (k) measures how well a material conducts heat. A low k-value means the material is a good insulator. A high k-value means the material conducts heat readily.

Fourier’s Law of Heat Conduction

The rate of heat flow through a flat material is:

Q = k × A × ΔT ÷ d

Where:

  • Q = Heat flow rate (Watts or BTU/hr)
  • k = Thermal conductivity (W/m·K)
  • A = Cross-sectional area (m²)
  • ΔT = Temperature difference across the material (°C or K)
  • d = Thickness of the material (m)

Thermal Conductivity of Common Materials

Material k (W/m·K) Notes
Air (still) 0.025 Best natural insulator
Aerogel 0.015 Best solid insulator
Mineral wool 0.030–0.045 Common building insulation
EPS (Styrofoam) 0.033–0.040 Foam board insulation
Wood (pine) 0.12 Structural timber
Brick 0.60–1.0 Masonry walls
Concrete 1.0–1.5 Structural concrete
Glass 0.96 Windows
Steel 50 Structural steel
Aluminum 205 Heat sinks
Copper 385 Electrical wiring

Relationship Between k, R-Value, and U-Value

R-value (m²·K/W) = d ÷ k

U-value (W/m²·K) = k ÷ d = 1 ÷ R-value

Higher R-value = better insulation. Lower U-value = better insulation.

Practical Example

A 100 mm (0.1 m) thick concrete wall (k = 1.0 W/m·K), area 10 m², with indoor 20°C and outdoor −5°C:

  • ΔT = 25°C
  • Q = 1.0 × 10 × 25 ÷ 0.1 = 2,500 Watts of heat loss

Compare to 100 mm of mineral wool (k = 0.035):

  • Q = 0.035 × 10 × 25 ÷ 0.1 = 87.5 Watts — 28× less heat loss

A bit of history

This relationship is called Fourier’s law of heat conduction, published by Joseph Fourier in 1822 in his book Théorie analytique de la chaleur (The Analytical Theory of Heat). Fourier’s work on heat flow led directly to the Fourier series and Fourier transform, two of the most important mathematical tools in physics and engineering. His original problem was actually how heat spreads through the Earth’s interior, but the math turned out to apply to electromagnetic waves, signal processing, quantum mechanics, and much more. Most engineering students meet Fourier first through this thermal equation and again, a year or two later, through Fourier series in differential equations. The connection is direct: the heat equation requires Fourier series to solve.


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