The Transverse Permeability’s Simulation of Fiber Tow by FLOTRAN

2014 ◽  
Vol 1004-1005 ◽  
pp. 1336-1339
Author(s):  
Shi Lin Yan ◽  
Yong Jing Lee ◽  
De Quan Lee ◽  
Fei Yan ◽  
Jun Xia Wang
Keyword(s):  
Fluid Flow ◽  
Random Process ◽  
Fiber Bundles ◽  
Resin Flow ◽  
Flow Channels ◽  
Transverse Permeability

This paper uses FLOTRAN to estimate the resin flow permeability of fiber tow in RTM. Nine models of different fractions varies from 0.4~0.75 have been built, and the random process of the fiber’s distribution is realized by APDL code. The results show that the dispersion of fiber determines the fluid flow channels, which effect the pressure and velocity’s distribution; the FLOTRAN can be used to estimate the transverse permeability of the fiber bundles.

THEORETICAL ANALYSES FOR LASER MACHINING MICROCHANNELS AND DEMONSTRATION OF THEIR USES IN MANUFACTURE OF A MICROFLUIDIC OPTICAL SWITCH

2006 ◽  
Vol 13 (06) ◽  
pp. 795-802 ◽  
Author(s):  
DANIEL LIM ◽  
ERNA GONDO SANTOSO ◽  
KIM MING TEH ◽  
STEPHEN WAN ◽  
H. Y. ZHENG
Keyword(s):  
Fluid Flow ◽  
Optical Switch ◽  
Low Cost ◽  
Microfluidic Devices ◽  
Cost Effective ◽  
Laser Machining ◽  
Machining Parameters ◽  
Flow Channels ◽  
Cost Effective Method ◽  
Theoretical Analyses

Silicon has been widely used to fabricate microfluidic devices due to the dominance of silicon microfabrication technologies available. In this paper, theoretical analyses are carried out to suggest suitable laser machining parameters to achieve required channel geometries. Based on the analyses, a low-power CO 2 laser was employed to create microchannels in Acrylic substrate for the use of manufacturing an optical bubble switch. The developed equations are found useful for selecting appropriate machining parameters. The ability to use a low-cost CO 2 laser to fabricate microchannels provides an alternative and cost-effective method for prototyping fluid flow channels, chambers and cavities in microfluidic lab chips.

scholarly journals SIZE EFFECT ON THE PERMEABILITY AND SHEAR INDUCED FLOW ANISOTROPY OF FRACTAL ROCK FRACTURES

Fractals ◽  
2018 ◽  
Vol 26 (02) ◽  
pp. 1840001 ◽  
Author(s):  
NA HUANG ◽  
YUJING JIANG ◽  
RICHENG LIU ◽  
YUXUAN XIA
Keyword(s):  
Fluid Flow ◽  
Stable State ◽  
Simulation Method ◽  
Shear Direction ◽  
Direction Parallel ◽  
Flow Channels ◽  
Fracture Size ◽  
Flow Through ◽  
Model Size ◽  
Induced Flow

The effect of model size on fluid flow through fractal rough fractures under shearing is investigated using a numerical simulation method. The shear behavior of rough fractures with self-affine properties was described using the analytical model, and the aperture fields with sizes varying from 25 to 200[Formula: see text]mm were extracted under shear displacements up to 20[Formula: see text]mm. Fluid flow through fractures in the directions both parallel and perpendicular to the shear directions was simulated by solving the Reynolds equation using a finite element code. The results show that fluid flow tends to converge into a few main flow channels as shear displacement increases, while the shapes of flow channels change significantly as the fracture size increases. As the model size increases, the permeability in the directions both parallel and perpendicular to the shear direction changes significantly first and then tends to move to a stable state. The size effects on the permeability in the direction parallel to the shear direction are more obvious than that in the direction perpendicular to the shear direction, due to the formation of contact ridges and connected channels perpendicular to the shear direction. The variances of the ratio between permeability in both directions become smaller as the model size increases and then this ratio tends to maintain constant after a certain size, with the value mainly ranging from 1.0 to 3.0.

Determination of the Permeability Tensor of Fibrous Reinforcements for VARTM

1999 ◽  
Author(s):  
Pavel B. Nedanov ◽  
Suresh G. Advani ◽  
Shawn W. Walsh ◽  
William O. Ballata
Keyword(s):  
Constant Pressure ◽  
Permeability Tensor ◽  
Three Dimensions ◽  
Resin Flow ◽  
Flow Front ◽  
Resin Impregnation ◽  
Permeable Media ◽  
Front Position ◽  
Transverse Permeability

Abstract VARTM and SCRIMP composite manufacturing processes use a highly permeable media to distribute the resin through the thickness of the composite. Hence, manufacturing simulations of resin flow in such processes requires reliable data for in-plane as well as transverse permeability. The goal of this study is to propose a method for simultaneous determination of the principal values of 3D-permeability tensor of fibrous reinforcements. The permeability components are calculated from experimental data, consisting of flow front position with time during resin impregnation in three dimensions from a radial source under constant pressure using the SMARTweave [Walsh (1993), Fink et al.(1995)] sensor system. Experimental results are compared with numerical simulation.

