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Geometric flow visualization techniques for CFD simulation data

机译:CFD仿真数据的几何流性可视化技术

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Visualization of CFD simulation data on adaptive resolution, three-dimensional grids poses several challenges. The wide range of real-world data set sizes and the geometric versatility within individual, CFD simulation models present challenges to the engineers analyzing simulation results. Users also face perceptual problems such as occlusion, visual complexity, lack of directional cues, and lack of depth cues. We present a collection of geometric flow visualization techniques that address these challenges including oriented streamlines, streamlets, and a streamrunner tool. Two novel approaches are included: a real-time animated streamline technique and streamcomets. We place special emphasis on necessary measures required in order for geometric techniques to be applicable to real-world data sets.
机译:在自适应分辨率上可视化CFD仿真数据,三维网格构成了几个挑战。各个现实数据集大小和个人内部的几何多功能性,CFD仿真模型对工程师的挑战对分析仿真结果产生了挑战。用户还面临着感知问题,如遮挡,视觉复杂性,缺乏定向线索,缺乏深度提示。我们介绍了一种几何流量可视化技术,这些技术解决了这些挑战,包括面向的流线,简化和StreamRunner工具。包括两种新颖的方法:实时动画流技术和流式集。我们特别强调需要对现实世界数据集适用的几何技术所需的必要措施。

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