Click the image below for an overview of the durability qualification procedure used by Ford for an elastomeric motor mount simulated in Ansys Workbench and post-processed with Endurica. (Video Time = 3:18)
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Details on the durability qualification procedure used by Ford for an elastomeric motor mount simulated in Ansys Workbench and post-processed with Endurica.
The loading schedule includes 144 different events recorded at the test track, each having as many as 6 input channels (3 forces and 3 moments). The analysis begins by computing a nonlinear map of global load inputs to local FEA stress-strain fields. This map is then used in Endurica EIE to rapidly generate full transient stress-strain history (15.6 million time steps) for each finite element. Over 3 terabytes of stress-strain history is produced, which is then passed to Endurica CL to solve for fatigue life. The analysis takes into account the elastomer’s nonlinear material properties, and correctly predicts failure location and fatigue life.
Endurica EIE can be used independently and is ready to tackle your next over-sized computing challenge.
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| Before Endurica, we went through 40+ design iterations trying to reduce the strain amplitude as much as possible. We also went through 4 or 5 rounds of physical testing before a successful test.
Since we adopted Endurica CL, we have been able to compare the fatigue life for new designs against previous designs that we have been successful with. This has meant that we can produce a suitable design with only a handful of design iterations and a single physical test. — Liam Turbet, Technical Manager – Delkor Rail Pty Ltd |
The theory behind rubber durability was the hardest part — there’s so much more to it than metal durability. Actually using the software was easy because the manual was straightforward, very clear, and easy to use.
— Jared Schellenberg, Capstone Project Hardware Lead, B.S.M.E. – University of Calgary
Without the software the students would have achieved something but not to the extent and to the level that they actually did achieve. It was clear at their final presentation that the software gave them a strong tool to do their work and they actually gained a lot of knowledge. — Alejandro (Alex) Ramirez-Serrano, Professor, P.Eng., Director UVS Robotarium Robotics Lab, Department of Mechanical Engineering – University of Calgary |