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UID:DSC-12361
DTSTART;TZID=Europe/Berlin:20170119T111000
SEQUENCE:1483988169
TRANSP:OPAQUE
DTEND;TZID=Europe/Berlin:20170119T124000
URL:https://dresden-science-calendar.de/calendar/de/detail/12361
LOCATION:TUD Zeuner-Bau\, George-Bähr-Str. 3c01069 Dresden
SUMMARY:Spencer: Applications of POD and LSE for PIV: Developing useful ana
 lysis tools for planar velocity measurement data
CLASS:PUBLIC
DESCRIPTION:Speaker: Dr. Adrian Spencer\nInstitute of Speaker: Aeronautical
  and Automotive Engineering University of Loughborough\nTopics:\nMaschinen
 wesen\n Location:\n  Name: TUD Zeuner-Bau (329)\n  Street: George-Bähr-St
 r. 3c\n  City: 01069 Dresden\n  Phone: \n  Fax: \nDescription: Particle Im
 age Velocimetry (PIV) provides detailed information of fluid velocity fiel
 ds on an illuminated plane within the field of interest captured by a digi
 tal camera. This measurement technique is now widely used and trusted to p
 rovide good spatial and temporal resolution. This presentation will highli
 ght through several examples the application of Proper Orthogonal Decompos
 ition (POD) and Linear Stochastic Estimation (LSE) to help understand and 
 make better use of PIV data in complex confined turbulent flows.  Analysis
  techniques will be introduced through an example based on a study: using 
 PIV for generating Large Eddy Simulation (LES) boundary conditions for a G
 as Turbine combustor. This is specifically for when the inlet planes canno
 t be synchronously measured using a single PIV field of view. Two examples
  will then be given to demonstrate how POD may be used to separate coheren
 t fluid motions from stochastic behaviour using different techniques that 
 have increased understanding of Helmholtz resonators and cycle-to-cycle va
 riations in internal combustion engines respectively.  Finally\, insight w
 ill be given of how to combine the LSE and POD techniques to construct vol
 umetric information from planar PIV realisations downstream of an air-swir
 l nozzle. By using an LES prediction to extract synthetic PIV data the rec
 onstruction technique can be validated against full volumetric data in the
  solution domain. This test is also then also repeated with tomographic PI
 V on the same configuration.  <br /><br />  Contact:  0351/463–34736\, s
 ekretariat-psm@mailbox.tu-dresden.de
DTSTAMP:20260525T025737Z
CREATED:20170109T185609Z
LAST-MODIFIED:20170109T185609Z
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