Difference between revisions of "Premix regime"

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(Created page with "=== Premixed flame characteristics === If you want to reduce schemes for premix flames, firstly you will run a flame with several the following inputs : listFlames.push_bac...")
 
(Premixed flame characteristics)
 
(2 intermediate revisions by the same user not shown)
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listFlames.push_back(new PremixedFlames( ''fuel temperature'', ''oxider temperature'', ''pressure'', ''ratio'', ''Yf'', ''Xf'', ''Yo'', ''Xo'', ''path of the reference flame'', ''path of the new flame''));
 
  
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<code>
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listFlames.push_back(new PremixedFlames( fuel temperature, oxider temperature, pressure, ratio, Yf, Xf, Yo, Xo, path of the reference flame, path of the new flame));
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</code>
  
In order to converge faster, you have to indicate a reference flame with characteristics closed to the ones you want to run
 
  
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 +
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In order to converge faster, you have to indicate a reference flame with characteristics close to the ones you want to run
  
 
=== Targets ===
 
=== Targets ===
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Then you must indicate the target species you want for optimisation of the reduction
 
Then you must indicate the target species you want for optimisation of the reduction
  
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<code>
 
listTargets.push_back("species1")
 
listTargets.push_back("species1")
 
listTargets.push_back("species2")
 
listTargets.push_back("species2")
 
listTargets.push_back("species3")
 
listTargets.push_back("species3")
...
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</code>
  
 
and so on
 
and so on
  
 
=== QSS Scenarios ===
 
=== QSS Scenarios ===

Latest revision as of 12:16, 13 March 2017

Premixed flame characteristics

If you want to reduce schemes for premix flames, firstly you will run a flame with several the following inputs :


listFlames.push_back(new PremixedFlames( fuel temperature, oxider temperature, pressure, ratio, Yf, Xf, Yo, Xo, path of the reference flame, path of the new flame));



In order to converge faster, you have to indicate a reference flame with characteristics close to the ones you want to run

Targets

Then you must indicate the target species you want for optimisation of the reduction

listTargets.push_back("species1") listTargets.push_back("species2") listTargets.push_back("species3")

and so on

QSS Scenarios