Fourier's law of heat conduction describes how thermal energy moves through solid materials when there is a temperature difference. It connects the rate of heat transfer to the material's thermal conductivity, the cross-sectional area available for heat to flow, the temperature difference across the material, and the distance (thickness) the heat must travel. Engineers, physicists, and designers use this relationship to estimate heat loss through walls, pipes, machine components, and many other systems.
The calculator on this page implements the simplest and most widely used form of Fourier's law for one-dimensional, steady-state heat conduction through a flat slab. By entering thermal conductivity, area, temperature difference, and thickness, you can estimate the heat transfer rate in watts. The following sections explain the underlying theory, show how to interpret the result, and outline the assumptions and limitations you should keep in mind.
In its basic one-dimensional, steady-state form for a flat slab, Fourier's law can be written as:
where:
This expression is derived from the more general differential form of Fourier's law, which states that the local heat flux is proportional to the negative of the temperature gradient. In one dimension:
Here, q is the heat flux (W/m²). Assuming constant thermal conductivity and a linear temperature profile across a slab of thickness d, integrating this expression leads directly to the algebraic form used by the calculator. The negative sign indicates that heat flows from high temperature to low temperature, opposite the direction of increasing temperature. In the calculator, you typically enter the magnitude of the temperature difference, so the output is reported as a positive heat rate.
Thermal conductivity k quantifies how easily a material conducts heat. A large value of k means heat passes quickly through the material, while a small value indicates that the material resists heat flow and acts as an insulator.
Typical orders of magnitude include:
When using the calculator, choose a value of k appropriate to the material and conditions. Many reference tables list thermal conductivity at specific temperatures; keep in mind that k can vary with temperature, moisture content, and material composition.
The calculator returns the heat transfer rate Q in watts. One watt is one joule of energy transferred per second. A higher value of Q means that more heat is being conducted through the material each second for the conditions you specified.
You can use this result in several ways:
Because the formula is linear in k, A, and ΔT, and inversely proportional to d, the following scaling relationships hold:
Remember that this is a steady-state model: it describes the heat flow after the system has had time to settle, not the initial transient behavior when temperatures are still changing rapidly.
Consider a simple example of heat conduction through a flat insulated wall. Suppose you have:
Using Fourier's law:
Compute the numerator:
0.04 × 10 = 0.4
0.4 × 20 = 8
Then divide by the thickness:
Q = 8 / 0.15 ≈ 53.3 W.
This means that, under the simplified assumptions of the model, about 53 watts of heat will be conducted through the wall continuously as long as the temperature difference is 20 K and the material properties remain constant. Over one hour, this corresponds to roughly 53 W × 3600 s ≈ 190,800 J (or about 0.053 kWh) of energy.
If you were to double the insulation thickness to 0.30 m, keeping all other parameters the same, the heat rate would be roughly halved to about 26.7 W, illustrating how increasing thickness can significantly reduce conductive heat loss.
The table below compares approximate thermal conductivity values for several common materials at room temperature. Exact values depend on composition and temperature, but the orders of magnitude highlight how strongly conductivity influences heat flow.
| Material | Approximate Thermal Conductivity k (W/m·K) | Typical Use in Conduction Problems |
|---|---|---|
| Copper | ~400 | Heat sinks, high-performance conductors, cookware bases |
| Aluminum | ~200 | Electronics cooling, structural components with good heat spreading |
| Concrete | ~1.4 | Building walls, floors, and foundations |
| Wood (dry, softwood) | ~0.1–0.2 | Framing, interior finishes, modest insulation effect |
| Mineral wool insulation | ~0.04 | Building insulation to reduce heat loss |
| Expanded polystyrene foam | ~0.03–0.04 | Insulated panels, cold storage, and packaging |
| Still air | ~0.025 | Air gaps in walls, double-glazed windows (when convection is limited) |
Using the calculator with different values of k from this table quickly shows why low-conductivity materials are preferred for insulation and high-conductivity materials are chosen for heat spreading or removal.
The implementation of Fourier's law used in this calculator is intentionally simple and relies on several important assumptions. Being aware of these will help you decide when the result is a good approximation and when a more detailed analysis is needed.
The simple Fourier's law expression may be inaccurate in the following situations:
Use the calculator as a quick estimation tool for relatively simple, steady-state problems. For critical designs, safety analyses, or systems with complex geometries and boundary conditions, more detailed modeling or experimental validation is recommended.
By combining this calculator with sensible engineering judgment and awareness of its assumptions, you can quickly estimate heat transfer rates for many common conduction scenarios.