Collect and Evaluate Data
In order to collect data as efficiently as possible, we plan, execute and evaluate the associated campaigns. In addition, we extrapolate the data to long periods of usage. Geo-referenced data play an important role in planning as well as in evaluation and extrapolation. The approach and methods are described in the application fields Overall Process for Load Analysis.
The main results of the data collection campaign and its evaluation are reference or design loads. These represent customer behavior and are mapped to standard load cases or test tracks in a subsequent step. For road vehicles, for example, this means that the reference load is represented by a mixture of tracks on a proving ground. For an agricultural or construction machine, this is represented by a number of standard applications (ploughing, transport or excavation and truck loading). For this multi-target optimization task we offer the appropriate tools (U·SimOpt).
Determine Durability with Statistical Methods
In the area Fatigue Testing and Reliability we implement statistical methods for the planning and evaluation of lifetime tests and warranty data. Here, the tool Jurojin, developed over many years in close cooperation with industry, plays a central role.
Data Simulation and Load Tests
Often not all loads required for component evaluation could be measured. Thus, component loads have to be supplemented by simulation. In principle, this step could be performed early in the process, but is often only carried out after mapping to the test tracks or standard load cases in order to save simulation effort.
Before release, components or entire systems are tested and evaluated on the test bench. Especially for components with complex loads (wheel carrier of a passenger car or boom of an excavator), the full number of component loads cannot be realized in the test. Instead, simplified test configurations are sought (fewer cylinders, simpler load signals, etc.) in order to limit the effort. We deal with such questions in the field of Simplified Rig Tests.