Estimate conductivity for gas blends using normalized fractions. Compare rules, outputs, charts, and derived checks. Support faster thermal design, validation, and reporting decisions daily.
Enter conductivity in W/m·K, molecular weight in g/mol, and fractions on any consistent mole fraction basis.
This sample shows a simple air like blend with added carbon dioxide.
| Component | Mole Fraction | Conductivity (W/m·K) | Molecular Weight (g/mol) |
|---|---|---|---|
| Nitrogen | 0.70 | 0.0260 | 28.0134 |
| Oxygen | 0.20 | 0.0263 | 31.9980 |
| Carbon Dioxide | 0.10 | 0.0166 | 44.0100 |
Example Wassiljewa result: 0.024601 W/m·K
xi,norm = xi / Σxi
karith = Σ(xi,norm · ki)
kharm = 1 / Σ(xi,norm / ki)
φij = [1 + (ki/kj)1/2(Mj/Mi)1/4]2 / √[8(1 + Mi/Mj)]
kmix = Σ[(xi,norm · ki) / Σ(xj,norm · φij)]
The advanced model accounts for molecular weight contrast and conductivity contrast. It is usually more realistic than a simple weighted average.
Normalization fixes totals that do not add to one. This keeps the mixture rule consistent and avoids scale errors caused by rounded or partially entered composition values.
Start with the Wassiljewa or Wilke style option. It includes interaction effects from conductivity and molecular weight, so it suits multicomponent gas blends better than a plain average.
Use W/m·K for every component. The output is reported in the same unit, so consistency across all rows matters more than the actual numerical size.
Not in this simplified page model. Pressure is recorded as a reference condition. If your component conductivities vary with pressure, update those input values before calculating.
Molecular weight affects the interaction factor between gases. Large contrasts can shift the predicted conductivity away from a simple weighted mean, especially in dissimilar mixtures.
Yes. Use as many rows as needed and leave unused rows blank. The code automatically ignores empty rows and computes the mixture from the valid ones.
It is a quick sensitivity band built from your chosen percentage. It does not replace full uncertainty propagation, but it helps judge whether small input changes matter.
Those references help bracket behavior. If the advanced result falls far from one reference, interaction effects are significant and deserve closer review.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.