Ferrari, SimonHu, YaopingMartinuzzi, Robert John2019-10-032019-10-032019-09-10ferrai, S., Hu, Y., & Martinuzzi, R. J. (2019). Evolution Surfaces for Spatiotemporal Visualization of Vortex Features. "Canadian Journal of Electrical and Computer Engineering". 1-12. DOI: 10.1109/CJECE.2019.2917394http://hdl.handle.net/1880/111130Turbulent fluid flow data is often 4-dimensional (4D), spatially and temporally complex, and requires specific techniques for visualization. Common visualization techniques neglect the temporal aspect of the data, limiting the ability to convey feature motion or offering the user a complicated visualization. To remedy this, we present an approach – evolution surfaces – focused on the spatiotemporal rendering of user-selected flow features (i.e., vortices). By abstracting the spatial representation of these features, the approach renders their spatiotemporal behavior with reduced visual complexity. The behavior of vortex features are presented as surfaces, with textures indicating properties of motion and evolution events (e.g., bifurcation and amalgamation) represented by the surface topology. We evaluated the approach on two datasets generated from empirical measurement and computational simulation (Re = 28000 and Re = 1200 respectively). Our approach’s focus on handling evolution events makes it capable of visualizing higher Reynolds number (Re) flows than other surface-based techniques. This approach has been assessed by fluid dynamicists to assert the validity for flow analysis. Evolution surfaces offer a compact visualization of spatiotemporal vortex behaviors, opening potential avenues for exploration and analysis of fluid flows.engUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.feature trackingflow analysisspatiotemporal visualizationvortex extractionjournal articleRGPIN-2015-06601, STPGP 47887010.1109/CJECE.2019.2917394