Difference between revisions of "Programming by Ferras, Fernandes and Nobrega"
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| − | * ''' | + | [[category:programming]] |
| + | * '''contributor''': L.L. Ferrás, C. Fernandes, J.M. Nóbrega | ||
* '''affiliation''': Institute for Polymers and Composites (i3N), University of Minho, Portugal | * '''affiliation''': Institute for Polymers and Composites (i3N), University of Minho, Portugal | ||
| − | * '''contact''': mnobrega@dep.uminho.pt | + | * '''contact''': <mail address='mnobrega@dep.uminho.pt' description='author'>click here for email address</mail> |
| − | * '''OpenFOAM version''': | + | * '''OpenFOAM version''': foam-extend 4.0 |
| − | * '''published under''': CC BY-NC license ([https:// creativecommons.org/licenses creative commons licenses]) | + | * '''published under''': CC BY-NC license ([https://creativecommons.org/licenses creative commons licenses]) |
Go back to [https://wiki.openfoam.com/index.php?title=Day_12 Day 12]. | Go back to [https://wiki.openfoam.com/index.php?title=Day_12 Day 12]. | ||
| − | =[ | + | =[http://openfoamwiki.foam.pt/A4-Slides_V2.pdf Programming in OpenFOAM]= |
| − | This [ | + | This [http://openfoamwiki.foam.pt/A4-Slides_V2.pdf pdf] will give you a short walkthrough to the implementation of your own steady.state solver to predict temperature evolution. You will learn about: |
* setting up the solver directory | * setting up the solver directory | ||
| Line 19: | Line 20: | ||
You can download the code and case files here: | You can download the code and case files here: | ||
| − | [ | + | [http://openfoamwiki.foam.pt/A4-files.tar code and case files] |
Latest revision as of 14:19, 28 April 2018
- contributor: L.L. Ferrás, C. Fernandes, J.M. Nóbrega
- affiliation: Institute for Polymers and Composites (i3N), University of Minho, Portugal
- contact: click here for email address
- OpenFOAM version: foam-extend 4.0
- published under: CC BY-NC license (creative commons licenses)
Go back to Day 12.
Programming in OpenFOAM
This pdf will give you a short walkthrough to the implementation of your own steady.state solver to predict temperature evolution. You will learn about:
- setting up the solver directory
- modifying the solver
- compiling the solver
- compiling a small utility for standard deviation
- testing the code with a simple case
You can download the code and case files here:
