SCHEDULE: NOV 10-16, 2012
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In-Situ Feature Tracking and Visualization of a Temporal Mixing Layer
SESSION: Scientific Visualization Showcase Reception
EVENT TYPE: Scientific Visualization Showcases
TIME: 5:15PM - 7:00PM
AUTHOR(S):Earl P.N. Duque, Daniel Heipler, Christopher P. Stone, Steve M. Legensky
ROOM:North Foyer
ABSTRACT:
The flowfield for a temporal mixing layer was analyzed by solving the Navier-Stokes equations via a Large Eddy Simulation method, LESLIE3D, and then visualizing and post-processing the resulting flow features by utilizing the prototype visualization and CFD data analysis software system Intelligent In-Situ Feature Detection, Tracking and Visualization for Turbulent Flow Simulations (IFDT). The system utilizes volume rendering with an Intelligent Adaptive Transfer Function that allows the user to train the visualization system to highlight flow features such as turbulent vortices. A feature extractor based upon a Prediction-Correction method then tracks and extracts the flow features and determines the statistics of features over time. The method executes In-Situ with the flow solver via a Python Interface Framework to avoid the overhead of saving data to file. The movie submitted for this visualization showcase highlights the visualization of the flow such as the formation of vortex features, vortex breakdown, the onset of turbulence and then fully mixed conditions.
Chair/Author Details:
Earl P.N. Duque - Intelligent Light
Daniel Heipler - Intelligent Light
Christopher P. Stone - Computaional Sciences and Engineering LLC
Steve M. Legensky - Intelligent Light
Click here to download .ics calendar file
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In-Situ Feature Tracking and Visualization of a Temporal Mixing Layer
SESSION: Scientific Visualization Showcase Reception
EVENT TYPE:
TIME: 5:15PM - 7:00PM
AUTHOR(S):Earl P.N. Duque, Daniel Heipler, Christopher P. Stone, Steve M. Legensky
ROOM:North Foyer
ABSTRACT:
The flowfield for a temporal mixing layer was analyzed by solving the Navier-Stokes equations via a Large Eddy Simulation method, LESLIE3D, and then visualizing and post-processing the resulting flow features by utilizing the prototype visualization and CFD data analysis software system Intelligent In-Situ Feature Detection, Tracking and Visualization for Turbulent Flow Simulations (IFDT). The system utilizes volume rendering with an Intelligent Adaptive Transfer Function that allows the user to train the visualization system to highlight flow features such as turbulent vortices. A feature extractor based upon a Prediction-Correction method then tracks and extracts the flow features and determines the statistics of features over time. The method executes In-Situ with the flow solver via a Python Interface Framework to avoid the overhead of saving data to file. The movie submitted for this visualization showcase highlights the visualization of the flow such as the formation of vortex features, vortex breakdown, the onset of turbulence and then fully mixed conditions.
Chair/Author Details:
Earl P.N. Duque - Intelligent Light
Daniel Heipler - Intelligent Light
Christopher P. Stone - Computaional Sciences and Engineering LLC
Steve M. Legensky - Intelligent Light
Click here to download .ics calendar file