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- W2384190848 abstract "3D unstructured-grid cell-centered data are commonly produced by the recent numerical simulations.For visualization,existing approaches usually pre-extrapolate cell-centered data into cell-vertexed data,which depress the rendering accuracy and the image quality.This paper proposes to do direct sampling for these cell-centered data avoiding extrapolation on the framework of multi-pass raycasting.During sampling,the whole computing work is done using the original data leading to a high rendering accuracy.The field at a sample is reconstructed by the cell-centered data and the cell-gradient.A cell-gradient is well estimated by the Green-Gauss theorem with the aid of face-flux construction.Considering the relationship among the flow variables,this paper constructs the face-flux by the Roe-average method using the two cell-centered data values of the face-adjacencies.The analysis and experiments demonstrate that the approach gains high-accuracy sampling and a high-quality image leading to powerful insight into the characteristic of the flow fields." @default.
- W2384190848 created "2016-06-24" @default.
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- W2384190848 date "2011-01-01" @default.
- W2384190848 modified "2023-09-25" @default.
- W2384190848 title "High-Quality Volume Rendering of Unstructured-Grid Cell-Centered Data in CFD" @default.
- W2384190848 hasPublicationYear "2011" @default.
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