scholarly journals Computational Modeling of Vehicle Radiators Using Porous Medium Approach

10.5772/66281 ◽  
2017 ◽  
Author(s):  
Barbaros Çetin ◽  
Kadir G. Güler ◽  
Mehmet Haluk Aksel
Keyword(s):  
Porous Medium ◽  
Computational Modeling

Computational modeling of porous medium inside a channel with homogeneous nanofluid

2019 ◽  
Vol 140 (2) ◽  
pp. 843-858 ◽  
Author(s):  
Ali Bagheri Nohooji ◽  
Davood Toghraie ◽  
Farzad Pourfattah ◽  
Omid Ali Akbari ◽  
Ramin Mashayekhi
Keyword(s):  
Porous Medium ◽  
Computational Modeling

scholarly journals Computational fluid dynamics of cerebral aneurysm coiling using high-resolution and high-energy synchrotron X-ray microtomography: comparison with the homogeneous porous medium approach

2016 ◽  
Vol 9 (8) ◽  
pp. 00.1-00 ◽  
Author(s):  
Michael R Levitt ◽  
Michael C Barbour ◽  
Sabine Rolland du Roscoat ◽  
Christian Geindreau ◽  
Venkat K Chivukula ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Porous Medium ◽  
High Resolution ◽  
Computational Modeling ◽  
Intracranial Aneurysms ◽  
High Resolution Imaging ◽  
X Ray ◽  
Hemodynamic Variables ◽  
Homogeneous Porous Medium ◽  
Resolution Imaging

BackgroundComputational modeling of intracranial aneurysms provides insights into the influence of hemodynamics on aneurysm growth, rupture, and treatment outcome. Standard modeling of coiled aneurysms simplifies the complex geometry of the coil mass into a homogeneous porous medium that fills the aneurysmal sac. We compare hemodynamics of coiled aneurysms modeled from high-resolution imaging with those from the same aneurysms modeled following the standard technique, in an effort to characterize sources of error from the simplified model.MaterialsPhysical models of two unruptured aneurysms were created using three-dimensional printing. The models were treated with coil embolization using the same coils as those used in actual patient treatment and then scanned by synchrotron X-ray microtomography to obtain high-resolution imaging of the coil mass. Computational modeling of each aneurysm was performed using patient-specific boundary conditions. The coils were modeled using the simplified porous medium or by incorporating the X-ray imaged coil surface, and the differences in hemodynamic variables were assessed.ResultsX-ray microtomographic imaging of coils and incorporation into computational models were successful for both aneurysms. Porous medium calculations of coiled aneurysm hemodynamics overestimated intra-aneurysmal flow, underestimated oscillatory shear index and viscous dissipation, and over- or underpredicted wall shear stress (WSS) and WSS gradient compared with X-ray-based coiled computational fluid dynamics models.ConclusionsComputational modeling of coiled intracranial aneurysms using the porous medium approach may inaccurately estimate key hemodynamic variables compared with models incorporating high-resolution synchrotron X-ray microtomographic imaging of complex aneurysm coil geometry.

Computational modeling of heat transfer over an unsteady stretching surface embedded in a porous medium

Meccanica ◽  
2009 ◽  
Vol 45 (3) ◽  
pp. 415-424 ◽  
Author(s):  
Dulal Pal ◽  
P. S. Hiremath
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Computational Modeling ◽  
Stretching Surface ◽  
Unsteady Stretching Surface

Computational modeling of moving interfaces between fluid and porous medium domains

2012 ◽  
Vol 17 (1) ◽  
pp. 151-166 ◽  
Author(s):  
Chongbin Zhao ◽  
Thomas Poulet ◽  
Klaus Regenauer-Lieb ◽  
B. E. Hobbs
Keyword(s):  
Porous Medium ◽  
Computational Modeling ◽  
Moving Interfaces

Computational modeling of biomagnetic micropolar blood flow and heat transfer in a two-dimensional non-Darcian porous medium

Meccanica ◽  
2007 ◽  
Vol 43 (4) ◽  
pp. 391-410 ◽  
Author(s):  
O. Anwar Bég ◽  
R. Bhargava ◽  
S. Rawat ◽  
Kalim Halim ◽  
H. S. Takhar
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Blood Flow ◽  
Computational Modeling ◽  
Two Dimensional ◽  
Flow And Heat Transfer

scholarly journals Computational modeling of heat transfer in an annular porous medium solar energy absorber with the P1-radiative differential approximation

2016 ◽  
Vol 66 ◽  
pp. 258-268 ◽  
Author(s):  
O. Anwar Bég ◽  
Nasir Ali ◽  
Akbar Zaman ◽  
Eemaan T.A. Bég ◽  
Ayesha Sohail
Keyword(s):  
Heat Transfer ◽  
Porous Medium ◽  
Solar Energy ◽  
Computational Modeling ◽  
Differential Approximation ◽  
Energy Absorber

Computational modeling of non-linear diffusion in cardiac electrophysiology: A novel porous-medium approach

2016 ◽  
Vol 300 ◽  
pp. 70-83 ◽  
Author(s):  
Daniel E. Hurtado ◽  
Sebastián Castro ◽  
Alessio Gizzi
Keyword(s):  
Porous Medium ◽  
Computational Modeling ◽  
Cardiac Electrophysiology ◽  
Linear Diffusion ◽  
Non Linear

Computational Modeling of Cognition and Behavior

2018 ◽  
Author(s):  
Simon Farrell ◽  
Stephan Lewandowsky
Keyword(s):  
Computational Modeling ◽  
And Behavior

Computational modeling of multimodal I/O in simulated cockpits

2001 ◽  
Author(s):  
David E. Kieras ◽  
Keyword(s):  
Computational Modeling
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