Abstract
Behavior models are central components of Digital Twins that enable the simulation of assets. Two of the typical requirements for running behavior models are simulation time and accuracy, which are influenced by the solver used and the step size at which the models are run. In this paper, existing system simulation solvers with different step sizes are investigated for their impact on simulation time and accuracy. For this purpose, behavior models of a vacuum gripping system with different solvers and step sizes are compared with measured values. The results show that a use case specific solver selection may be necessary.
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