Post-processing of PIV Data

  • Markus Raffel
  • Christian E. Willert
  • Fulvio Scarano
  • Christian J. Kähler
  • Steven T. Wereley
  • Jürgen Kompenhans


While the previous chapter have dealt with recording and evaluation of PIV images, the extracted data require further post-processing in the context of data validation and further data reduction to retrieve fluid mechanical relevant information. This chapter introduces a variety of validation schemes that operate either globally or locally on the data along with methods of data interpolation to fill in data gaps in both space and time. The validated data can then be subjected to differentiation to, for instance, extract gradient information such as vorticity fields. Issues and errors arising through applying differentials to the finitely-spaced data grid are discussed and illustrated. Alternatively, the velocity data can be integrated to retrieve streamlines, body forces or even pressure fields.


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Markus Raffel
    • 1
  • Christian E. Willert
    • 2
  • Fulvio Scarano
    • 3
  • Christian J. Kähler
    • 4
  • Steven T. Wereley
    • 5
  • Jürgen Kompenhans
    • 1
  1. 1. Institut für Aerodynamik und StrömungstechnikDeutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)GöttingenGermany
  2. 2. Institut für AntriebstechnikDeutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)KölnGermany
  3. 3.Department of Aerospace EngineeringDelft University of TechnologyDelftThe Netherlands
  4. 4.Institut für Strömungsmechanik und AerodynamikUniversität der Bundeswehr MünchenNeubibergGermany
  5. 5.Department of Mechanical Engineering, Birck Nanotech CenterPurdue UniversityWest LafayetteUSA

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