How to use the thermal diffusivity calculator
Find how quickly temperature spreads through a material from its conductivity, density and specific heat. Enter thermal conductivity, density, specific heat in the fields above; the thermal diffusivity are computed instantly and plotted on the chart so you can see how the answer changes.
Common searches this calculator answers include “thermal diffusivity”, “how fast heat spreads”, “alpha = k over rho cp”, “calculate thermal diffusivity”, “find thermal diffusivity”.
Formula
Variables
- k — Thermal conductivity (W/(m·K))
- rho — Density (kg/m³)
- cp — Specific heat (J/(kg·K))
Worked example
With thermal conductivity = 0.6 W/(m·K), density = 1000 kg/m³, specific heat = 4186 J/(kg·K), the calculator gives thermal diffusivity ≈ 1.4333 × 10⁻⁷ m²/s; thermal diffusivity ≈ 0.1433349 mm²/s.
Frequently asked questions
What is the thermal diffusivity calculator used for?
Find how quickly temperature spreads through a material from its conductivity, density and specific heat. It helps with questions such as “thermal diffusivity”, “how fast heat spreads”, “alpha = k over rho cp”.
What is the formula for the thermal diffusivity calculation?
Thermal diffusivity (m²/s) = k / (rho × cp). Thermal diffusivity (mm²/s) = [Thermal diffusivity] × 1e6. Here k is thermal conductivity (W/(m·K)), rho is density (kg/m³), cp is specific heat (J/(kg·K)).
What inputs do I need for the thermal diffusivity calculator?
You need thermal conductivity in W/(m·K), density in kg/m³, specific heat in J/(kg·K). Each field is pre-filled with a typical example so you can see how the result responds as you edit the numbers.
How do I use the thermal diffusivity calculator?
Type values into the input fields. Results and the chart update instantly. Use Reset to restore the example values, Copy results to paste them elsewhere, or Share to copy a link that preserves your inputs.
Is the thermal diffusivity result exact?
Calculations use standard formulas and double-precision arithmetic, then display about seven significant figures. Real-world measurements carry uncertainty, so treat results as estimates unless your inputs are exact.