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What Is System Simulation?

It All Comes Down to the System!

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.

What is a Probabilistic or Stochastic Analysis?

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.

What is Simulation Data Management?

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’s Journey Towards Full Vehicle System Simulation

Rimac, a Croatia-based automotive technology powerhouse, needed a more efficient and flexible way to evaluate multi-physics powertrain systems.

Solution Providers:

Modelon logo

What is Functional Mock-Up Interface?

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.

What is Uncertainty Quantification (UQ)?

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.

Analysis Template Development at NASA Langley

Achieving safe, robust, and feasible Democratization at NASA Langley Research Center.

Solution Providers:

What is Systems Modeling & Simulation?

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 Partners with Modelon

Siemens PLM Software partners with Modelon, plans to integrate Modelon’s OPTIMICA Compiler Toolkit as the Modelica engine for Simcenter Amesim 17.

Rapid Concept Engineering at The Aerospace Corp.

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.

Solution Providers:

Modelon’s Hydraulics and Pneumatics Capabilities Available in ANSYS® TWIN BUILDER™

Modelon’s hydraulics and pneumatics capabilities are now available within ANSYS Twin Builder. Learn more about the Fluid Power Library.

On-Demand Webinar: Integrating Carbon Capture & Storage Technology Using Simulation

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.

GDLS Achieves Early Simulation using Simulation Automation Platform

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.

Solution Providers:

Model-Based Systems Engineering for Aircraft Engines

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.

Less is more: MBSE for unified model representation in simulation

Unified model representation enhances knowledge-capture efficiency across multiple disciplines

When fast isn’t fast enough

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.

Solution Providers:

System Simulation in a heterogeneous World

The arrival of the Functional-Mockup-Interface (FMI) has been a game changer by simplifying the combination of models from different tools.

Integrating Executable Requirements to Accelerate Design Iterations

Executable requirements speed up the system level verification and validation process

Cross Tidal Kites to Harvest Ocean Energy

Ocean Energy Tamed by Modelon. Modelica based system simulation is the key enabler for product innovation.

Solution Providers:

Meet FMI’s New Companion Standard, SSP

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).

Reviewing Architecture-Based Approaches for Vehicle Modeling

The Modelica language offers first class support for representing system architecture in models. This enables both architecture exploration and the development of product families.

Expert Knowledge Capture & Reuse at American-Axle & NASA

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.

Solution Providers:

Comet Solutions

What is FMI?

FMI stands for Functional Mock-up Interface. It is an open standard for exchanging dynamical simulation models between different tools in a standardized format.

Understanding the FMI Flavors: CS v. ME

The Functional Mockup INterface comes in two flavors: model exchange and co-simulation. This blog explains the differences

Intel: Democratization of Simulation at Work

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.

Solution Providers:

Comet Solutions

Using an Intelligent Template to Analyze a Complex Optical System

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.

Altair’s Open-Architecture Integrated CAE Platform Supports Conceptual and Systems Design

Engineering.com's Shawn Wasserman writes about Conceptual and Systems Design Fuels Open-Architecture Integrated CAE.

Model Based System Engineering (MBSE) for Laser Weapons Systems

The role of intelligent templates to speed the development of laser weapon systems.

Model Based System Engineering (MBSE) for Laser Weapons Systems

The role of intelligent templates to speed the development of laser weapon systems.

Moderators

Open Standards

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.

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