Visualizing Flow Trajectories Using Locality-based Rendering and Warped Curve Plots

Abstract

Fig. 1. Here, water particles are shown moving through a semi-porous medium of soil grains. The color along the trajectories represent speed. The left side uses our locality-based visualization to provide proximity information and focus+context for a single trajectory. The right side uses standard semi-transparent surface rendering.Abstract-In flow simulations the behavior and properties of particle trajectories often depend on the physical geometry contained in the simulated environment. Understanding the flow in and around the geometry itself is an important part of analyzing the data. Previous work has often utilized focus+context rendering techniques, with an emphasis on showing trajectories while simplifying or illustratively rendering the physical areas. Our research instead emphasizes the local relationship between particle paths and geometry by using a projected multi-field visualization technique. The correlation between a particle path and its surrounding area is calculated on-the-fly and displayed in a non-intrusive manner. In addition, we support visual exploration and comparative analysis through the use of linked information visualization, such as manipulatable curve plots and one-on-one similarity plots. Our technique is demonstrated on particle trajectories from a groundwater simulation and a computer room airflow simulation, where the flow of particles is highly influenced by the dense geometry.

A Novel Framework for Visual Detection and Exploration of Performance Bottlenecks in Organic Photovoltaic Solar Cell Materials

“…One requirement for our method is to visualize charge paths in relation to the surrounding geometry. Similar ideas have been used before [JM10, LGD*05], but employed vector fields resulting from simulations. In our work, we instead employ a set of representative paths that are extracted based on the intuition of domain scientists about the physics of OPV materials.…”

Augmented Topological Descriptors of Pore Networks for Material Science

“…Moreover, to distinguish between the channels of different widths, we construct a family of graphs which has an immediate geometric interpretation. Similar to Jones and Ma [14], we propose an exploratory visualization scheme to emphasize relevant flow trajectories with applications to porous media. However, instead of focusing on a locality-based visualization of interactions between the geometry of solid structures and the flow trajectory, our method aims to extract the pore network for estimating the fluid flow using topological descriptors.…”