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This article discusses the importance and need of bearing simulation models for designing efficient and high-performing bearing systems. Bearings play a key role in ensuring critical rotating parts spin freely under all operating conditions. Yet bearings remain among the more difficult components to model accurately. Bearings are a key component in industrial gears, but they are rarely modeled with any fidelity. Most simulations rely on simplified bearing models or simply assume rotating parts will spin perfectly. Accurate and validated bearing models must represent many rotating and interacting components. They must also consider complex boundary conditions, since bearing performance is highly dependent on the application and its operating environment. Many different system design and operating parameters influence the performance of bearings. Some can be controlled during operation. Others cannot, but may still have a significant impact on system performance. Design for Six Sigma enables engineers to gain insight into these parameters by designing experiments for virtual testing.

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