Simulation modeling is the process of creating and analyzing a digital prototype of a physical model to predict its performance in the real world. Simulationmodeling is used to help designers and engineers understand whether, under what conditions, and in which ways a part could fail and what loads it can withstand. Simulation modeling can also help to predict fluid flow and heat transfer patterns. It analyses the approximate working conditions by applying the simulation software.
Simulation modeling allows designers and engineers to avoid the repeated building of multiple physical prototypes to analyze designs for new or existing parts. Before creating the physical prototype, users can investigate many digital prototypes. Using the technique, they can:
Optimize geometry for weight and strength
Select materials that meet weight, strength, and budget requirements
Simulate part failure and identify the loading conditions that cause them
Assess extreme environmental conditions or loads not easily tested on physical prototypes, such as earthquake shock load
Verify hand calculations
Validate the likely safety and survival of a physical prototype before
Typical simulation modeling workflowedit
Simulation modeling follows a process much like this:
Use a 2D or 3D CAD tool to develop a virtual model, also known as a digital prototype, to represent a design.
Generate a 2D or 3D mesh for analysis calculations. Automatic algorithms can create finite element meshes, or users can create structured meshes to maintain control over element quality.
Define finite element analysis data (loads, constraints, or materials) based on analysis type (thermal, structural, or fluid). Apply boundary conditions to the model to represent how the part will be restrained during use.
Perform finite element analysis, review results, and make engineering judgments based on results.
University of Central Florida, Institute for Simulation and Training
Winsberg, Eric (2003), Simulated Experiments: Methodology for a Virtual World
Roger D. Smith: , eMatter, December 1999
A. Borshchev, A. Filippov: "From System Dynamics and Discrete Event to Practical Agent-Based Modeling: Reasons, Techniques, Tools", The 22nd International Conference of the System Dynamics Society, July 2004, Oxford, England
External linksedit
Institute for Simulation and Training, University of Central Florida
The Society for Modeling and Simulation International (Formerly the Society of Computer Simulation)
January 01, 1970
simulation, modeling, this, article, needs, additional, citations, verification, please, help, improve, this, article, adding, citations, reliable, sources, unsourced, material, challenged, removed, find, sources, news, newspapers, books, scholar, jstor, janua. This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Simulation modeling news newspapers books scholar JSTOR January 2016 Learn how and when to remove this message Simulation modeling is the process of creating and analyzing a digital prototype of a physical model to predict its performance in the real world Simulation modeling is used to help designers and engineers understand whether under what conditions and in which ways a part could fail and what loads it can withstand Simulation modeling can also help to predict fluid flow and heat transfer patterns It analyses the approximate working conditions by applying the simulation software Contents 1 Uses of simulation modeling 2 Typical simulation modeling workflow 3 See also 4 References 5 External linksUses of simulation modeling editSimulation modeling allows designers and engineers to avoid the repeated building of multiple physical prototypes to analyze designs for new or existing parts Before creating the physical prototype users can investigate many digital prototypes Using the technique they can Optimize geometry for weight and strength Select materials that meet weight strength and budget requirements Simulate part failure and identify the loading conditions that cause them Assess extreme environmental conditions or loads not easily tested on physical prototypes such as earthquake shock load Verify hand calculations Validate the likely safety and survival of a physical prototype beforeTypical simulation modeling workflow editSimulation modeling follows a process much like this Use a 2D or 3D CAD tool to develop a virtual model also known as a digital prototype to represent a design Generate a 2D or 3D mesh for analysis calculations Automatic algorithms can create finite element meshes or users can create structured meshes to maintain control over element quality Define finite element analysis data loads constraints or materials based on analysis type thermal structural or fluid Apply boundary conditions to the model to represent how the part will be restrained during use Perform finite element analysis review results and make engineering judgments based on results See also editComparison of system dynamics software Mathematical and theoretical biology Operations research Power system simulationReferences editThe CBS Interactive Business Network University of Central Florida Institute for Simulation and Training Winsberg Eric 2003 Simulated Experiments Methodology for a Virtual World Roger D Smith Simulation The Engine Behind the Virtual World eMatter December 1999 A Borshchev A Filippov From System Dynamics and Discrete Event to Practical Agent Based Modeling Reasons Techniques Tools The 22nd International Conference of the System Dynamics Society July 2004 Oxford EnglandExternal links editInstitute for Simulation and Training University of Central Florida National Center for Simulation Simulation Interoperability Standards Organization The Society for Modeling and Simulation International Formerly the Society of Computer Simulation Retrieved from https en wikipedia org w index php title Simulation modeling amp oldid 1072676685, wikipedia, wiki, book, books, library,
