AMESim
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Modelling and Simulation with LMS Imagine.Lab Amesim
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| Developer(s) | Siemens PLM Software |
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| Initial release | 1995 |
| Stable release |
LMS Imagine.Lab Amesim 15
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| Platform | Cross-platform |
| Available in | English, Japanese, Chinese |
| Type | modeling, simulation, Graphical User Interface |
| License | Proprietary |
| Website | LMS Imagine.Lab Amesim website |
LMS Imagine.Lab Amesim is a commercial simulation software for the modeling and analysis of multi-domain systems. It is part of systems engineering domain and falls into the mechatronic engineering field.
The software package is a suite of tools used to model, analyze and predict the performance of mechatronics systems. Models are described using nonlinear time-dependent analytical equations that represent the system’s hydraulic, pneumatic, thermal, electric or mechanical behavior. Compared to 3D CAE modeling this approach gives the capability to simulate the behavior of systems before detailed CAD geometry is available, hence it is used earlier in the system design cycle or V-Model.
To create a simulation model for a system, a set of libraries is used, they contain pre-defined components for different physical domains. The icons in the system have to be connected and for this purpose each icon has ports, which have several inputs and outputs. Causality is enforced by linking the inputs of one icon to the outputs of another icon (and vice versa).
LMS Amesim libraries are written in C language and also support Modelica which is a non-proprietary, object-oriented, equation based language to model complex physical systems containing, e.g., mechanical, electrical, electronic, hydraulic, thermal, control, electric power or process-oriented subcomponents. The software runs on most UNIX platforms (particularly under Linux) and on Windows platforms.
LMS Imagine.Lab Amesim 15 was released in July 2016.
LMS Imagine.Lab Amesim is a part of the Siemens PLM Software Simcenter portfolio. This combines 1D simulation, 3D CAE and physical testing with intelligent reporting and data analytics. This portfolio is intended to provide engineers and analysts with a comprehensive solution for development of complex products that include smart systems, through implementing a Predictive Engineering Analytics approach.
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