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From Component-level to System-level Durability Prediction

From Component-level to System-level Durability Prediction

Design problems at the full-assembly level, for example a complete suspension system or a full vehicle, are too often discovered late in the development process. Therefore, the ambition of durability engineers is to optimize subsystems or systems as a whole. This is exactly what LMS Virtual.Lab has to offer. It tightly integrates multibody simulations with flexible-body analyses and fatigue-life predictions. The durability performance of any particular system part can be effectively and accurately traced. LMS Virtual.Lab’s proven solver technology and real-life modeling capabilities guarantee top-class prediction accuracy.

Early system load simulations

Long before vehicle prototypes become available, LMS Virtual.Lab is capable of generating system loads. LMS Virtual.Lab can start from virtual driver sessions, or from road tests executed on a previously released vehicle.

The Digital Test Track approach predicts spindle loads through realistically simulated driver sessions. A virtual vehicle is equipped with virtual tires to allow it to "ride" over digitized test tracks.

For tracks and public roads that are too complex or expensive to be digitized, LMS Virtual.Lab offers a valid alternative. The Hybrid Road approach incorporates test-based system loads of a predecessor vehicle in order to generate loads that can be confidently applied to the new design.

Easy to create and reuse models

Setting up multibody models in LMS Virtual.Lab Motion is very easy, for any type of user. Novices will like the way its built-in workflow, custom templates and wizard applications speed up the creation process. Experts will appreciate all available specialized features and capabilities. Existing multibody models, such as rigid-body models from LMS DADS and MSC.ADAMS, are easily importable and effectively reusable.

Scalable modeling makes it possible to refine or coarsen models at any time. Engineers can quickly set up a base model to effectively assess handling performance at high computing speed. Plugging in a flexible body is an example of refining the model for comfort and durability analyses. When finished, the handling performance of the design can be checked again by downscaling to the base model.