Fluid Physics at Meso Scales

2008 ◽  
pp. 45-65
Keyword(s):  
Fluid Physics

REVIEW OF THE EFFECTS OF SURFACE TOPOGRAPHY, SURFACE CHEMISTRY, AND FLUID PHYSICS ON EVAPORATION AT THE CONTACT LINE

2008 ◽  
Vol 196 (5) ◽  
pp. 658-696 ◽  
Author(s):  
Joel L. Plawsky ◽  
Manas Ojha ◽  
Arya Chatterjee ◽  
Peter C. Wayner
Keyword(s):  
Surface Chemistry ◽  
Surface Topography ◽  
Contact Line ◽  
Fluid Physics

scholarly journals Hydrodynamics Around a Deep-Draft Semi-Submersible With Various Corner Shapes

2018 ◽  
Author(s):  
Yibo Liang ◽  
Longbin Tao
Keyword(s):  
Numerical Model ◽  
Experimental Test ◽  
Numerical Study ◽  
Water Channel ◽  
Hydrodynamic Characteristics ◽  
Shape Design ◽  
Circulating Water ◽  
Fluid Physics ◽  
Shape Effects ◽  
Geometric Study

A numerical study on flow over a stationary deep-draft semi-submersible (DDS) with various corner shapes was carried out to investigate the corner shape effects on the overall hydrodynamics. Three models based on a typical DDS design with different corner shapes were numerically investigated under 45° incidence. The present numerical model has been validated by an experimental test carried out in a circulating water channel. It is demonstrated that, as the corner shape design changed, the hydrodynamic characteristics alter drastically. In addition, the flow patterns were examined to reveal some insights of the fluid physics due to the changing of different corner shape designs. The detailed numerical results from the geometric study will provide a good guidance for future practical designs.

Thermal Science of Weld Bead Defects: A Review

2010 ◽  
Vol 133 (3) ◽  
Author(s):  
P. S. Wei
Keyword(s):  
Stress Concentration ◽  
Experimental Results ◽  
Materials Processing ◽  
Scale Analysis ◽  
Fluid Physics ◽  
The Past ◽  
Good Comparison ◽  
Surface Patterns ◽  
Pattern Formations ◽  
Working Parameters

Mechanisms for the formation of bead defects, such as humping, gouging, rippling, and other unexpected surface patterns, encountered in welding or drilling are interpreted and reviewed from thermal-fluid science viewpoint. These defects usually accompanying with porosity, undercut, segregation, stress concentration, etc., seriously reduce the properties and strength of the joint or solidification. Even though different mechanisms for formation of the defects have been extensively proposed in the past, more systematical understanding of pattern formations from thermal, fluid, physics, electromagnetic, pattern selections, and metallurgy sciences is still limited. The effects of working parameters and properties on humping and rippling, for example, can be systematically and quantitatively interpreted from scale analysis presented in this work. Good comparison with experimental results reveals mechanisms of different surface patterns. The mechanistic findings for bead defects are also useful for other manufacturing and materials processing.

Three-Dimensional High-Resolution Optical/X-Ray Stereoscopic Tracking Velocimetry

2004 ◽  
Author(s):  
David J. Lee ◽  
Soyoung S. Cha ◽  
Narayanan Ramachandran
Keyword(s):  
Three Dimensional ◽  
Initial Step ◽  
Industrial Applications ◽  
Materials Processing ◽  
Current Status ◽  
Motion Velocity ◽  
Processing Efficiency ◽  
X Ray ◽  
Fluid Physics ◽  
Component Velocity

Measurement of three-dimensional (3-D) three-component velocity fields is of great importance in a variety of research and industrial applications for understanding materials processing, fluid physics, and strain/displacement measurements. The 3-D experiments in these fields most likely inhibit the use of conventional techniques, which are based only on planar and optically-transparent-field observation. Here, we briefly review the current status of 3-D diagnostics for motion/velocity detection, for both optical and x-ray systems. As an initial step for providing 3-D capabilities, we have developed stereoscopic tracking velocimetry (STV) to measure 3-D flow/deformation through optical observation. The STV is advantageous in system simplicity, for continually observing 3-D phenomena in near real-time. In an effort to enhance the data processing through automation and to avoid the confusion in tracking numerous markers or particles, artificial neural networks are employed to incorporate human intelligence. Our initial optical investigations have proven the STV to be a very viable candidate for reliably measuring 3-D flow motions. With previous activities are focused on improving the processing efficiency, overall accuracy, and automation based on the optical system, the current efforts is directed to the concurrent expansion to the x-ray system for broader experimental applications.

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