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3D Interrogation Algorithms

Discetti, S. and Astarita, Tommaso and Tremblias, B. and Regert, T. and David, Laurent and Novara, Matteo and Scarano, Fulvio and Sciacchitano, Andrea and Michaelis, Dirk and Wieneke, Bernhard and Atkinson, Callum and Buchmann, Nicolas and Soria, Julio and Bilsky, A.V. and Tokarev, M.P. and Lozhkin, V.A. and Markovich, Dmirti M. and Willert, Christian (2012) 3D Interrogation Algorithms. Project Report.

Full text not available from this repository.

Official URL: http://www.afdar.eu/

Abstract

The interrogation of the volumetric distributions of light intensity obtained in output from the tomographic reconstruction is a crucial aspect, both for the computational cost and the accuracy. The 3D interrogation algorithms have to be optimized to handle large amount of data and, simultaneously, to exploit the more complete information on the flow structure to increase the accuracy. The computational cost reduction strategies are discussed in Sec. 2. Three complementary approaches are presented. The first approach is based on optimization of the 3D cross-correlation interrogation using a software-binning based algorithm in the predictor estimation (UNINA, DLR(C) and LAVIS), optimization of the data treatment to reduce redundant calculation in case of overlapping windows (UNINA), and sparse-aided algorithms (UNINA, UNIMO). The second approach consists in the data reduction from 3D to 2D summing neighbouring planes of the reconstructed volumes (DLR(C) and IOT). The third strategy is based on advanced parallelization on GPUs (IOT, LAVIS), or using OpenMP-based software (IOT, DLR(C), UNINA, PPRIME). The Integration of the interrogation algorithms in the “DaVis” commercial software is performed by LAVIS. The strategies to increase the accuracy and reliability of the interrogation algorithms are discussed in Sec. 3. A theoretical study of the modulation transfer function of the cross-correlation algorithm and of the negative effects due to poor discretization of weighting windows in the cross-correlation step (UNINA) is reported. The possibility to calculate the full velocity gradient opens the field to new adaptive PIV strategies based on properly shaped weighting windows (TUD). A great margin of improvement of 3D PIV is provided by time-resolved imaging. This aspect is discussed in Sec. 4. In particular, a solution to increase the measurement accuracy using properly composed correlation maps from multiple exposures is presented (TUD). Furthermore, the tracking of the particles over time can be used to measure the Lagrangian acceleration (TUD). Finally, an alternative approach based on optical flow methods (PPRIME) is provided in Sec. 5.

Item URL in elib:https://elib.dlr.de/82675/
Document Type:Monograph (Project Report)
Additional Information:ADVANCED FLOW DIAGNOSTICS FOR AERONAUTICAL RESEARCH (AFDAR)
Title:3D Interrogation Algorithms
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Discetti, S.Uni. Napoli (I)UNSPECIFIED
Astarita, TommasoUni. Napoli (I)UNSPECIFIED
Tremblias, B.pPrime, Poitiers (F)UNSPECIFIED
Regert, T.pPrime, Poitiers (F)UNSPECIFIED
David, LaurentpPrime, Poitiers (F)UNSPECIFIED
Novara, MatteoTU-Delft (NL)UNSPECIFIED
Scarano, FulvioTU-Delft (NL)UNSPECIFIED
Sciacchitano, AndreaTU-Delft (NL)UNSPECIFIED
Michaelis, DirkLaVision, Göttingen (D)UNSPECIFIED
Wieneke, BernhardLaVision, Göttingen (D)UNSPECIFIED
Atkinson, CallumMonash Uni., Melbourne (AUS)UNSPECIFIED
Buchmann, NicolasMonash Uni., Melbourne (AUS)UNSPECIFIED
Soria, JulioMonash Uni., Melbourne (AUS)UNSPECIFIED
Bilsky, A.V.Institute of Thermal Physics, IOT, Novosibirsk (RUS)UNSPECIFIED
Tokarev, M.P.Institute of Thermal Physics, IOT, Novosibirsk (RUS)UNSPECIFIED
Lozhkin, V.A.Institute of Thermal Physics, IOT, Novosibirsk (RUS)UNSPECIFIED
Markovich, Dmirti M.Institute of Thermal Physics, IOT, Novosibirsk (RUS)UNSPECIFIED
Willert, Christianchris.willert (at) dlr.deUNSPECIFIED
Date:2012
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:43
Series Name:EU-AFDAR Deliverable 2.4
Status:Published
Keywords:EU-FP7, AFDAR, Tomographic PIV, particle image velocimetry, flow measurement
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Propulsion Systems (old)
DLR - Research area:Aeronautics
DLR - Program:L ER - Engine Research
DLR - Research theme (Project):L - Virtual Engine and Validation Methods (old)
Location: Köln-Porz
Institutes and Institutions:Institute of Propulsion Technology > Engine Measurement Systems
Deposited By: Willert, Dr.phil. Christian
Deposited On:26 Aug 2013 13:22
Last Modified:26 Aug 2013 13:22

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