Determination of Damping Characteristics of Piston-Hole-Type and Bypass-Pipe-Type Oil Dampers Using Computational Fluid Dynamics

2020 ◽  
Vol 2020 (0) ◽  
pp. 248
Author(s):  
Hidetaka SHIOZAKI ◽  
Itsuro HONDA ◽  
Toshihiko ASAMI
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Damping Characteristics

scholarly journals On the Determination of the Yield Surface within the Flow of Yield Stress Fluids using Computational Fluid Dynamics

2018 ◽  
Vol 11 (4) ◽  
pp. 971-982 ◽  
Author(s):  
N. Schaer ◽  
J. Vazquez ◽  
M. Dufresne ◽  
G. Isenmann ◽  
J. Wertel ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Yield Stress ◽  
Yield Surface ◽  
Yield Stress Fluids

scholarly journals Experimental Determination of the Parameters for Modelling Semi-Solid Processing

2006 ◽  
Vol 116-117 ◽  
pp. 16-23
Author(s):  
H.V. Atkinson
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Modeling ◽  
Steady State ◽  
Processing Route ◽  
Flow Parameters ◽  
Properties Of Materials ◽  
Semi Solid ◽  
Rapid Transients

The numerical modeling of semi-solid processing requires data on the rheological properties of materials. This data is often obtained by rheometry but there are difficulties with characterizing high solid fractions, where the torque which can be exerted with the rheometer is insufficient. A number of other methods for measuring the flow parameters, including compression between platens, have been utilized. The various methods will be reviewed in this paper. Computational fluid dynamics modelers have often used data from steady state experiments but it is the behaviour during rapid transients which is more relevant to the actual semi-solid processing route.

scholarly journals Fractional Flow Reserve Derived from Coronary Imaging and Computational Fluid Dynamics

2014 ◽  
Vol 9 (3) ◽  
pp. 145 ◽  
Author(s):  
Ioannis Pantos ◽  
Demosthenes Katritsis ◽  
◽  
Keyword(s):  
Fluid Dynamics ◽  
Coronary Artery Disease ◽  
Computational Fluid Dynamics ◽  
Coronary Artery ◽  
Fractional Flow Reserve ◽  
Fractional Flow ◽  
Artery Cannulation ◽  
Flow Reserve ◽  
Artery Disease

The assessment of functional severity of atherosclerotic stenoses in patients with coronary artery disease by invasive fractional flow reserve (FFR) measurement requires coronary artery cannulation, advancement of a wire and intravenous adenosine infusion with inherent procedure-related risk and costs. Coronary computed tomographic angiography (CCTA) and rotational coronary angiography (RA) have been recently used in conjunction with computational fluid dynamics (CFD) and image-based modelling for the determination of FFR without the need for additional imaging, modification of acquisition protocols or administration of medication. FFR derived from CCTA was demonstrated as superior to measures of CCTA stenosis severity for determination of lesion-specific ischaemia. Estimation of FFR from RA images and CFD provides a less invasive alternative to conventional FFR measurement while estimated values are in agreement with measured values. These new, combined anatomic–functional assessments have the potential to simplify the noninvasive diagnosis of coronary artery disease with a single study to identify patients with ischaemia-causing stenosis who may benefit from revascularisation.

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