Virtual experiments with dynamic, nonlinear behavior of entire systems
Development tools which specialize only in one particular area often fail the manifold requirements in the field of mechatronics. This usually results in overdesigned systems, system failure as well as expensive and time-consuming revisions.
Wherever FEM and CFD analyses deliver accurate predictions about individual components and assemblies, dynamic system simulation examines time-dependent processes of the entire system. Such systems can also consist of components from different technical domains. The method of discrete networks combines the individual components (elements), which themselves can contain sub-components, through physical connections. This creates an abstract simulation model with varying complexity consisting of many elements and connections from various physical domains.