Material Science - Crystal Grain Visualization. Max Zeyen

Transcription

1 Material Science - Crystal Grain Visualization Max Zeyen

2 Overview Introduction Motivation Goals State of the Art Query Raycasting Concept Data Analysis Results Future Work Query Raycasting Tensor Visualization Questions

3 Introduction (Courtesy of R. Pokharel)

4 Introduction (Courtesy of R. Pokharel)

5 Motivation Predictive, microstructure-sensitive ductile failure model Established visualization methods are insufficient

6 Goals Information Extraction New Exploratory Visualizations Data Format Improvement

7 State of the Art Color Coding (Courtesy of S. Zaefferer) Cutting Planes

8 Query Raycasting - Concept

9 Query Raycasting - Concept

10 Query Raycasting - Concept

11 Query Raycasting - Concept

12 Query Raycasting Data Analysis Volume Center of Mass Mass Principle Moments of Inertia Betti Numbers Grain Boundary Previous Grain ID Misorientation Clusters Normal Curvature Stress/Strain Tensor Principle Components

13 Query Raycasting Data Analysis Volume Center of Mass Mass Principle Moments of Inertia Betti Numbers Filtering Grain Boundary Previous Grain ID Misorientation Clusters Normal Curvature Stress/Strain Tensor Principle Components

14 Query Raycasting Data Analysis Volume Center of Mass Mass Principle Moments of Inertia Betti Numbers Filtering Grain Boundary Previous Grain ID Misorientation Clusters Visualization Normal Curvature Stress/Strain Tensor Principle Components

15 Query Raycasting - Results Timestep 1

16 Query Raycasting - Results Timestep 1 Timestep 100

17 Future Work - Query Raycasting Specify Values to Visualize Specify Timestep Range More Powerful Filter Criteria

18 Future Work - Query Raycasting Specify Values to Visualize Specify Timestep Range More Powerful Filter Criteria SELECT orientation, max_tensor FROM timestep_0001 TO timestep_0100 WHERE grainid > 42 AND volume > 6 AND volume < 42

19 Future Work Query Raycasting

20 Future Work Query Raycasting

21 Future Work - Tensor Visualization Super Quadrics (Courtesy of G. Kindlmann)

22 Future Work - Tensor Visualization Super Quadrics (Courtesy of G. Kindlmann) Stream Tubes (Courtesy of Y. T. Weldeselassie)

23 Future Work - Tensor Visualization Super Quadrics (Courtesy of G. Kindlmann) Stream Tubes (Courtesy of Y. T. Weldeselassie) Merging-Ellipses (Courtesy of W. Chen)

24 Future Work Tensor Visualization Topological Analysis (Courtesy of T. Weinkauf)

25 Future Work Tensor Visualization Topological Analysis (Courtesy of T. Weinkauf)

26 Future Work Tensor Visualization Topological Analysis (Courtesy of T. Weinkauf) Contour Boxplot

27 Questions? Thank you

28 References Pokharel, R., J. Lind, S. F. Li, P. Kenesei, R. A. Lebensohn, R. M. Suter, and A. D. Rollett. In-situ observation of bulk 3-D microstructure evolution of polycrystalline copper using synchrotron radiation. To appear in International Journal of Plasticity. Pokharel R., Spatially resolved in-situ study of plastic deformation in polycrystalline copper using high-energy X-rays and full-field simulations, PhD Thesis, Carnegie Mellon University, Yonas T. Weldeselassie, Ghassan Hamarneh, Daniel Weiskopf, Tensor Dissimilarity Based Adaptive Seeding Algorithm for DT-MRI Visualization with Streamtubes, Medical Imaging 2007: Visualization and Image-Guided Procedures, Published in Proceedings Volume 6509, March 2007 Wei Chen; Song Zhang; Correia, S.; Tate, D.F., Visualizing diffusion tensor imaging data with merging ellipsoids, Visualization Symposium, PacificVis '09. IEEE Pacific, vol., no., pp.145,151, April 2009 doi: /PACIFICVIS T. Weinkauf, Extraction of Topological Structures in 2D and 3D Vector Fields, PhD Thesis, University Magdeburg,