Manufacturers of rolling element bearings define L10 life as the number of revolutions or hours that 90 % of a group of identical bearings will exceed under a given load. In other words, only 10 % are expected to fail before reaching the L10 value. This statistical approach recognizes that material defects and lubrication issues cause variation from bearing to bearing. Engineers use the L10 rating when designing machinery to ensure reliability over many thousands of hours of operation. Although real-world conditions like contamination and misalignment may shorten life, the L10 estimate provides a consistent baseline for comparing different bearings.
The basic life equation recommended by industry standards such as ISO 281 relates the dynamic load rating to the equivalent applied load . The exponent depends on bearing type: 3 for ball bearings and 10/3 for roller bearings. The fundamental relation is:
The result is given in revolutions. To convert to operating hours, divide by the rotational speed in revolutions per minute and then by 60:
where is the speed in RPM. This calculator implements these formulas so you can explore how changes in load or bearing type affect longevity.
Bearing catalogs typically list the dynamic load rating for each model. This value represents the load under which 90 % of bearings will achieve one million revolutions. If your application’s load is lower than , the bearing should last well beyond a million revolutions. If the load approaches or exceeds the rating, life drops dramatically. Designers therefore select bearings where the applied load is safely below the rated capacity, often applying additional factors for shock loads or unusual operating conditions.
To use this calculator, obtain the dynamic load rating from the bearing supplier, measure or estimate the applied radial or axial load, and specify the rotational speed. Choose whether the bearing is a ball or cylindrical roller type so the program knows which exponent to use. The output includes the life in both hours and years (assuming continuous operation). Because the underlying model is exponential, even small reductions in load can greatly extend life, so feel free to experiment with different scenarios.
C (kN) | P (kN) | Speed (RPM) | Type | L10 Hours |
---|---|---|---|---|
25 | 5 | 1800 | Ball | 116000 |
25 | 10 | 1800 | Ball | 14500 |
50 | 20 | 1500 | Roller | 56000 |
The table illustrates how doubling the applied load can cut life by an order of magnitude. Roller bearings typically carry heavier loads than ball bearings but require a slightly different exponent in the formula, resulting in different sensitivities to load changes.
Real-world bearings rarely operate in ideal laboratory conditions. Vibration, shock loading, insufficient lubrication, and contamination all reduce life relative to the theoretical L10 figure. Engineers may apply reliability factors based on experience or additional testing to account for these effects. For instance, a dirty environment might warrant a multiplier of 0.5, effectively halving the predicted service hours. Temperature extremes can degrade lubricants, while misalignment increases internal stresses. Nevertheless, the standard L10 equation remains a common starting point for sizing bearings and estimating maintenance intervals.
Many manufacturers publish modified life equations that incorporate reliability factors , material factors , and operating conditions . This calculator keeps things simple by focusing on the basic relationship between load and rating. Still, once you grasp the core concept, you can easily extend the calculation by multiplying the result by any additional adjustment factors your supplier recommends.
Knowing the expected bearing life helps plan preventative maintenance and avoid unexpected downtime. In factory automation, bearings may run continuously for months or years, so even a small improvement in life can translate into significant cost savings. Engineers often check how life changes if they increase or decrease the bearing size, or if they limit machine speed. This calculator makes those explorations quick and transparent.
For hobby projects, such as robotics or home machining, the L10 life equation serves as a useful guide. Hobbyists can compare inexpensive bearings with high-end ones to see whether the additional capacity is worth the price. Because the calculation relies on simple inputs—load rating, actual load, and RPM—it can be performed with minimal data. If you are unsure of the exact load, try a range of values and note how sensitive the result is. Overestimating the load gives you a conservative life estimate.
Enter the dynamic load rating and applied load in kilonewtons. The rating should be a value provided by the bearing manufacturer, while the applied load represents the actual forces your bearing will experience. Input the rotational speed in RPM and select whether the bearing is of the ball or roller variety. When you press the button, the script calculates in revolutions using the exponent appropriate for the bearing type, converts to hours, and then divides by 8760 to express the result in years. All computation happens on your device, ensuring privacy and quick feedback.
Results are displayed in a short sentence summarizing both hours and years. Because bearings rarely run non-stop, the true calendar life may be much longer than the hour figure suggests. For instance, a bearing predicted to last 50,000 hours could serve for more than a decade if your machine operates only a few hours per day. Feel free to play with different duty cycles to see how operational hours translate to real-world time spans.
Rolling element bearings are critical components in countless machines, from skateboards and electric motors to wind turbines and industrial gearboxes. Predicting their life allows you to schedule maintenance, choose appropriate sizes, and compare products from different vendors. This calculator implements the classic L10 life equation so you can explore how load, rating, and speed interact. While no simple formula captures every nuance of bearing wear, this approach gives a solid first approximation that many engineers use daily. Experiment with it to deepen your intuition about bearing reliability and to plan your own projects more effectively.
Calculate the capacity factor of a wind turbine using rotor size, wind speed, efficiency and rated power.
Calculate permutations and combinations for any set size directly in your browser. Great for statistics students and anyone exploring probability.
Estimate the moisture percentage in honey using a refractometer Brix reading so you know when frames are ready to harvest.