Analyzing Industrial Furnace Efficiency Using Comparative Visualization in a Virtual Reality Environment
Author:
Freitag Lori1, Urness Timothy2
Affiliation:
1. Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439 2. Department of Computer Science and Engineering, University of Minnesota, 4-192 EE/CSci Building, 200 Union Street S.E., Minneapolis, MN 55455
Abstract
We describe an interactive toolkit used to perform comparative analysis of two or more data sets arising from numerical simulations. Several techniques have been incorporated into this toolkit, including (1) successive visualization of individual data sets, (2) data comparison techniques such as computation and visualization of the differences between data sets, and (3) image comparison methods such as scalar field height profiles plotted in a common coordinate system. We describe each technique in detail and show example usage in an industrial application aimed at designing an efficient, low-NOx burner for industrial furnaces. Critical insights are obtained by interactively adjusted color maps, data culling, and data manipulation. New paradigms for scaling small values in the data comparison technique are described. The display device used for this application is the CAVE virtual reality theater, and we describe the user interface to the visualization toolkit and the benefits of immersive 3D visualization for comparative analysis.
Publisher
ASME International
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering
Reference10 articles.
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