Modeling and Simulation Approach

SimulationX is known for its great usability following our motto: ‘What you see is what you get'.

Thomas Neidhold, ESI ITI GmbH

For different simulation tasks, there are different optimized methods. 

If you know the pros and cons of each simulation and modeling method, you are able to use them systematically, so you can get optimal results with little modeling and simulation efforts.

Methods

Efficient workflows through network-based modeling

Grid-based simulation methods, such as FEM and CFD, deliver highly accurate results for three-dimensional considerations of static and dynamic phenomena with respect to individual components and simple assemblies. If you want to simulate complex dynamic systems, however, this approach has its limitations: huge amounts of data and long computation times for instance.

SimulationX models on the other hand are based on a network of individual equation-based sub-models. This allows for systems which consist of many components from different domains (e.g. mechanics, control engineering, fluid power, thermal etc.) to be modeled in a very efficient way.

  • You can save time during the modeling and simulation process
  • The system models are clearly structured and easy to modify.
  • Many different variants can be evaluated with ease.

Simulations as accurate as necessary and as simple as possible

The sub-models contain equations for the description of physical properties and can be connected with each other through specific physical connections (mechanical, pneumatic, hydraulic, electrical etc.). To keep things simple, they include only those physical influences and parameters that are really necessary for the analysis.

If needed, you can also couple the network-based model with FEM or CFD simulations in SimulationX.

Overview
Lumped network simulation with equation-based model objects (SimulationX) Mesh-based simulation methods (e.g. FEM, CFD)
Model structure lumped elements mesh
Modeling - relevant physical properties and interactions modeled as elements in a network
- input of physical equations 		based on the geometry (high accuracy required) and material properties
Results in the modeled dimension in the three-dimensional space
Data volume manageable (low requirements in terms of computing power, short computation times, many variants possible) huge (requires a great deal of computing power, long computation times)
System representation shows a system’s functionality (geometry as additional visualization if needed) shows a system’s geometry
Especially suited for simulations of complex systems
complex means =
- multiphysics models (e.g. controller layouts, mechanical, hydraulic components etc. in one single model)
- Large number of components involved

simulations of individual parts or assemblies:
highly accurate analyses of detailed and very specific phenomena with three-dimensional effects

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Knowledge transfer

25 years of experience in modeling and simulation across many industries.

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ESI ITI engineering services

Optimize your product development with external engineering expertise.

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Throughout all dimensions: 1D, 2D, 3D

Many questions can be examined with the help of a model with a reduced number of degrees of spatial freedom. SimulationX offers you libraries with one-, two- and three-dimensional elements for your specific modeling task.

1D, 2D, 3D Simulation

Flexible and physical: acausal modeling

In SimulationX, you can model networks with acausal connections. That means that elements are linked through physical connections, and there is no need to take the operating direction into account.

acausal modeling