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SCILAB WORKSHOP

Workflow automation

SCILAB TEAM

17th, October 2019

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Agenda

1. OpenFOAM case set-up with SCILABRead/Write text files

2. OpenFOAM simulation automation with SCILABRun utilities from SCILAB console

3. OpenFOAM results post-processing with SCILAB

4. Advanced post-processingOptimization example

5. Graphical User Interface (GUI) design for simulation application

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OpenFOAM case set-upRead/Write text files

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1. REMINDER: OpenFOAM case structure

System directory

Simulation parameters

Constant directory

Mesh and flow properties

Time directories

Initial conditions and results

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• Simple ‘ or double quote ’’

>> ‘Make simulation rocks!’

• Concatenate with +

>> ‘SCILAB’ + ‘ & ‘ + ‘OpenFOAM’

• Locate substring

strstr, find

• Handle part of strings

strsplit, strsubst

• String conversion into double

evstr

• Handle text file

mopen, mgetl, mfprintf, mclose, write

2. Basics for string manipulation in SCILAB

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3. Example: Speed and angle of attack change

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PARSEC parametrization

4. Example: Mesh change

Screening experiment

rle, xup, zte, bte

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4. Example: Mesh change

Header

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4. Example: Mesh change

Content

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4. Example: Mesh change

Generated file & mesh

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Simulation automationRun OpenFOAM utilities from SCILAB

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1. REMINDER: OpenFOAM utilities

Access utilities fromcommand line

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Windows, Linux or MacOScommand execution

unix_g, unix_s, unix_w, unix_x

2. Basics for utilities manipulation in SCILAB

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1. Clean case

2. Generate new mesh

3. Run simulation

3. Example: Generate cases for each run of DoE

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Results post-processingField and time serie analysis

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1. REMINDER: OpenFOAM results

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csvRead

• Range definition

• Automatic conversioninto doubles

• Header remove

evstr

String conversion intodouble matrix

2. Basics for results manipulation in SCILAB

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Advanced post-processingAirfoil shape optimization

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Airfoil shape optimization

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1. Optimization workflow

Parametrization

& Case setupSimulation Post Process Cost Function

Cost functions

• Maximize lift ~ min 10 − 𝐶𝐿• Minimize drag (CD) ~ min𝐶𝐷

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2. Optimization cost function

1/ Clean case

2/ Generate new mesh

3/ Run case

4/ Extract results

5/ Build cost function

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3. Optimization set-up

Genetic Algorithm – Multi-Objective optimization – 20 iterations

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4. Design space exploration – Toward optimum

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GUI designSimulation application

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Figure properties

Uicontrol main properties:

• Style

• Position

• Value

• Enable

• String

• Tag

• Callback

1. SCILAB function for GUI design – uicontrol()

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2. Locate case - GUI

Locate Case

Components

• 1 figure

• 1 menu

• 1 callback

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3. Locate case - Code

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4. Simulation & Optimization set-up - GUI

Simulation set-up

• Change Speed

• Change AoA

Optimization set-up

• Change max number of iteration

• Run optimization

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5. Simulation set-up code

Graphical component

Callback