Metal cutting is a very involved process. Large deformations, high temperature gradients and extreme
strain rates are encountered. Thus, the simulation of metal cutting remains an active area of research.
In fact, a state of the art meshless metal cutting solver is developed at IWF. Metal cutting simulations
produce a lot of data, some of which is tensorial (the stress). Since the solver is meshless the data
happens to be unstructured. This work is concerned with visualizing such data. This work is intended
as a master thesis, but can be reduced in scope to a bachelor thesis if requested.
**Challenges**
Visualizing such data in a meaningful way is far from trivial. A lot of approaches from glyph based
mapping, hue balls, hyper stream lines or even ideas inspired from visualizing MRI data exists. Some of these approaches have not been applied to engineering problems yet, and possibly none of them to meshless data.
**Tasks**
- Literature review on tensor visualization
- Selection of suitable algorithms
- Implementation of these algorithms in C/C++ and OpenGL
- If applicable, export to some ray tracing software (e.g. POV-Ray)
- Entering the results into a scientific image contest
**Requirements**
- Motivated, creative and autonomous student
- Solid mathematical background
- Programming skills, preferably C/C++
- Interest in scientific visualization

Metal cutting is a very involved process. Large deformations, high temperature gradients and extreme
strain rates are encountered. Thus, the simulation of metal cutting remains an active area of research.
In fact, a state of the art meshless metal cutting solver is developed at IWF. Metal cutting simulations
produce a lot of data, some of which is tensorial (the stress). Since the solver is meshless the data
happens to be unstructured. This work is concerned with visualizing such data. This work is intended
as a master thesis, but can be reduced in scope to a bachelor thesis if requested.

**Challenges**

Visualizing such data in a meaningful way is far from trivial. A lot of approaches from glyph based
mapping, hue balls, hyper stream lines or even ideas inspired from visualizing MRI data exists. Some of these approaches have not been applied to engineering problems yet, and possibly none of them to meshless data.

**Tasks**

- Literature review on tensor visualization

- Selection of suitable algorithms

- Implementation of these algorithms in C/C++ and OpenGL

- If applicable, export to some ray tracing software (e.g. POV-Ray)

- Entering the results into a scientific image contest