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Dive into the research topics where Matteo Novara is active.

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Featured researches published by Matteo Novara.


Measurement Science and Technology | 2013

Non-uniform optical transfer functions in particle imaging: calibration and application to tomographic reconstruction

Daniel Schanz; Sebastian Gesemann; Andreas Schröder; Bernhard Wieneke; Matteo Novara

A new approach to the weighting function, which describes particle imaging in tomographic reconstruction, is introduced. Instead of assuming a spatially homogeneous mapping function of voxels to the images, a variable optical transfer function (OTF) is applied. By this method, the negative effects of optical distortions on the reconstruction can be reduced considerably. The effects of these improvements in reconstruction quality on the methods of tomographic particle imaging velocimetry, as well as 3D particle tracking are investigated. A method to calibrate the OTF to experimental circumstances is proposed as an additional step to the volume self-calibration. It is shown that this kind of calibration is able to capture the predominant particle imaging both for simulated as well as experimental data. The most common distortions of particle imaging are blurring due to a small depth of field and astigmatism due to imaging optics. The effects of both of these distortions on reconstruction and correlation quality are investigated via simulated data. In both cases, a strong influence on relevant parameters can be seen. Reconstructions using a spatially varying OTF, calibrated to the imaging conditions, show a significant improvement in reconstruction quality and the accuracy of the particle peak position, as well as in the accuracy of the gained displacement vector field when using two time steps. Evaluation of experimental data by PTV methods shows a reduction in ghost particle intensity and improvements in peak position accuracy. A computationally efficient method of applying the OTF to tomographic reconstruction is introduced.


Measurement Science and Technology | 2013

Adaptive interrogation for 3D-PIV

Matteo Novara; Andrea Ianiro; Fulvio Scarano

A method to adapt the shape and orientation of interrogation volumes for 3D-PIV motion analysis is introduced, aimed to increase the local spatial resolution. The main application of this approach is the detailed analysis of complex 3D and vortex-dominated flows that exhibit high vorticity in confined regions like shear layers and vortex filaments. The adaptive criterion is based on the analysis of the components of the local velocity gradient tensor, which returns the level of anisotropy of velocity spatial fluctuations. The principle to increase the local spatial resolution is based on the deformation of spherical isotropic interrogation regions, obtained by means of Gaussian weighting, into ellipsoids, with free choice of the principal axes and their directions. The interrogation region is contracted in the direction of the maximum velocity variation and elongated in the minimum one in order to maintain a constant interrogation volume. The adaptivity technique for three-dimensional PIV data takes advantage of the 3D topology of the flow, allowing increasing the spatial resolution not only in the case of shear layers, but also for vortex filaments, which is not possible for two-dimensional measurement in the plane normal to the vortex axis. The definition of the ellipsoidal interrogation region semi-axes is based on the singular values and singular directions of the local velocity gradient tensor as obtained by the singular values decomposition technique (SVD). The working principle is verified making use of numerical simulations of a shear layer and of a vortex filament. The application of the technique to data from a Tomo-PIV experiment conducted on a round jet, shows that the resolution of the shear layer at the jet exit can be considerably improved and an increase of about 25% in the vorticity peak is attained when the adaptive approach is applied. On the other hand, the peak vorticity description in the core of vortex rings is only slightly improved with approximately a 5% increase in the peak value. Results are in good agreement with the values obtained by means of the numerical simulations. From experiments conducted on a turbulent boundary layer it is observed that the strong curvature of the mean profile is better captured with adapted ellipsoidal interrogation and the amplitude of the spurious oscillation in the vorticity profile observed in the proximity of the wall (ringing) is reduced by nearly a factor 2 after the adaptive interrogation is applied.


31st AIAA Aerodynamic Measurement Technology and Ground Testing Conference | 2015

Multi-stereo PIV measurement of propeller wake flow in industrial facility

Matteo Novara; Reinhard Geisler; Andreas Schroeder

The flow in the wake of an 11-bladed propeller is investigated by means of phase-locked multi-stereo Particle Image Velocimetry. The use of multiple stereo-PIV systems and the multi-pulse acquisition strategy allow for the reduction of the measurement error and for the enhancement of the velocity dynamic range. The application of the measurement technique in the Airbus Low Speed Wind Tunnel industrial facility (LSWT, Bremen, Germany) poses challenges mainly due to the vibrations of the imaging system and acquisition phase jitter, ultimately affecting the spatial resolution of the measurement. A correction scheme based on the analysis of velocity fields from different stereo-PIV systems is used to largely compensate these effects, providing velocity fields suitable to be used for validation of computational aeroacoustics codes. Results show that a lower measurement error can be achieved when velocity fields from several stereo-PIV systems are combined. Furthermore, the correction scheme appears to reduce the signal modulation introduced by vibrations in the wake region.


Measurement Science and Technology | 2010

Motion tracking-enhanced MART for tomographic PIV

Matteo Novara; Kees Joost Batenburg; Fulvio Scarano


Experiments in Fluids | 2011

On the velocity of ghost particles and the bias errors in Tomographic-PIV

Gerrit E. Elsinga; Jerry Westerweel; Fulvio Scarano; Matteo Novara


Experiments in Fluids | 2013

A particle-tracking approach for accurate material derivative measurements with tomographic PIV

Matteo Novara; Fulvio Scarano


Experiments in Fluids | 2012

Performances of motion tracking enhanced Tomo-PIV on turbulent shear flows

Matteo Novara; Fulvio Scarano


Experiments in Fluids | 2016

Lagrangian 3D particle tracking in high Speed flows: Shake-The-Box for multi-pulse systems

Matteo Novara; Daniel Schanz; Nico Reuther; Christian J. Kähler; Andreas Schröder


Archive | 2016

Lagrangian 3D particle tracking for multi-pulse systems: performance assessment and application of Shake-The-Box

Matteo Novara; Daniel Schanz; Sebastian Gesemann; Kyle Lynch; Andreas Schröder


International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 2016 | 2016

Coherent large scale structures in adverse pressure gradient turbulent boundary layers

Rainer Hain; Sven Scharnowski; Nico Reuther; Christian J. Kähler; Andreas Schröder; Reinhard Geisler; Janos Agocs; Anni Röse; Matteo Novara; Michel Stanislas; Christophe Cuvier; Jean-Marc Foucaut; Sricharan Srinath; Jean-Philippe Laval; Chris Willert; Joachim Klinner; Julio Soria; Omid Amili; Callum Atkinson

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Florian Huhn

German Aerospace Center

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Fulvio Scarano

Delft University of Technology

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Janos Agocs

German Aerospace Center

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Nico Reuther

Bundeswehr University Munich

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