When Moog was having bearing issues before the program deadline, they needed a solution immediately.
Moog’s engineers tested a parametrized DigitalClone Component model to predict how new design iterations and duty cycles could extend their bearing’s life. This model provided hundreds of failure points within hours using external computational resources and cloud-based software. Moog’s testing team had much more data about their system’s performance, and could make better decisions at the end of a product development program. Moog can be certain that they have resolved all issues before their system flies an airplane.
- Determine the best cost/benefit solutions
- Keep product programs on time and budget
- Make the best decisions, with hundreds of test points