Damage assessment of carbon-epoxy composites with and without resin flow channels

2019 ◽  
Vol 211 ◽  
pp. 213-220
Author(s):  
Kariappa M. Karumbaiah ◽  
Christoph Kracke ◽  
Mark Battley ◽  
Simon Bickerton ◽  
Tom Allen
Keyword(s):  
Damage Assessment ◽  
Epoxy Composites ◽  
Resin Flow ◽  
Flow Channels

scholarly journals Experimental observation of fluid flow channels in a single fracture

1998 ◽  
Vol 103 (B3) ◽  
pp. 5125-5132 ◽  
Author(s):  
Stephen Brown ◽  
Arvind Caprihan ◽  
Robert Hardy
Keyword(s):  
Fluid Flow ◽  
Experimental Observation ◽  
Single Fracture ◽  
Flow Channels

Smart proppant concept for monitoring hydraulic fractures

2011 ◽  
Vol 51 (1) ◽  
pp. 527 ◽  
Author(s):  
Arcady Dyskin ◽  
Elena Pasternak ◽  
Greg Sevel ◽  
Rachel Cardell-Oliver
Keyword(s):  
Fluid Flow ◽  
Random Distribution ◽  
Energy Content ◽  
Low Frequency ◽  
Hydraulic Fractures ◽  
Low Frequencies ◽  
Flow Channels ◽  
Monitoring Technique ◽  
Smart Actuators ◽  
Subsurface Fluid

Monitoring subsurface fluid flow is important in mapping hydraulic fractures and identifying flow channels in reservoirs. A new monitoring technique is proposed whereby fluid is injected with smart actuators capable of organising their pulses to create a combined output with a higher proportion of energy at low frequencies. Ideally, the best results occur when actuators are sequentialised so each next actuator emits its pulse immediately after the previous actuator. The low frequency energy content achieved using sequentialisation is much higher than that achieved with a random distribution of pulses, but is relatively insensitive to practical errors in scheduling and irregular attenuations of amplitudes. Simulations show that actuators can be self-organised into a sequential state by monitoring other actuators’ pulses using the algorithm presented in this paper.

Geometric issues in reverse osmosis: numerical simulation and experimentation

2014 ◽  
Vol 70 (8) ◽  
pp. 1348-1354 ◽  
Author(s):  
G. Srivathsan ◽  
Ephraim Sparrow ◽  
John Gorman
Keyword(s):  
Experimental Data ◽  
Numerical Simulation ◽  
Fluid Flow ◽  
Velocity Field ◽  
Reverse Osmosis ◽  
Geometric Imperfections ◽  
Flow Channels ◽  
Ro Membrane ◽  
Simulation Results ◽  
Practical Impact

This investigation is a synergistic combination of laboratory experimentation and numerical simulation to quantify the practical impact of geometric imperfections in the flow channels of a reverse osmosis (RO) system. To this end, carefully executed experiments are performed to quantify the fluid flow in a system containing feed spacers which are embedded in the RO membrane. In a complementary activity, numerical simulations were performed both for an ideal geometric situation (without embedments) and the actual geometric configuration including the embedments. It was found that the presence of unaccounted embedments affected the pressure drop predictions for the system by 14–19%. When account was taken of the embedments, the simulation results were found to be virtually coincident with the experimental results. This outcome suggests that deviations between experimental and simulation results encountered in the literature might well have been due to geometrical deviations of the type investigated here. The numerical simulation of the feedwater fluid flow was based on the often-used but unverified assumption that the velocity field experiences the geometric periodicity of the feed spacer. This assumption was lent support by results from a non-periodic simulation model and by the excellent agreement between the numerically based predictions and the experimental data.

Hydrodynamic Mass Matrix for a Multibodied System

1974 ◽  
Vol 96 (2) ◽  
pp. 611-618
Author(s):  
G. R. Sharp ◽  
W. A. Wenzel
Keyword(s):  
Fluid Flow ◽  
Continuity Equation ◽  
Mass Matrix ◽  
Governing Equations ◽  
Liquid Environment ◽  
Flow Channels ◽  
Multimass System ◽  
Parallel Surfaces ◽  
Solid Bodies ◽  
Unidirectional Motion

A matrix technique is developed herein for generating the hydrodynamic mass matrix associated with a multimass system immersed in a liquid environment. The technique assumes that the liquid environment may be represented by a series of flow-channels and nodes. Flow-channels are introduced in the region between surfaces of neighboring solids, and nodes are used to connect two or more flow channels. It is assumed that the solid bodies undergo unidirectional motion and that potential flow theory is applicable. Equations for fluid flow in a variable area flow-channel are obtained by first developing the governing equations for fluid flow in a channel bounded by two parallel surfaces which may move in translation both perpendicular and parallel to the direction of flow. The continuity equation is then developed for an arbitrary node, and the general matrix equation for computing hydrodynamic mass obtained by applying the developed equations to a particular problem.

scholarly journals Fluid flow in a porous medium with transverse permeability discontinuity

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Galina E. Pavlovskaya ◽  
Thomas Meersmann ◽  
Chunyu Jin ◽  
Sean P. Rigby
Keyword(s):  
Porous Medium ◽  
Fluid Flow ◽  
Transverse Permeability
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