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Gearbox Bearings Stiffness Calculator SimApp

“A common practice to reduce computational time is for CAE engineers is to use a single 6×6 stiffness matrix to represent bearings when performing complex, multi-load drivetrain analysis studies in a finite element environment. In reality, we know the bearing stiffness is very non-linear compared to load, so this assumption is incorrect. By leveraging the Comet Gearbox Bearing SimApp, a load-dependent 6×6 bearing stiffness matrix can be quickly, easily, and accurately predicted, and subsequently imported into the finite element model, significantly improving performance predictions.”
Brian Wilson, Advanced Drivetrain Engineering & Technology (ADET)


When performing finite element analysis of drivetrains, accounting for the bearing stiffness performance is required.   However, modeling bearings within the FE environment can often be quite challenging to properly implement and computationally intensive. Furthermore, the bearing stiffness performance is load dependent, quite non-linear, and can change dramatically due to thermal growth and internal loading sharing. And, in order to fully represent the drivetrain deflection and dynamics behaviors, the bearing performance must be predicted as part of a full system model, not as an individual component or subsystem.

Comet’s Bearing Stiffness Converter SimApp allows a load and temperature dependent bearing stiffness matrix to be calculated within a specialty software code encompassing the full drivetrain system. This specialty code is based on mathematical algorithms for not only a more accurate solution than normally obtainable from similar finite element approaches, but also more computationally efficient. The bearing stiffness output format is fully compatible with the finite element analysis tool, providing a viable solution for incorporating bearing stiffness behavior in drivetrain analysis studies.


  • Users may choose from a library of bearings models
  • Allows non-experts the ability to run analyses with confidence
  • Completely automated process; predefined templates guide the analysis
  • Results are compiled and reports can be generated completely automatically


  • Model preparation time reduced dramatically
  • Various configurations and designs can be studied in rapid succession