Research On Visualization Method Of Complex3D Microstructure And Its Evolution Process

With the rapid development of computer science and technology,2D visualizationtechnology has not satisfied people’s needs yet and the attraction of3D world isbecoming larger and larger. In the study of3D visualization, complex microstructureant its evolution process has become a challenge in the field of informationvisualization and attracted more and more attention of scholars from various fields.Visualization of welded joint’s microstructure evolution has long been an importantresearch subject, and visualization of EEG coherence is also a hot research point. Thispaper is mainly aimed to do the following tasks:1) According to the cellular atomation(CA) theory, the3D CA is extended. Basedon mathematical models of nucleation, growth kinetics, heat transfer and mass transfer,The3D CA microstructure visualization(MSV) model is built and further modelframework and corresponding algorithm are described.2) On the fundation of grain nucleation theory, a3DCA-based nucleationalgorithm is proposed and the visualization of grain nucleation is finished. Combinedwith grain growth theory, dendrite growth parameters including undercooling, growthvelocity of the dendrite tip, curvature and the solid fraction are studied. After that, a3DCA-based grain growth algorithm is proposed and applied to visualization of thegrowth process of equiaxed crystals and columnar crystals.3) Time and frequency domain analysis and parametric model analysis of EEGcoherence are conducted. The3D image of64electrodes extended from the10-20system of24electrodes is drawn.4) An EEG experiment based on the Oddball paradigm is designed and after thedata acquisition and preprocessing, linear coherence analysis is conducted. Accordingto the analysis result, the brain network is then visualized. Combined with the complexnetwork analysis method, important nodes stand out and the brain functional networkis further explained.