En Bearing Temperature Rise Estimator is an efficient engineering tool designed to predict bearing temperature increases during operation based on factors such as load, speed, friction, lubrication conditions, and operating environment. It helps engineers and maintenance teams evaluate thermal performance, identify potential overheating risks, and optimize bearing selection and operating conditions. By using the Bearing Temperature Rise Estimator, users can improve machine reliability, reduce unexpected failures, and ensure longer bearing service life in various industrial applications.

Bearing Temperature Rise Estimator | ISO/TR 14179 · SKF Heat Balance
Operating Inputs
Bearing type presets

Presets fill f0 y f1 (oil-bath typical). Geometry stays editable.

Bearing geometry
mm
mm
Mean diameter dmetro = (d + D)/2 = 60.0 mm
Operating parameters
rpm
norte
°C
Lubrication & friction factors
cSt
1.5–8
—

Typical: ball 0.0005–0.0010 · roller 0.0002–0.0005 (Palmgren load torque).

Heat dissipation
W/m²K
m²

Pillow block ≈ 0.06–0.20 m² for this size class.

Heat-Balance Results
Estimated operating temperature
— °C
Temperature rise ΔT = — °C above ambient
20 °C7090120 °C
—

Enter valid inputs to estimate bearing temperature.

Heat generation Qgen
—
W at equilibrium = Qdiss
Total torque M
—
N·mm = M0 + M1
Viscosity product ν·n
—
METRO0 formula branch
Viscous torque M0
—
N·mm · lubricant churning
Load torque M1
—
N·mm · f1 · P1 · dmetro
Thermal resistance
—
K/W = 1 / (Hs · A)
Torque breakdown
METRO0 viscous — METRO1 load —
Interactive visualization

Speed sweep uses the current load, lubricant and housing. Dashed lines mark 70 °C and 90 °C alert thresholds.