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Tecplot

Case Studies

Visualising a Turbulent Jet Simulation
West Lafayette, IN - February 2002

Contributed by:
David Glase
Purdue University

Gaseous fuel mixing with air.

David Glase from Purdue University develops models for simulating turbulent combustion. Improved accuracy for this type of simulation could potentially benefit internal combustion engines in cars, gas turbine engines in airplanes, power plants, and other turbulent combustion processes.

His goal is to improve efficiency while reducing pollution. The best way to solve problems of this type is with advanced computer modeling of combustion processes.

His simulation code runs on an IBM SP supercomputer. The code runs in parallel on 16 processors, using a total of about 6GB of RAM and about 10,000 hours of CPU time. Visualising the mountains of data from simulations like this once posed a huge challenge.

2-D slice displaying mixture composition of gaseous fuel mixing with air.

Today Tecplot can smoothly tackle data of this magnitude. Version 9.0 enables quick rotation, sooming and translation of 2-D and 3-D data sets that consist of millions of points. New Plot Approximation Mode options vastly reduce rendering time, and increase responsiveness for viewing even the largest data sets.

By exploring, slicing and adjusting plot attributes, David's data yields a better understanding of underlying physics and insight into the simulation.

Axial and transverse slices through the jet can be useful for spotting problems in the simulation. For example, implicit numerical dispersion errors show up as jagged edges on contours that should be smooth.

Iso-surfaces are a great way to quickly assess 3-D data. The level of turbulent mixing can be seen in the plot at the top of this page, large vortical turbulent structures can be isolated with plots of pressure (above), and the small-scale turbulent structure can be easily seen with a vorticity plot (below).

Streamtraces illustrate the nature of the vector field flow within the volume. Transparent iso-surfaces enable us to view the shape as well as internal phenomena.

A 2-D slice along the axis of a 3-D simulation of a fully-turbulent jet flow . The grayscale contours represent mixture fraction. This can be thought of as a smoke tracer added to the flow. The lower half of the plot shows velocity vectors, colored and scaled by their relative magnitude. The duration of the movie represents about 70ms of time in a 26mm gas jet operating at a Reynolds number of 21,000.
Download the AVI movie (11,668 KB).

David presents most of his time-averaged data using XY-plots. His current research focuses on duplicating experimental data that is measured from actual jets. For comparison, he plots the axial velocity decay along the centerline of the jet, as well as radial velocity profiles at several axial locations. These, along with similar plots of turbulence intensity and Reynolds stresses allow him to judge the effectiveness of the turbulence models and numerical method chosen for his code.

XY-plots enable comparison of simulation data with experimental data.

A 2-D axial slice with a single iso-surface through time-averaged data.

Transverse slices with a transparent iso-surface through time-averaged data

These images display a variety of exploration and presentation options Tecplot offers with its unique combination of technical plotting and powerful 3-D visualisation. Chris Wingard from Oregon State University summed it up best when he said "With Tecplot, the only limitation to what I can do is my imagination." David Glase noted "I can do anything I dream up."



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"Tecplot software has provided an incredible boost to our productivity in terms of our research output and the insights we are able to obtain."
Rajat Mittal, George Washington University
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