Tomographic PIV: principles and practice

By Fulvio Scarano. 2012

836 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/e47ce266adeb30741f96662379410b976779b743

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In Aerospace Engineering

In Computational Mechanics

Citations in the corpus

Higher order multi-frame particle tracking velocimetry (2013, methodology): “Lately, Lynch and Scarano (2013) presented an approach to replace and deform the correlation windows according to the estimation of the trajectory of a fluid parcel.”
Estimation of the dissipation rate of turbulent kinetic energy: A review (2021, methodology): “Working principle of tomographic PIV (Scarano, 2012).”
Volumetric particle image velocimetry with a single plenoptic camera (2015, methodology): “A more advanced version of this basic concept uses a multi-pass, multi-grid window deformation technique known as VODIM (Scarano and Poelma [15]).”
On the use of helium-filled soap bubbles for large-scale tomographic PIV in wind tunnel experiments (2015, methodology): “Although, large-scale tomographic particle image velocimetry has been used for the evaluation of the flow structures of turbulent convective air flow in an rectangular convection cell (Kühn, 2011), to the authors knowledge, this is the first experiment realized in a wind tunnel with time-resolved to”
Shake-The-Box: Lagrangian particle tracking at high particle image densities (2016, methodology): “The same set-up was used for a number of different analysis, both on the flow phenomena (e.g. Violato et al. 2011, 2012) and on the characterization of methods and tools for 3D measurements (e.g. Novara et al. 2010; Lynch and Scarano 2013).”
Vermiculate artefacts in image analysis of granular materials (2016, background): “Meanwhile developments in experimental mechanics and fluid mechanics continue (Pan et al., 2013; Scarano, 2013).”
Iterative reconstruction of volumetric particle distribution (2013, methodology): “MART and IPR have been compared in more details in several ways as outlined, e.g., in Scarano (2013).”
PIV-based pressure measurement (2013, methodology): “…in PIV hardware (fast CMOS cameras and powerful diodepumped lasers), improved image processing algorithms, novel PIV procedures (such as tomographic PIV, Elsinga et al. 2006, Scarano 2013), and the supporting computer infrastructure allowing for fast data acquisition, storage and processing.”
Machine learning strategies for systems with invariance properties (2016, neutral): “Furthermore, advances in experimental techniques, such as digital volume correlation [5,6], tomographic particle image velocimetry [7], and magnetic resonance velocimetry [8], are yielding experimental data sets of unprecedented size and detail.”
Dense velocity reconstruction from tomographic PTV with material derivatives (2016, methodology): “, & Scarano, F. (2016). Dense velocity reconstruction from tomographic PTV with material derivatives.”