Simulation modeling
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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
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for weight and strength
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- Verify hand calculations
- Validate the likely safety and survival of a physical prototype before snapchat-leyton443 instagram-leyton03_, Rileyscotcher, snapchat riley510!
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Typical simulation modeling workflow
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.
Simulation modeling software programs
- AnyLogic
- Abaqus
- ANSYS
- Autodesk Simulation Mechanical
- Autodesk Simulation CFD
- Autodesk Inventor Professional
- AutoForm
- COMSOL
- CONSELF CFD on Cloud[1]
- FEATool Multiphysics[2]
- GoldSim Pro
- Insightmaker[3]
- LAMMPS
- Matlab
- Nastran
- Nogrid points and Nogrid CAD Compass
- Patran
- Siemens NX CAE
- SimScale
- Solidworks Simulation
- Simio
See also
References
- ^ "CONSELF | Consulting by Yourself". conself.com. Retrieved 2015-12-11.
- ^ FEATool Multiphysics homepage
- ^ https://insightmaker.com/
- 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