Benzley, SE
1990
Visualization Software
Stephenson, M.B.; Christiansen, H.N. and Benzley, S.E.
In proceeding of Electronic Imaging West, 1990. Funded by Brigham Young University Engineering Computer Graphics Laboratory.
As the cost of computational power decreases, more and more algorithms appear which model physical processes using digital computers rather than physical scale models or experiments. Many of these algorithms use discrete approximation methods to solve a continuous problem. The complexity of these algorithms has increased also, as computational power has increased, from hundreds of data points to a million or more, and from two dimensions to three.
Many engineering applications suffer from a lack of adequate presentation graphics that makes the interpretation of the analytical data, described above, difficult. Trends and patterns are more easily observed in graphical form when compared to reviewing tabulated data. In engineering applications, color and shading may be used to realistically portray an object and also to present additional information about it through the use of distorted shapes and color coding to classify such functions as temperature, pressure, species concentrations, etc.
The programs, described in the following sections, address the issue of visualization of finite element and finite difference data. They reflect the effort of numerous researchers over a period of approximately twenty years.
Benzley, SE
1990
Visualization Software
Stephenson, M.B.; Christiansen, H.N. and Benzley, S.E.
In proceeding of Electronic Imaging West, 1990. Funded by Brigham Young University Engineering Computer Graphics Laboratory.
As the cost of computational power decreases, more and more algorithms appear which model physical processes using digital computers rather than physical scale models or experiments. Many of these algorithms use discrete approximation methods to solve a continuous problem. The complexity of these algorithms has increased also, as computational power has increased, from hundreds of data points to a million or more, and from two dimensions to three.
Many engineering applications suffer from a lack of adequate presentation graphics that makes the interpretation of the analytical data, described above, difficult. Trends and patterns are more easily observed in graphical form when compared to reviewing tabulated data. In engineering applications, color and shading may be used to realistically portray an object and also to present additional information about it through the use of distorted shapes and color coding to classify such functions as temperature, pressure, species concentrations, etc.
The programs, described in the following sections, address the issue of visualization of finite element and finite difference data. They reflect the effort of numerous researchers over a period of approximately twenty years.