Projects

STV Project

3-D Video Velocimetry System and Entire Flow Mapping Around Large-Scale Parachutes

In this project, the 3-D flow field around a model and full-scale parachute will be extracted by STV technique. In terms of previous investigation, both hardware and software are improved to better accomplish the task measuring a large flow field. Numerical simulation and computation are also performed for better assessing the experimental result.

Plot of the bubble centroids found through particle overlap decomposition.

Plot of bubble tracks by forward four-frame tracking.

Extracted velocity field at a typical moment.

Color plot of velocity amplitudes.

Procedure of 2-D simulation experiments

Zoom view (around parachute) of FLUENT result –

contour plot of velocity magnitude (m/s); at t = 84.78s.

Tracking result of 2D simulated parachute flow field.

Vertical slices for pathlines and color plot of velocities - 3-D simulation experiments.

Perspective view of reconstructed 3-D velocity vector field.

Top view of reconstructed 3-D velocity vector field.

STV Project

3-D STEREOSCOPIC TRACKING VELOCIMETRY AND EXPERIMENTAL/NUMERICAL COMPARISON OF DIRECTIONAL SOLIDIFICATION

In this project, the fundamental transport and solidification phenomena occurring in crystal growth have been investigated, by utilizing a non-intrusive optical measurement technique. The research requires new innovative development of novel approaches for determining numerous-particles motion with precision and speed. The method is based on the use of robust intelligent neural networks for particle tracking and for stereoscopic vision calibration to measure three-dimensional velocity profiles in fluid flow. The work is conducted in close collaboration with NASA Marshall Space Flight Center. In addition to the experimental physical understanding, numerical simulation is also conducted by employing the FIDAP software package.

The history of captured 60 frame images

Preliminary result using FIDAP 7.5

Integrated Hybrid System for Fringe Analysis

INTELLIGENT HYDBRIDEXPERT SYSTEM FOR GROSS-FIELD INTERFEROMETRIC

ANALYSIS OF MECHANICAL PHENOMENA

The effort concerns development of intelligent experimental data processing, which can cover image acquisition and gross-field interferometric visualization for various mechanical engineering phenomena. To accomplish the task, development of an intelligent system based on the use of artificial intelligence is pursued. Typical experimental image reduction techniques are regression, Fourier transform, and phase stepping methods. In the study, fundamental investigations is also pursued for developing the commercially viable software. Interferometric images show strong a priori information, that is, directionality. This valuable information is exploited for image processing to accomplish effective noise reduction. The ultimate goal of the intelligent high-level processing is to exploit human-like intelligent and judgment for expeditious and accurate data reduction. After development the experimental system is deployed for analyzing various phenomena related to space biology and material processing.