The past decades have been characterized by considerable advancements of laser/optics technology, imaging
capabilities along with rapidly growing computing resources that in combination constituted the enabling technologies leading to the emergence
of a wide variety of nowadays readily available image-based measurement techniques. Among these, particle image velocimetry (PIV) has made
substantial impact on experimental fluid mechanics and associated fluid engineering fields, in part already through its capability of making
complex fluid flows "visible" and quantifiable. Although fully capable of providing temporally and volume resolved velocity data, the use of
PIV continues to play a secondary role in applied industrial research and is often side-lined with respect to conventional "established"
point-wise measurement techniques. In many PIV applications, the acquired PIV data is mainly used for the "validation" of numerical methods,
leaving the full potential provided by the spatio-temporal resolved PIV data untapped.
The presentation will introduce several examples of utilization of advanced image-based measurement techniques such as PIV in industrial R&D settings, mainly from the turbomachinery sector involving investigations of transonic compressor aerodynamics and measurements within combustion chambers operating at flight-relevant conditions. A prerequisite for making any optical measurements in these rough operating environments possible has been the direct involvement of the measurement specialists at the early stages of the rig design, for instance, to integrate optical accessibility to the areas of interest. Yet, oftentimes issues such as beam steering, light absorption, contamination or strong vibrations degrade the signal to unacceptable levels, requiring creative solution strategies. To improve the overall understanding of the underlying aero- and thermodynamics of the investigated component, the combination of measurement techniques has proven to be very valuable. Beyond this, more advanced, 3-D and high-speed imaging approaches still hold significant potential, as will be highlighted with a few examples from recent experiments, but must be balanced against an increased instrumentation and processing effort.