Weaknesses of a Jet Turbine Engine
In this activity you will learn how to analyze 3D scientific data sets and get experience thinking in three dimensional space (NOT EASY!). This data set is a computed tomography (CT) scan of a turbine fan blade, where gradients in density are observed. The objective of this data is to detect the existence of cracks, voids, and other anomalies in a fan. This technology will help detect errors in turbine fans before they are put into use, making them more safe. Below is a picture, showing how the data is organized.
In this activity you will use the JAVA 3d Slicer to view the three dimensional data set. While "slicing" through the x, y, and z planes you will observe trends in the fuel concentrations. As you move the slice through the data the observed colors will change; red stands for the highest concentration and purple for the lowest concentration.
To perform this activity you will use the first data set in the brown.hdf file . The data set exists in the JAVA 3d Slicer's folder; it is named fan_256_sds.hdf. To access the file you select the drop down menu on the top of the JAVA applet and select "Open URL", then type "fan_256_sds.hdf" (without the quotes). The data set will then load on the screen and you can move the "slice" through the data to observe certain trends and concentration levels.
The colors seen in the 3D Slicer represents the density of the turbine fan. Green colors represent very low density, while red represents very high density. Blue colors represent voids.
Original work provided by Bryan Foster, Shoma Sarkar, and Mike Wojdyla (Class of '00).
Fanblade picture courtesy of Dr Antonios Tourlidakis at Cranfield University.
Copyright © 1999 Central Virginia Governor's School for Science and Technology Lynchburg, VA