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SUMMARY:Dimension Reduction and Aero-Engine Fan Design - Pranay Seshadri\,
  Cambridge EDC
DTSTART:20161019T100000Z
DTEND:20161019T110000Z
UID:TALK68592@talks.cam.ac.uk
CONTACT:Mari Huhtala
DESCRIPTION:It is the objective of every fan aerodynamicist to design blad
 es that perform favorably under manufacturing variations. This is a challe
 nging task\, and for the fan it is particularly important as any offsets i
 n its performance have a significant impact on the overall engine specific
  fuel consumption. While the use of multi-objective optimizers and robust 
 design methodologies are no doubt of importance\, they often fail to offer
  pedigree rules that can be applied to retro-fit existing fan blades or ai
 d in the design of new fan blades. This motivates the present work. Our ap
 proach in this paper is to leverage active subspaces: an emerging set of i
 deas for dimension reduction in parametric computational studies. A key co
 mponent of active subspaces lies in determining which linear combination o
 f select inputs drive the model output. It is from this reduced subspace t
 hat we seek to develop pedigree rules for design.\n
LOCATION:Sir Arhur Marshall Room\, Engineering Design Centre\, CUED
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