Simulation modeling: Difference between revisions
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'''Simulation modeling''' is the process of creating and analyzing a [[Digital prototyping|digital prototype]] of a physical model to predict its performance in the real world. [[Simulation]] [[Scientific model|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 |
'''Simulation modeling''' is the process of creating and analyzing a [[Digital prototyping|digital prototype]] of a physical model to predict its performance in the real world. [[Simulation]] [[Scientific model|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. |
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It analyses the approximate working conditions by applying the simulation software. |
It analyses the approximate working conditions by applying the simulation software. |
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==Uses of simulation modeling== |
==Uses of simulation modeling== |
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Simulation modeling allows designers and engineers to avoid 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: |
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: |
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* Optimize geometry for weight and strength |
* Optimize geometry for weight and strength |
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* Select materials that meet weight, strength, and budget requirements |
* Select materials that meet weight, strength, and budget requirements |
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* Assess extreme environmental conditions or loads not easily tested on physical prototypes, such as earthquake shock load |
* Assess extreme environmental conditions or loads not easily tested on physical prototypes, such as earthquake shock load |
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* Verify hand calculations |
* Verify hand calculations |
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* Validate the likely safety and survival of a physical prototype before |
* Validate the likely safety and survival of a physical prototype before |
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Example.jpg|Caption1 |
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yolo brother |
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==Typical simulation modeling workflow== |
==Typical simulation modeling workflow== |
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# 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. |
# 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. |
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# Perform finite element analysis, review results, and make engineering judgments based on results. |
# Perform finite element analysis, review results, and make engineering judgments based on results. |
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==Simulation modeling software programs== |
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* [[AnyLogic]] |
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* [[Abaqus]] |
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* [[ANSYS]] |
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* [[Autodesk]] Simulation Mechanical |
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* Autodesk Simulation CFD |
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* Autodesk Inventor Professional |
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* [[AutoForm]] |
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* [[COMSOL]] |
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* [[CONSELF]] CFD on Cloud<ref>{{Cite web|title = CONSELF {{!}} Consulting by Yourself|url = https://conself.com|website = conself.com|accessdate = 2015-12-11}}</ref> |
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* [[FEATool]] Multiphysics<ref>[http://www.featool.com FEATool Multiphysics homepage]</ref> |
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* [[GoldSim]] Pro |
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* Insightmaker<ref>https://insightmaker.com/</ref> |
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* [[LAMMPS]] |
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* [[Matlab]] |
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* [[Nastran]] |
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* [[Nogrid]] points and Nogrid CAD Compass |
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* [[Patran]] |
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* Siemens NX CAE |
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* [[SimScale]] |
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* [[Solidworks]] Simulation |
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* [[Simio]] |
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==See also== |
==See also== |
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* [[Comparison of system dynamics software]] |
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* [[Mathematical and theoretical biology]] |
* [[Mathematical and theoretical biology]] |
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* [[Operations research]] |
* [[Operations research]] |
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* [[ |
* [[Power system simulation]] |
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==References== |
==References== |
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* [http://www.ist.ucf.edu/background.htm University of Central Florida, Institute for Simulation and Training] |
* [http://www.ist.ucf.edu/background.htm University of Central Florida, Institute for Simulation and Training] |
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* Winsberg, Eric (2003), [http://www.cas.usf.edu/~ewinsb/methodology.pdf Simulated Experiments: Methodology for a Virtual World] |
* Winsberg, Eric (2003), [http://www.cas.usf.edu/~ewinsb/methodology.pdf Simulated Experiments: Methodology for a Virtual World] |
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* Roger D. Smith: [https://web.archive.org/web/20101023055307/http://www.modelbenders.com/Bookshop/techpapers.html "Simulation: The Engine Behind the Virtual World"], eMatter, December |
* Roger D. Smith: [https://web.archive.org/web/20101023055307/http://www.modelbenders.com/Bookshop/techpapers.html "Simulation: The Engine Behind the Virtual World"], eMatter, December 1999 |
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* A. Borshchev, A. Filippov: [https://web.ics.purdue.edu/~hwan/IE680/Final%20Presentation/Po-CHing/From%20SD%20and%20DE%20to%20Practical%20Agent%20Based%20Modeling%20Reasons%20Techniques%20Tools%2004.pdf "From System Dynamics and Discrete Event to Practical Agent |
* A. Borshchev, A. Filippov: [https://web.ics.purdue.edu/~hwan/IE680/Final%20Presentation/Po-CHing/From%20SD%20and%20DE%20to%20Practical%20Agent%20Based%20Modeling%20Reasons%20Techniques%20Tools%2004.pdf "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 |
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==External links== |
==External links== |
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* [http://www.sisostds.org Simulation Interoperability Standards Organization] |
* [http://www.sisostds.org Simulation Interoperability Standards Organization] |
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* [http://www.scs.org The Society for Modeling and Simulation International (Formerly the Society of Computer Simulation)] |
* [http://www.scs.org The Society for Modeling and Simulation International (Formerly the Society of Computer Simulation)] |
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* [http://www.simutech.com.au Application of Simulation as Engineering Design] |
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{{interwiki extra|qid=Q45045}} |
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[[Category:Modeling and simulation]] |
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[[Category:Mathematical and quantitative methods (economics)]] |
[[Category:Mathematical and quantitative methods (economics)]] |
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Latest revision as of 23:04, 18 February 2022
 | This article needs additional citations for verification. (January 2016) |
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.
Uses of simulation modeling
[edit]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 workflow
[edit]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.
See also
[edit]- Comparison of system dynamics software
- Mathematical and theoretical biology
- Operations research
- Power system simulation
References
[edit]- The 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, England