scholarly journals Mode decomposition and Lagrangian structures of the flow dynamics in orbitally shaken bioreactors

2018 ◽  
Vol 30 (3) ◽  
pp. 033603 ◽  
Author(s):  
Weheliye Hashi Weheliye ◽  
Neil Cagney ◽  
Gregorio Rodriguez ◽  
Martina Micheletti ◽  
Andrea Ducci
Keyword(s):  
Flow Dynamics ◽  
Mode Decomposition ◽  
Shaken Bioreactors

scholarly journals Microcarriers’ suspension and flow dynamics in orbitally shaken bioreactors

2016 ◽  
Vol 108 ◽  
pp. 198-209 ◽  
Author(s):  
I. Pieralisi ◽  
G. Rodriguez ◽  
M. Micheletti ◽  
A. Paglianti ◽  
A. Ducci
Keyword(s):  
Flow Dynamics ◽  
Shaken Bioreactors

scholarly journals Tomographic Particle Image Velocimetry and Dynamic Mode Decomposition (DMD) in a Rectangular Impinging Jet: Vortex Dynamics and Acoustic Generation

Fluids ◽  
2021 ◽  
Vol 6 (12) ◽  
pp. 429
Author(s):  
Hassan H. Assoum ◽  
Jana Hamdi ◽  
Marwan Alkheir ◽  
Kamel Abed Meraim ◽  
Anas Sakout ◽  
...  
Keyword(s):  
Particle Image Velocimetry ◽  
Acoustic Field ◽  
Coherent Structures ◽  
Particle Image ◽  
Flow Dynamics ◽  
Dynamic Mode Decomposition ◽  
Dynamic Mode ◽  
Tomographic Particle Image Velocimetry ◽  
Mode Decomposition ◽  
Image Velocimetry

Impinging jets are encountered in ventilation systems and many other industrial applications. Their flows are three-dimensional, time-dependent, and turbulent. These jets can generate a high level of noise and often present a source of discomfort in closed areas. In order to reduce and control such mechanisms, one should investigate the flow dynamics that generate the acoustic field. The purpose of this study is to investigate the flow dynamics and, more specifically, the coherent structures involved in the acoustic generation of these jets. Model reduction techniques are commonly used to study the underlying mechanisms by decomposing the flow into coherent structures. The dynamic mode decomposition (DMD) is an equation-free method that relies only on the system’s data taken either through experiments or through numerical simulations. In this paper, the DMD technique is applied, and the spatial modes and their frequencies are presented. The temporal content of the DMD’s modes is then correlated with the acoustic signal. The flow is generated by a rectangular jet impinging on a slotted plate (for a Reynolds number Re = 4458) and its kinematic field is obtained via the tomographic particle image velocimetry technique (TPIV). The findings of this research highlight the coherent structures signature in the DMD’s spectral content and show the cross correlations between the DMD’s modes and the acoustic field.

The role of the sinuses of valsalva in aortic root flow dynamics and aortic root surgery

2007 ◽  
Vol 55 (S 1) ◽  
Author(s):  
F Schoenhoff ◽  
C Loupatatzis ◽  
FS Eckstein ◽  
C Stoupis ◽  
FF Immer ◽  
...  
Keyword(s):  
Aortic Root ◽  
Flow Dynamics ◽  
Aortic Root Surgery

Experimental Measurement of In-Plane Rolling Nonpneumatic Tire Vibrations Using High-Speed Imaging

2019 ◽  
Vol 47 (3) ◽  
pp. 196-210
Author(s):  
Meghashyam Panyam ◽  
Beshah Ayalew ◽  
Timothy Rhyne ◽  
Steve Cron ◽  
John Adcox
Keyword(s):  
High Speed ◽  
Image Correlation ◽  
Dynamic Mode Decomposition ◽  
Dynamic Mode ◽  
High Speed Imaging ◽  
Correlation Algorithm ◽  
Mode Decomposition ◽  
Series Of Experiments ◽  
Plane Deformations ◽  
Dominant Frequencies

ABSTRACT This article presents a novel experimental technique for measuring in-plane deformations and vibration modes of a rotating nonpneumatic tire subjected to obstacle impacts. The tire was mounted on a modified quarter-car test rig, which was built around one of the drums of a 500-horse power chassis dynamometer at Clemson University's International Center for Automotive Research. A series of experiments were conducted using a high-speed camera to capture the event of the rotating tire coming into contact with a cleat attached to the surface of the drum. The resulting video was processed using a two-dimensional digital image correlation algorithm to obtain in-plane radial and tangential deformation fields of the tire. The dynamic mode decomposition algorithm was implemented on the deformation fields to extract the dominant frequencies that were excited in the tire upon contact with the cleat. It was observed that the deformations and the modal frequencies estimated using this method were within a reasonable range of expected values. In general, the results indicate that the method used in this study can be a useful tool in measuring in-plane deformations of rolling tires without the need for additional sensors and wiring.

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