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WHAT IS THIS?flankers wid rectangular nozzels

indian_foxhound

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Russians are testing rectangular nozzels on flankers

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@Abingdonboy @sancho
 
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As you said, a Flanker that is testing rectangular nozzels, nothing new actually and part of the Russian technology programs.
 
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whatz the use?? wil increase the thrust or supres ir?
and that too on flanker?

The Flanker is just the test plattform, just like Pak Fa systems are currently beeing tested on Su 35 and Su 47s, but it's just a 2D nozzle, unlike the 2.5 or 3D nozzles the Russians prefered in the past, but yes lower signatures are the benefits and this might lead to a final nozzle config for Pak Fa / FGFA.
 
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The Flanker is just the test plattform, just like Pak Fa systems are currently beeing tested on Su 35 and Su 47s, but it's just a 2D nozzle, unlike the 2.5 or 3D nozzles the Russians prefered in the past, but yes lower signatures are the benefits and this might lead to a final nozzle config for Pak Fa / FGFA.

even raptor got this kinda nozzle 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
so that's a good news pak ka/fgfa
 
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