System Simulation (or Systems Modeling and Simulation) is the ultimate arbiter of whether a product is meeting its given performance objectives. As such, System Simulation incorporates the end effects of all sub-systems and component in determining overall product performance. Traditionally, in Engineering Design and Simulation circles, System Simulation has been synonymous to Model Based Systems Engineering (MBSE), which INCOSE defines as a “formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.” However, in recent years with the popularizing of the Digital Twin and the Internet of Things (IoT), MBSE is now viewed as a component of System Simulation and not its totality. In addition to MBSE, System Simulation now includes items such the methods for combining different data sources (physics based predictions, test data, field data, etc,) that are statistically analyzed (Bayesian Information Fusion) to make a business decision (as opposed to simply an engineering design decision). It has also expanded its reach to include not only engineering design decision, but the entire product experience lifecycle including, product conception, manufacturing, field usage, etc.
In the end, it all comes down to the system performance of a given system or systems of systems. The components may be optimized, but if the system architecture is wrong, or your control software is buggy, the product will flop. Simulation is the perfect tool for system design and system verification and validation. Here, you’ll access the latest news, articles, presentations, videos, webinars, and success stories related to system simulation.
Open standards enable innovation. Systems need standards in order to connect models from different domains into the cyber-physical system. Check out the Modelica language and the FMI Standard.
An ever larger value in a product comes from software. It can be for controls, autonomy, or in the cloud as part of the Internet of Things. For mobility, the leading software stack is AUTOSAR.
Modelon’s hydraulics and pneumatics capabilities are now available within ANSYS Twin Builder. Learn more about the Fluid Power Library.View Blog Post
Carbon Capture and Storage (CCS) technology is steadily emerging as a leading technology for the decarbonization of large-scale commercial powerplants. In this blog, researchers of The Norwegian University of Science and Technology study the effectiveness and implementation of CCS technology using Modelon's modeling and simulation solutions.View Webinar
Modelon’s newest library, the Jet Propulsion Library, provides the foundation for modeling and simulating jet engines along with the integrated model-based systems engineering of aircraft systems.View Blog Post
Executable requirements speed up the system level verification and validation processView Blog Post
The Modelica language offers first class support for representing system architecture in models. This enables both architecture exploration and the development of product families.View Blog Post
This NASA Langley case study demonstrates how and why a simulation template was used to aid in the analysis and design of a complex space-borne electro-optical sensor.View Article
Engineering.com's Shawn Wasserman writes about Conceptual and Systems Design Fuels Open-Architecture Integrated CAE.View Blog Post
The role of intelligent templates to speed the development of laser weapon systems.View Presentation