NUMERICAL ANALYSIS OF FLOW RESISTANCE CHARACTERISTIC FOR OIL ATOMIZED NOZZLE AT LOWER PRESSURE

2005 ◽  
Vol 41 (09) ◽  
pp. 185
Author(s):  
Jingyu Ran
Keyword(s):  
Numerical Analysis ◽  
Flow Resistance ◽  
Lower Pressure ◽  
Resistance Characteristic

Numerical Analysis of Impinging Air Flow and Heat Transfer in Plate-Fin Type Heat Sinks

1999 ◽  
Vol 123 (3) ◽  
pp. 315-318 ◽  
Author(s):  
Keiji Sasao ◽  
Mitsuru Honma ◽  
Atsuo Nishihara ◽  
Takayuki Atarashi
Keyword(s):  
Heat Transfer ◽  
Thermal Conductivity ◽  
Numerical Analysis ◽  
Numerical Method ◽  
Heat Sink ◽  
Flow Resistance ◽  
Air Flow ◽  
Heat Sinks ◽  
Flow And Heat Transfer ◽  
Conventional Methods

A numerical method for simulating impinging air flow and heat transfer in plate-fin type heat sinks has been developed. In this method, all the fins of an individual heat sink and the air between them are replaced with a single, uniform element having an appropriate flow resistance and thermal conductivity. With this element, fine calculation meshes adapted to the shape of the actual heat sink are not needed, so the size of the calculation mesh is much smaller than that of conventional methods.

Numerical analysis of flow resistance characteristics in an inclined rod bundle channel

2020 ◽  
Vol 122 ◽  
pp. 103247
Author(s):  
Yinxing Zhang ◽  
Puzhen Gao ◽  
Xiaoqiang He ◽  
Chong Chen ◽  
Qiang Wang ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Flow Resistance ◽  
Rod Bundle

scholarly journals Examination of Void Formation Mechanism by Numerical Analysis

1997 ◽  
Vol 6 (1) ◽  
pp. 096369359700600
Author(s):  
Naoto Ikegawa ◽  
Hiroyuki Hamada ◽  
Zenichiro Maekawa
Keyword(s):  
Finite Element Method ◽  
Porous Medium ◽  
Numerical Analysis ◽  
Formation Mechanism ◽  
Flow Resistance ◽  
Flow Behavior ◽  
Resin Transfer Molding ◽  
Void Formation ◽  
Homogenization Method ◽  
Transfer Molding

In order to analyze flow behavior of resin in the system with porous medium such as fibrous reinforcement for Structural Resin Transfer Molding (SRTM), equivalent viscosity according to a concept of homogenization method was introduced as an index of flow resistance. Numerical analysis using finite element method (FEM) was performed to clarify the void formation mechanism.

scholarly journals Experimental Study on Flow Resistance Characteristic of Corrugated Low Finned Tubes

2020 ◽  
Vol 474 ◽  
pp. 052068
Author(s):  
Bin Ren ◽  
Zhe Pu ◽  
Xiaoying Tang ◽  
Hongliang Lu ◽  
Yannan Du ◽  
...  
Keyword(s):  
Experimental Study ◽  
Flow Resistance ◽  
Resistance Characteristic ◽  
Finned Tubes

Specific Hydraulic Conductivity of Corneal Stroma as Seen by Quick-Freeze/Deep-Etch

2000 ◽  
Vol 123 (2) ◽  
pp. 154-161 ◽  
Author(s):  
Darryl Overby ◽  
Jeffrey Ruberti ◽  
Haiyan Gong ◽  
Thomas F. Freddo ◽  
Mark Johnson
Keyword(s):  
Extracellular Matrix ◽  
Hydraulic Conductivity ◽  
Flow Resistance ◽  
Corneal Stroma ◽  
High Flow ◽  
Depth Of Field ◽  
Resistance Characteristic ◽  
Connective Tissues ◽  
Electron Microscopic ◽  
Microscopic Techniques

Previous studies of the hydraulic conductivity of connective tissues have failed to show a correspondence between ultrastructure and specific hydraulic conductivity. We used the technique of quick-freeze/deep-etch to examine the ultrastructure of the corneal stroma and then utilized morphometric studies to compute the specific hydraulic conductivity of the corneal stroma. Our studies demonstrated ultrastructural elements of the extracellular matrix of the corneal stroma that are not seen using conventional electron microscopic techniques. Furthermore, we found that these structures may be responsible for generating the high flow resistance characteristic of connective tissues. From analysis of micrographs corrected for depth-of-field effects, we used Carmen-Kozeny theory to bound a morphometrically determined specific hydraulic conductivity of the corneal stroma between 0.46×10−14 and 10.3×10−14 cm2. These bounds encompass experimentally measured values in the literature of 0.5×10−14 to 2×10−14 cm2. The largest source of uncertainty was due to the depth-of-field estimates that ranged from 15 to 51 nm; a better estimate would substantially reduce the uncertainty of these morphometrically determined values.

Sign in / Sign up

Export Citation Format

Share Document