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.
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.
A safe design is determined by attaining a prescribed minimum failure probability, or satisfying performance criteria within limits of its mean and standard deviation. The need for probabilistic and stochastic analysis is driven by the requirements of norms and standards and by the practical and economic constraints placed on experimentation. Read more in this NAFEMS pamphlet.
Simulation Data Management (SDM) uses database solutions to enable users to manage structures of simulation and process data across the complete product lifecycle. SDM artifacts can be data, models, processes, documents and metadata relevant to modeling, simulation, and analysis.
Rimac, a Croatia-based automotive technology powerhouse, needed a more efficient and flexible way to evaluate multi-physics powertrain systems.
The Functional Mock-up Interface (FMI) was developed as an international standard for systems modeling. It addresses many of the issues associated with sharing of simulation information both inside and outside the enterprise. Read more in this NAFEMS pamphlet.
As the complexity of design solutions increases it becomes difficult to define the"worst case scenario” and identify the appropriate reserve margin for any given situation. This results in situations where designs are over- or under-designed. The use of UQ techniques addresses these issues directly. Read more in this NAFEMS pamphlet.
Achieving safe, robust, and feasible Democratization at NASA Langley Research Center.
The digitalization of our lives today is driving an ever faster-paced environment. Developing products based on skills and capability in specific engineering domains is no longer sufficient. Read more about Systems Modeling and Simulation in this pamphlet from NAFEMS.
Siemens PLM Software partners with Modelon, plans to integrate Modelon’s OPTIMICA Compiler Toolkit as the Modelica engine for Simcenter Amesim 17.
In this article, published in 2012 as an MSC Partner Showcase, Don Tolle, now at CIMdata, describes how Comet’s Intelligent Templates are used at the Aerospace Corp., to rapidly perform STOP (integrated Structural/Thermal/Optics) analysis using the platform’s Abstract Modeling techniques.
Modelon’s hydraulics and pneumatics capabilities are now available within ANSYS Twin Builder. Learn more about the Fluid Power Library.
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.
In this 2008 case study whitepaper, Bruce Jenkins interviews senior engineer Mike Patterson at General Dynamics Land Systems, about their use of the Comet simulation automation and Abstract Modeling technology to bring simulation upfront.
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.
Unified model representation enhances knowledge-capture efficiency across multiple disciplines
If you would get access to the heart of development at a top Formula 1 team, chances are high that you would find they simulate their vehicle-handling behavior using Modelica models. Dymola and the Vehicle Dynamics Library (VDL) are the de-facto standards for simulating car handling in the premiere motorsports leagues.
The arrival of the Functional-Mockup-Interface (FMI) has been a game changer by simplifying the combination of models from different tools.
Executable requirements speed up the system level verification and validation process
Ocean Energy Tamed by Modelon. Modelica based system simulation is the key enabler for product innovation.
This blog post is relevant for those who are familiar with the Functional Mock-up Interface and are interested in learning about the emerging companion standard, System Structure Parameterization (SSP).
The Modelica language offers first class support for representing system architecture in models. This enables both architecture exploration and the development of product families.
Ravi Desi (American-Axle Manufacturing) and Tory Scola (NASA Langley) discuss the importance of knowledge capture & reuse and why companies need to embrace targeted, solution-focused simulation apps to gain measurable improvements in innovation, development time, and related product quality.
FMI stands for Functional Mock-up Interface. It is an open standard for exchanging dynamical simulation models between different tools in a standardized format.
The Functional Mockup INterface comes in two flavors: model exchange and co-simulation. This blog explains the differences
Comet Solutions has enabled Intel to automate very complex analysis tasks enabling significant (months to days) reduction in time-to-decision for product design teams.
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.
Engineering.com's Shawn Wasserman writes about Conceptual and Systems Design Fuels Open-Architecture Integrated CAE.
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.