Viscosity-Temperature Interpolation Calculator
Use at your own risk. Verify inputs, assumptions and results independently before applying them.
Interpolate lubricant kinematic viscosity at another temperature using the ASTM D341 Ubbelohde-Walther relationship.
Formula notes and assumptions
The simplified v + 0.7 double-log relation requires reference viscosities above 0.3 cSt for real logarithms. This mathematical bound is not a guarantee of physical validity at low viscosity. Temperatures use T = t + 273.15 in kelvin. Extreme extrapolation may be rejected when the estimate cannot be represented.
- The calculation uses the ASTM D341 Ubbelohde-Walther relationship with
v + 0.7. - Reference and target temperatures are entered in degrees Celsius and converted to Kelvin by adding 273.15 for this ASTM D341 calculation.
- Viscosity values should be positive kinematic viscosities in cSt or mm2/s.
- Use interpolation between nearby measured points for screening; extrapolation farther outside the reference range should be treated cautiously.
Input definitions
- Reference temperature T1
- First known temperature where lubricant kinematic viscosity is known. Unit: deg C.
- Viscosity at T1
- Known kinematic viscosity at the first reference temperature. Unit: cSt or mm2/s.
- Reference temperature T2
- Second known temperature where lubricant kinematic viscosity is known. Unit: deg C.
- Viscosity at T2
- Known kinematic viscosity at the second reference temperature. Unit: cSt or mm2/s.
- Target temperature T3
- Temperature at which the interpolated viscosity should be estimated. Unit: deg C.
Worked example
For a lubricant with kinematic viscosity 68 cSt at 40 °C and 8.6 cSt at 100 °C, enter a target temperature of 60 °C. The calculator returns approximately 28.49 cSt. At 80 °C it returns approximately 14.59 cSt. Reset restores the 60 °C example.
This estimates viscosity between the two measured temperatures for the same lubricant. Use the estimate as an operating-temperature input for a lubrication calculation, and verify it against measured data when accuracy matters. Extrapolation, phase changes and non-Newtonian behavior can invalidate the relationship.
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